{ "count" : 134267, "data" : [ { "id" : "6a305d29f292fd229cf64d38", "title" : "Sr Storage Engineer", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Storage Engineer in New York, adjusted for the media industry and company size." }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T07:59:07.408", "fingerprint" : "8925eb0867bac30cb7be1a2c3a232969de34a0e0c8638f2a727ae3d12966e0f5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000132276339-sr-storage-engineer", "externalId" : "744000132276339", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Linux, Unix, Scripting languages, Storage systems, Networking protocols, Performance tuning, Cloud platforms, Virtualization technologies, Object storage, File systems, SAN, NAS, Fibre Channel, ISCSI, NVMe-oF, Kubernetes, Containerization", "professionalSkills" : [ "System design", "Performance analysis", "Troubleshooting complex issues" ], "hardSkillsList" : [ "Storage administration", "Network administration", "Performance optimization", "System troubleshooting" ], "hardSkills" : [ { "name" : "Storage administration", "level" : "intermediate" }, { "name" : "Network administration", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "System troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Storage Engineering, System Administration, Performance Tuning", "majorSkillsList" : [ "Storage Engineering", "System Administration", "Performance Tuning" ], "coreResponsibilities" : "Design storage solutions, Implement storage solutions, Manage storage infrastructure, Monitor storage performance, Tune storage systems, Troubleshoot storage issues, Collaborate with other teams, Document storage configurations", "teamCollaboration" : "Collaborate with other teams", "domainKnowledge" : "Storage systems; Networking protocols; Cloud platforms; Virtualization technologies; Object storage; File systems; SAN; NAS; Fibre Channel; iSCSI; NVMe-oF", "domainList" : [ "storage-systems", "networking-protocols", "cloud-platforms", "virtualization-technologies", "object-storage", "file-systems", "san", "nas", "fibre-channel", "iscsi", "nvme-of" ], "domainSpecificKnowledge" : [ "Storage systems", "Networking protocols", "Cloud platforms", "Virtualization technologies", "Object storage", "File systems", "SAN", "NAS", "Fibre Channel", "iSCSI", "NVMe-oF" ], "communicationSkills" : "Document storage configurations", "documentationSkills" : "Document storage configurations", "problemSolvingSkills" : "Troubleshoot storage issues; Performance tuning", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Experience with Linux/Unix, Experience with storage systems, Experience with networking protocols, Experience with scripting languages, Experience with performance tuning, Experience with troubleshooting complex issues", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms, Experience with virtualization technologies, Experience with object storage, Experience with file systems, Experience with SAN/NAS, Experience with Fibre Channel, Experience with iSCSI, Experience with NVMe-oF, Experience with Kubernetes, Experience with containerization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. The Senior Storage Engineer is responsible for the design, implementation, and operation of VERSANT’s enterprise storage platforms across multiple geographic data centers. This role supports large-scale storage environments used by critical media, production, and business systems, ensuring high availability, performance, and reliability. The engineer will manage and optimize enterprise SAN and NAS storage platforms, with a strong focus on Pure Storage, NetApp, and Dell/EMC Isilon systems. The role includes designing scalable storage architectures, supporting high-throughput workloads, managing replication and disaster recovery across sites, and maintaining operational excellence across distributed environments. This is a hands-on engineering role requiring deep technical expertise in enterprise storage platforms, storage networking, and performance optimization. The engineer will partner closely with infrastructure, compute, virtualization, and cloud teams to ensure storage services support both traditional data center workloads and evolving hybrid cloud environments. Key Responsibilities * Storage Platform Engineering * Design, deploy, and manage enterprise storage solutions across multiple geographic data centers. * Architect and operate large-scale SAN and NAS storage environments supporting critical enterprise and media workloads. * Manage and maintain storage systems including: * Pure Storage * NetApp * Dell/EMC Isilon * Plan and execute storage capacity growth, upgrades, and lifecycle management. * Storage Architecture & Performance * Design storage architectures optimized for performance, availability, and scalability. * ·Support high-throughput workloads common in media and digital production environments. * Perform storage performance analysis, tuning, and troubleshooting. * Ensure storage systems meet operational SLAs for performance and reliability. * Data Protection & Disaster Recovery * Implement and maintain replication, snapshot, and backup strategies across geographically distributed storage systems. * Design and support disaster recovery solutions across data centers. * Ensure data protection policies align with business continuity requirements. * Storage Networking & Integration * Support SAN fabrics and storage networking infrastructure. * Integrate storage platforms with compute, virtualization, and container environments. * Collaborate with network and infrastructure teams to ensure reliable connectivity and performance. * Operations & Support * Monitor storage infrastructure and proactively address performance or capacity issues. * Troubleshoot complex storage and data access problems. * Participate in incident response and root cause analysis. * Maintain documentation and operational standards for storage platforms. * Collaboration & Modernization * Partner with infrastructure, virtualization, and cloud teams to support evolving hybrid architectures. * Support initiatives to modernize storage platforms and improve operational automation. * Evaluate emerging storage technologies and recommend improvements. ## Qualifications * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 7+ years of experience in enterprise storage engineering or storage infrastructure roles. * Deep hands-on expertise with enterprise storage platforms including: * Pure Storage * NetApp * Dell/EMC Isilon * Strong experience managing both SAN and NAS storage architectures. * Experience supporting large-scale storage environments across multiple geographic data centers. * Strong understanding of storage networking technologies and SAN fabrics. * Experience with storage replication, disaster recovery, and data protection strategies. * Strong troubleshooting and performance tuning skills for enterprise storage systems. * Experience integrating storage platforms with virtualization and compute environments. * Experience with hybrid cloud or cloud-adjacent storage architectures is a plus. * Excellent communication and collaboration skills. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr Storage Engineer at Versant. Skills: Storage Engineering, System Administration, Performance Tuning. Design storage solutions. Implement storage solutions", "postedDate" : "2026-06-15T19:54:33.000", "createdAt" : "2026-06-15T23:47:23.457", "lastUpdated" : "2026-06-16T07:59:07.408", "ingestTimestamp" : "2026-06-15T23:47:23.457", "mongoId" : "6a305d29f292fd229cf64d38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Storage administration", "Network administration", "Performance optimization", "System troubleshooting", "Storage Engineering", "System Administration", "Performance Tuning", "System design", "Performance analysis", "Troubleshooting complex issues", "Storage systems", "Networking protocols", "Cloud platforms", "Virtualization technologies", "Object storage", "File systems", "SAN", "NAS", "Fibre Channel", "iSCSI", "NVMe-oF" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308b88f292fd229c09971b", "title" : "Sr Storage Engineer", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Storage Engineer in New York, adjusted for the media industry and company size." }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T12:04:32.084", "fingerprint" : "f8b223016754fa0ee71f8370a18278e3cdf0bd49dd70d3241fc8e0f53c313791", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000132276339-sr-storage-engineer", "externalId" : "744000132276339", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. The Senior Storage Engineer is responsible for the design, implementation, and operation of VERSANT’s enterprise storage platforms across multiple geographic data centers. This role supports large-scale storage environments used by critical media, production, and business systems, ensuring high availability, performance, and reliability. The engineer will manage and optimize enterprise SAN and NAS storage platforms, with a strong focus on Pure Storage, NetApp, and Dell/EMC Isilon systems. The role includes designing scalable storage architectures, supporting high-throughput workloads, managing replication and disaster recovery across sites, and maintaining operational excellence across distributed environments. This is a hands-on engineering role requiring deep technical expertise in enterprise storage platforms, storage networking, and performance optimization. The engineer will partner closely with infrastructure, compute, virtualization, and cloud teams to ensure storage services support both traditional data center workloads and evolving hybrid cloud environments. Key Responsibilities * Storage Platform Engineering * Design, deploy, and manage enterprise storage solutions across multiple geographic data centers. * Architect and operate large-scale SAN and NAS storage environments supporting critical enterprise and media workloads. * Manage and maintain storage systems including: * Pure Storage * NetApp * Dell/EMC Isilon * Plan and execute storage capacity growth, upgrades, and lifecycle management. * Storage Architecture & Performance * Design storage architectures optimized for performance, availability, and scalability. * ·Support high-throughput workloads common in media and digital production environments. * Perform storage performance analysis, tuning, and troubleshooting. * Ensure storage systems meet operational SLAs for performance and reliability. * Data Protection & Disaster Recovery * Implement and maintain replication, snapshot, and backup strategies across geographically distributed storage systems. * Design and support disaster recovery solutions across data centers. * Ensure data protection policies align with business continuity requirements. * Storage Networking & Integration * Support SAN fabrics and storage networking infrastructure. * Integrate storage platforms with compute, virtualization, and container environments. * Collaborate with network and infrastructure teams to ensure reliable connectivity and performance. * Operations & Support * Monitor storage infrastructure and proactively address performance or capacity issues. * Troubleshoot complex storage and data access problems. * Participate in incident response and root cause analysis. * Maintain documentation and operational standards for storage platforms. * Collaboration & Modernization * Partner with infrastructure, virtualization, and cloud teams to support evolving hybrid architectures. * Support initiatives to modernize storage platforms and improve operational automation. * Evaluate emerging storage technologies and recommend improvements. ## Qualifications * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 7+ years of experience in enterprise storage engineering or storage infrastructure roles. * Deep hands-on expertise with enterprise storage platforms including: * Pure Storage * NetApp * Dell/EMC Isilon * Strong experience managing both SAN and NAS storage architectures. * Experience supporting large-scale storage environments across multiple geographic data centers. * Strong understanding of storage networking technologies and SAN fabrics. * Experience with storage replication, disaster recovery, and data protection strategies. * Strong troubleshooting and performance tuning skills for enterprise storage systems. * Experience integrating storage platforms with virtualization and compute environments. * Experience with hybrid cloud or cloud-adjacent storage architectures is a plus. * Excellent communication and collaboration skills. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr Storage Engineer at Versant", "postedDate" : "2026-06-15T19:54:33.000", "createdAt" : "2026-06-16T03:31:09.312", "lastUpdated" : "2026-06-16T12:04:32.084", "ingestTimestamp" : "2026-06-16T03:31:09.312", "mongoId" : "6a308b88f292fd229c09971b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e5f9bc74574cb67a508", "title" : "Senior Systems Engineer II - Servers", "company" : "FBISD", "industry" : "Education", "salary" : { "min" : 115500.0, "max" : 168500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Engineer II - Servers in Sugar Land, United States, adjusted for seniority and the education industry." }, "location" : "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "locations" : [ "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "
ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

" ], "timestamp" : "2026-06-15T09:51:06.906", "fingerprint" : "f76b16db6270e5d0fdfe8b13dc51ceb7a305a3d6c524d5f363a0a706f98c2f6a", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=187932", "externalId" : "187932", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AD/Exchange, Server/VMWare, Microsoft Exchange 2003, Server 2003, Microsoft Active Directory, HP Servers, VMWare", "professionalSkills" : [ "Project management" ], "hardSkillsList" : [ "Systems management", "Automation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Systems management", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AD/Exchange, Server/VMWare, Systems management", "majorSkillsList" : [ "AD/Exchange", "Server/VMWare", "Systems management" ], "coreResponsibilities" : "Maintain industry knowledge, Provide support for AD/Exchange, Provide support for Server/VMWare, Manage AD/Exchange, Manage Server/VMWare, Monitor technology integrity, Provide metrics for review, Design technical projects, Prioritize technical projects, Schedule technical projects, Monitor technical projects, Develop project plans, Maintain project schedules, Provide guidance to peers, Provide assistance to peers, Provide mentoring to peers, Review processes, Review procedures, Propose process changes, Propose procedure changes, Define solutions, Design solutions, Implement solutions, Propose system enhancements, Implement system enhancements, Analyze operating systems, Acquire operating systems, Install operating systems, Modify operating systems, Support operating systems, Analyze databases, Acquire databases, Install databases, Modify databases, Support databases, Analyze utilities, Acquire utilities, Install utilities, Modify utilities, Support utilities, Analyze Internet tools, Acquire Internet tools, Install Internet tools, Modify Internet tools, Support Internet tools, Analyze Intranet tools, Acquire Intranet tools, Install Intranet tools, Modify Intranet tools, Support Intranet tools, Conduct systems programming, Conduct systems support, Provide input for improvements, Evaluate upgrades, Evaluate new initiatives, Provide documentation, Provide project tracking, Provide management reporting", "teamCollaboration" : "Peer team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "AD/Exchange; Server/VMWare", "domainList" : [ "ad-exchange", "server-vmware" ], "domainSpecificKnowledge" : [ "AD/Exchange", "Server/VMWare" ], "documentationSkills" : "Documentation", "continuousLearning" : "Attendance at conferences; Professional development", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Lifting less than 40 pounds, Lifting up to 25 pounds, Lifting more than 50 pounds, Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Use hands to finger, Use hands to handle, Use hands to feel, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Prolonged hours, Irregular hours, Maintain emotional control, Mobility among computers, Distance vision, Peripheral vision, Moderate noise level", "qualificationsBasic" : "Bachelor's Degree in MIS, 6 years of experience, 3 years troubleshooting complex issues, 6 years developing processes, 6 years escalations experience, Administering Microsoft Exchange 2003, Administering Microsoft Active Directory, Administering HP Servers, Administering VMWare", "qualificationsPreferred" : "Consider experience in lieu of degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview Provide third level technical and project management expertise to ensure technology functions are in line with FBISD's goals and objectives; provide visionary insight to management in order to plan and integrate newly developed innovations into the Technology Department's long range plan. The position may address complex systems management processes and automation such as configurations, asset, problem, discovery, change, release, and security management. Position Description Essential Duties and Responsibilities Maintain current industry and vendor knowledge on AD/Exchange and/or Server/VMWare products Provide support and/or implementation for all AD/Exchange and/or Server/SAN software and hardware; including but not limited to Microsoft Exchange 2003, Server 2003 Manage AD/Exchange and/or Server/VMWare throughout FBISD to ensure the control, reliability, and performance of all components Monitor the overall integrity of the technologies and provide metrics for review Design, prioritize, schedule and monitor assigned technical projects, developing and maintaining comprehensive project plans/schedules related to AD/Exchange and/or Server/VMWare related to installation, evaluation, and performance of these systems Provide peer team members with guidance, assistance, and mentoring to help develop skills; ongoing review of processes, procedures, and documentation looking for and proposing changes that improve productivity Define, design and implement solutions using various server, storage and computing platforms with a focus on AD/Exchange and/or Server/VMWare Propose and implement systems enhancements (software and hardware updates) that will improve the performance and reliability of the system Work to define, order and install various hardware platforms including operating systems, applications, and possibly their databases Analyze, acquire, install, modify and support operating systems, databases, utilities, and Internet/Intranet related tools. Conducts systems programming and systems support activities, such as new or revised program language code Focus on AD/Exchange and/or Server/VMWare. Provide input for improvements of processes currently in use and works with department management in evaluating upgrades and new initiatives Provide documentation/project tracking and management required reporting Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Bachelor's Degree in MIS A minimum of 6 years of experience in directly related job activities may be considered in lieu of degree requirement. Minimum of 3 years of experience in troubleshooting and resolving high level, complex issues related to AD/Exchange and/or Server/VMWare software and hardware Minimum of 6 years of experience in developing and implementing processes and procedures Minimum of 6 years of experience in escalations and service delivery within a technical organization High level skills in administering Microsoft Exchange 2003, Microsoft Active Directory, HP Servers and VMWare Must be client focused and have the ability to build a positive relationship between the clients, internal groups and technical organization Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information While performing the duties of this job, the employee is regularly required to walk; sit; use hands to finger, handle or feel objects, tools, or controls; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and talk or hear. The employee frequently is required to stand. This position requires mobility to continuously move among computers and associated equipment. The employee must frequently lift and/or move up to 25 pounds and occasionally lift and/or move more than 50 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, and the ability to adjust focus. The noise level in the classroom/administrative environment is moderate. All personnel in this position may be called upon to provide service and/or support at various times. TEXAS-SUGAR LAND", "summaryDescription" : "Senior Systems Engineer II - Servers at FBISD. Skills: AD/Exchange, Server/VMWare, Systems management. Maintain industry knowledge. Provide support for AD/Exchange", "createdAt" : "2026-06-14T06:45:24.078", "lastUpdated" : "2026-06-15T09:51:06.906", "ingestTimestamp" : "2026-06-14T06:45:24.078", "mongoId" : "69ce5e5f9bc74574cb67a508", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 168500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Systems management", "Automation", "Mentoring", "AD/Exchange", "Server/VMWare", "Project management" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eaa8", "title" : "Systems Development Engineer I, AWS ADC Storage Services", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 89200.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-16T01:33:34.488", "fingerprint" : "29fcfa963dd5c943a3378c92c6a5a57d5552a53aac101c3eb14af7225c1ce37f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100480/apply", "externalId" : "fa1dc61f-75ef-4250-84f6-a83617913167", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, C++, Go, Distributed systems, Cloud computing, Data structures, Algorithms, Object-oriented programming, Machine learning, Data processing, Distributed databases, Containerization, CI/CD, Infrastructure as code", "professionalSkills" : [ "System design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Distributed systems", "Cloud computing", "Data structures", "Algorithms", "Object-oriented programming", "Machine learning", "Data processing", "Distributed databases", "Containerization", "CI/CD", "Infrastructure as code" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Distributed databases", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "majorSkills" : "Software development, Distributed systems, Cloud computing", "majorSkillsList" : [ "Software development", "Distributed systems", "Cloud computing" ], "coreResponsibilities" : "Design and implement scalable software systems, Develop and maintain cloud-native applications, Optimize system performance and reliability, Collaborate with cross-functional teams, Write clean, maintainable code, Participate in code reviews, Troubleshoot and resolve production issues, Contribute to architectural decisions, Stay up-to-date with emerging technologies", "teamCollaboration" : "Cross-functional teams; Agile development teams", "projectManagementSkills" : [ "Agile methodologies", "Scrum" ], "domainKnowledge" : "Distributed systems; Cloud-native architecture; Scalable systems", "domainList" : [ "distributed-systems", "cloud-native-architecture", "scalable-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud-native architecture", "Scalable systems" ], "toolProficiency" : [ "Docker", "Kubernetes", "Terraform", "Jenkins", "Git" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development; Conferences; Training", "innovationCreativity" : "Research and development; Prototyping", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Deliver high-quality software; Improve system reliability; Enhance system scalability", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software development, Experience with distributed systems, Experience with cloud computing platforms, Experience with data structures and algorithms, Experience with object-oriented programming, Experience with at least one programming language", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning, Experience with large-scale data processing, Experience with distributed databases, Experience with containerization technologies, Experience with CI/CD pipelines, Experience with infrastructure as code", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "The Amazon Dedicated Cloud (ADC), AWS for Government, Storage Services team is hiring a cleared Systems Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers operating Amazon Elastic File System (EFS), Amazon FSx, and Amazon S3 on Outposts, services that host some of our customers’ most sensitive data. This is a great opportunity to have direct impact to some of the largest-scaled systems in the world and work with some of the smartest people in the industry, while having a huge impact. A successful Systems Development Engineer should be focused on troubleshooting complex system operations, not just on a server level but enterprise wide. Additionally, you will take part and be responsible for developing and building exciting new features for these services - further enabling our customers’ mission. You should also have a solid foundation in multiple operating systems, networking and general knowledge of cloud services. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and maintain an active TS/SCI with polygraph security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a “typical” day engineers might deep dive to root cause a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues. You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You'll become a master at distributed systems troubleshooting, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth. You will be able to measure your success by its visible impact on the efficiency and effectiveness of government services for our nation. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - Associate's degree or above, or CND (Certified Network Defender) or GSEC (GIAC Security Essentials) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Experience tools for automation (building, testing, releasing or monitoring) - Knowledge of and proficiency in the use of Python scripting language - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Knowledge of and proficiency in the use of Python scripting language - Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Engineer I, AWS ADC Storage Services at Amazon Development Center U.S., Inc.. Skills: Software development, Distributed systems, Cloud computing. Design and implement scalable software systems. Develop and maintain cloud-native applications", "postedDate" : "2026-06-14T19:49:40.709", "createdAt" : "2026-06-14T19:49:40.709", "lastUpdated" : "2026-06-16T01:33:34.488", "ingestTimestamp" : "2026-06-14T19:49:40.709", "mongoId" : "68e0a7e3ce260f92cbf8eaa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100480/apply", "salaryAnnualMin" : 89200, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Software development", "Distributed systems", "Cloud computing", "Data structures", "Algorithms", "Object-oriented programming", "Machine learning", "Data processing", "Distributed databases", "Containerization", "CI/CD", "Infrastructure as code", "System design", "Problem solving", "Analytical thinking", "Agile methodologies", "Scrum", "Cloud-native architecture", "Scalable systems", "Docker", "Kubernetes", "Terraform", "Jenkins", "Git" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309026f292fd229c0b0981", "title" : "Sr Software Development Engineer", "company" : "Wizards of the Coast", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Development Engineer in Canada, adjusted for seniority and industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T14:33:31.327", "fingerprint" : "8b384392ff7cce5dbd291802463ad542045122fa62206c1722549c32e18f517c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249822009", "externalId" : "4249822009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Golang, Docker, Kubernetes, EKS, ECS, Grafana, Datadog, Prometheus, AI", "professionalSkills" : [ "System design", "Service delivery" ], "hardSkillsList" : [ "Software development", "Service delivery", "Data pipeline optimization", "Real-time analytics", "Performance tracking", "Infrastructure automation", "Infrastructure as code", "Container orchestration", "System debugging", "Account management", "Access control", "Social services", "Telemetry services" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Service delivery", "level" : "intermediate" }, { "name" : "Data pipeline optimization", "level" : "intermediate" }, { "name" : "Real-time analytics", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "System debugging", "level" : "intermediate" }, { "name" : "Account management", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Social services", "level" : "intermediate" }, { "name" : "Telemetry services", "level" : "intermediate" } ], "majorSkills" : "Software Development, DevOps, Cloud Infrastructure, Data Engineering", "majorSkillsList" : [ "Software Development", "DevOps", "Cloud Infrastructure", "Data Engineering" ], "coreResponsibilities" : "Develop and deliver digital game services, Support data pipeline redesign, Develop scalable telemetry system, Support real-time analytics, Support performance tracking, Provide technical support for game launches, Integrate in-game promotions, Integrate marketing campaigns, Collaborate with game studios, Collaborate with marketing teams, Collaborate with analytics teams, Collaborate with infrastructure teams, Deliver large-scale services, Update services, Deploy services, Participate in long-term planning, Define ecosystem goals, Define ecosystem actions, Own service ecosystem, Act as service expert, Write client documentation, Write developer documentation, Write team documentation", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders", "domainKnowledge" : "Distributed applications; Modern data ecosystems; Game services", "domainList" : [ "distributed-applications", "modern-data-ecosystems", "game-services" ], "domainSpecificKnowledge" : [ "Distributed applications", "Modern data ecosystems", "Game services" ], "toolProficiency" : [ "Docker", "Kubernetes", "EKS", "ECS", "Grafana", "Datadog", "Prometheus" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "High-quality documentation", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "5+ years of software development, Experience supporting game dev teams, Experience delivering highly available systems, Experience with AWS, Experience with Golang, Experience with container orchestration, Experience with observability and debugging, Experience integrating third-party account systems, Experience automating infrastructure, Experience integrating AI tools", "qualificationsPreferred" : "Good understanding of infrastructure for distributed applications, Kubernetes experience a plus, EKS and ECS experience a plus, Datadog experience a plus, Prometheus experience a plus, Grafana experience a plus, Playstation integration experience a plus, Steam integration experience a plus, Xbox integration experience a plus, Apple integration experience a plus, Google integration experience a plus", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Entrez dans le multivers : Votre prochaine aventure commence ici Chez Wizards of the Coast, nous cultivons le pouvoir de l'imagination et de la connexion pour créer des expériences inoubliables. Nous créons des divertissements qui inspirent la créativité, éveillent la passion, forgent des amitiés et favorisent la création de communautés dans le monde entier. À chaque fois, notre mission est d'inspirer un amour fidèle pour le jeu. Qu'il s'agisse de la profondeur stratégique de Magic : The Gathering®, de la richesse narrative de Dungeons & Dragons®, de nos studios de jeux vidéo AAA, nous construisons des mondes qui rassemblent les gens, stimulent la créativité et alimentent l'aventure. Alors que nous continuons à nous développer et à explorer de nouveaux domaines, nous recherchons des esprits passionnés, curieux et innovants pour se joindre à notre aventure. Le groupe Technologie centrale de Wizards of the Coast est responsable de la création de services partagés pour nos jeux numériques et autres produits numériques afin de permettre à nos partenaires de se concentrer sur le développement qui rend leur produit unique. Technologie centrale est propriétaire de systèmes qui offrent à nos partenaires des fonctionnalités de gestion des comptes, des droits d’accès, des services sociaux et de télémétrie. Ce que tu feras en tant que développeur.euse logiciel sénior.e Accroître notre capacité à développer et à fournir des services de jeux numériques qui alimentent l'écosystème de produits et d'outils numériques de Wizards of the Coast. Soutenir la refonte et l'optimisation de notre pipeline de données afin de développer un système de télémétrie indépendant et évolutif, capable de prendre en charge l’analytique en temps réel ainsi qu’un suivi des performances robuste à travers l’ensemble des produits. Apporter un soutien technique clé en vue des lancements imminents de nos jeux, notamment en ce qui concerne les promotions en jeu et les intégrations marketing visant à renforcer l’engagement des joueurs sur l’ensemble des plateformes. Collaborer avec les studios de jeux, les équipes marketing, analytiques et d’infrastructure pour s’assurer que les composants technologiques partagés répondent aux besoins des parties prenantes internes et externes. Être un.e leader dans la prestation de services à grande échelle auprès d’un large groupe de clients internes et externes. Mettre à jour et déployer des services et pipelines en utilisant les meilleures pratiques de l'industrie. Participer à la planification à long terme afin de définir des objectifs et des actions pour l’ensemble des utilisateurs de notre écosystème. Être un.e propriétaire et expert.e de notre écosystème de services. Rédiger une documentation de haute qualité à l’intention des clients, des développeurs et notre équipe pour favoriser une meilleure compréhension de notre écosystème. Ce que tu apportes : Plus de 5 ans d'expérience en développement logiciel, y compris une expérience dans le soutien à la livraison de services pour des équipes de développement de jeux. Expérience dans la livraison de systèmes hautement disponibles et évolutifs destinés à des services de jeu similaires à Battle.net ou EA Accounts. Expérience avec AWS et bonne compréhension de l'infrastructure pour les applications distribuées. Expérience avec Golang Expérience en orchestration de conteneurs, notamment, mais sans s'y limiter, Docker, Kubernetes, EKS et ECS. Expérience de l'observabilité et du débogage de systèmes à grande échelle utilisant des écosystèmes de données modernes (Grafana, Datadog, Prometheus). Expérience dans l'intégration de systèmes de comptes tiers tels que Playstation, Steam, Xbox, Apple et Google. Expérience dans l'automatisation d'infrastructure et dans l'infrastructure en tant que code. Expérience dans l'intégration d'outils d'IA dans ton flux de travail. Chez Wizards, nous croyons en la magie de la diversité : les grandes idées naissent de perspectives uniques. Nous nous engageons à créer un lieu de travail inclusif et accueillant où chaque personne est valorisé e. Wizards est un employeur qui prône l'égalité des chances et ne pratique aucune discrimination fondée sur la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité de genre, le pays d’origine, l'âge, l'état civil ou tout autre statut protégé par la loi. Wizards fournira des accommodations raisonnables dans le cadre du processus d’application à la demande des personnes le désirant tout en étant conforme aux lois en vigueur. Si tu es en situation d’handicap et que tu as besoin d'aide, n’hésite pas à contacter ton recruteur ou ton coordinateur. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Sr Software Development Engineer at Wizards of the Coast. Skills: Software Development, DevOps, Cloud Infrastructure, Data Engineering. Develop and deliver digital game services. Support data pipeline redesign", "postedDate" : "2026-06-16T03:15:47.952", "createdAt" : "2026-06-16T03:15:47.952", "lastUpdated" : "2026-06-16T14:33:31.327", "ingestTimestamp" : "2026-06-16T03:15:47.952", "mongoId" : "6a309026f292fd229c0b0981", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Software development", "Service delivery", "Data pipeline optimization", "Real-time analytics", "Performance tracking", "Infrastructure automation", "Infrastructure as code", "Container orchestration", "System debugging", "Account management", "Access control", "Social services", "Telemetry services", "Software Development", "DevOps", "Cloud Infrastructure", "Data Engineering", "System design", "Distributed applications", "Modern data ecosystems", "Game services", "Docker", "Kubernetes", "EKS", "ECS", "Grafana", "Datadog", "Prometheus" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309026f292fd229c0b0984", "title" : "Sr Software Development Engineer", "company" : "Wizards of the Coast", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Development Engineer in Montreal, Canada, adjusted for industry and company size." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T11:39:36.605", "fingerprint" : "7445674ac8720b7c92639a2059c548f63aed9a27d209c9e2073b710ed03c0c5e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249823009", "externalId" : "4249823009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. The Central Technology group at Wizards of the Coast is responsible for building shared services for our digital games and other digital products to allow our partners to focus on the development that makes their product unique. Central Technology owns systems that provide accounts, entitlements, social, and telemetry capabilities to our partners. Location: This role is based in our Montreal, QC office with an in-office schedule 3 days per week. What You'll Do: Expand our ability to develop and deliver the digital gaming services that power the Wizards of the Coast ecosystem of digital products and tools. Bring key technical efforts to support the upcoming launch of our games, including in-game promotions and marketing integrations that enhance player engagement across platforms. Support the refactoring of our data pipeline to develop an independent, scalable telemetry system that supports real-time analytics and robust performance monitoring across products. Be a leader in large scale service delivery to an extended group of customers internal and external. Partner with game studios, marketing, analytics, and infrastructure teams to ensure shared technology components meet the needs of both internal and external stakeholders Update and deploy services and pipelines using industry best practices Engage in long term planning to set goals and work for all customers of our ecosystem Be an owner and expert in our service ecosystem Write high quality documentation for customers, developers, and our team to increase understanding of our ecosystem. What You'll Bring: 5+ years of software development experience, including experience supporting delivery of services in support of game teams Experience delivering highly available, scalable systems targeted at gaming services similar to Battle.net or EA Accounts. Experience with AWS and understanding of the infrastructure for distributed applications Experience with Golang Experience with container orchestration, including but not limited to Docker, Kubernetes, EKS and ECS. Experience with observability and debug ability for large scale systems using modern data ecosystems (Grafana, Datadog, Prometheus). Experience with integration of third party account systems like Playstation, Steam, Xbox, Apple, and Google. Experience with building infrastructure automation and infrastructure as code. Experience with integrating AI tooling into your workflow At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards Entrez dans le multivers : Votre prochaine aventure commence ici Chez Wizards of the Coast, nous cultivons le pouvoir de l'imagination et de la connexion pour créer des expériences inoubliables. Nous créons des divertissements qui inspirent la créativité, éveillent la passion, forgent des amitiés et favorisent la création de communautés dans le monde entier. À chaque fois, notre mission est d'inspirer un amour fidèle pour le jeu. Qu'il s'agisse de la profondeur stratégique de Magic : The Gathering®, de la richesse narrative de Dungeons & Dragons®, de nos studios de jeux vidéo AAA, nous construisons des mondes qui rassemblent les gens, stimulent la créativité et alimentent l'aventure. Alors que nous continuons à nous développer et à explorer de nouveaux domaines, nous recherchons des esprits passionnés, curieux et innovants pour se joindre à notre aventure. Le groupe Technologie centrale de Wizards of the Coast est responsable de la création de services partagés pour nos jeux numériques et autres produits numériques afin de permettre à nos partenaires de se concentrer sur le développement qui rend leur produit unique. Technologie centrale est propriétaire de systèmes qui offrent à nos partenaires des fonctionnalités de gestion des comptes, des droits d'accès, des services sociaux et de télémétrie. Ce que tu feras en tant que développeur.euse logiciel sénior.e Accroître notre capacité à développer et à fournir des services de jeux numériques qui alimentent l'écosystème de produits et d'outils numériques de Wizards of the Coast. Soutenir la refonte et l'optimisation de notre pipeline de données afin de développer un système de télémétrie indépendant et évolutif, capable de prendre en charge l'analytique en temps réel ainsi qu'un suivi des performances robuste à travers l'ensemble des produits. Apporter un soutien technique clé en vue des lancements imminents de nos jeux, notamment en ce qui concerne les promotions en jeu et les intégrations marketing visant à renforcer l'engagement des joueurs sur l'ensemble des plateformes. Collaborer avec les studios de jeux, les équipes marketing, analytiques et d'infrastructure pour s'assurer que les composants technologiques partagés répondent aux besoins des parties prenantes internes et externes. Être un.e leader dans la prestation de services à grande échelle auprès d'un large groupe de clients internes et externes. Mettre à jour et déployer des services et pipelines en utilisant les meilleures pratiques de l'industrie. Participer à la planification à long terme afin de définir des objectifs et des actions pour l'ensemble des utilisateurs de notre écosystème. Être un.e propriétaire et expert.e de notre écosystème de services. Rédiger une documentation de haute qualité à l'intention des clients, des développeurs et notre équipe pour favoriser une meilleure compréhension de notre écosystème. Ce que tu apportes : Plus de 5 ans d'expérience en développement logiciel, y compris une expérience dans le soutien à la livraison de services pour des équipes de développement de jeux. Expérience dans la livraison de systèmes hautement disponibles et évolutifs destinés à des services de jeu similaires à Battle.net ou EA Accounts. Expérience avec AWS et bonne compréhension de l'infrastructure pour les applications distribuées. Expérience avec Golang Expérience en orchestration de conteneurs, notamment, mais sans s'y limiter, Docker, Kubernetes, EKS et ECS. Expérience de l'observabilité et du débogage de systèmes à grande échelle utilisant des écosystèmes de données modernes (Grafana, Datadog, Prometheus). Expérience dans l'intégration de systèmes de comptes tiers tels que Playstation, Steam, Xbox, Apple et Google. Expérience dans l'automatisation d'infrastructure et dans l'infrastructure en tant que code. Expérience dans l'intégration d'outils d'IA dans ton flux de travail. Chez Wizards, nous croyons en la magie de la diversité : les grandes idées naissent de perspectives uniques. Nous nous engageons à créer un lieu de travail inclusif et accueillant où chaque personne est valorisé e. Wizards est un employeur qui prône l'égalité des chances et ne pratique aucune discrimination fondée sur la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité de genre, le pays d'origine, l'âge, l'état civil ou tout autre statut protégé par la loi. Wizards fournira des accommodations raisonnables dans le cadre du processus d'application à la demande des personnes le désirant tout en étant conforme aux lois en vigueur. Si tu es en situation d'handicap et que tu as besoin d'aide, n'hésite pas à contacter ton recruteur ou ton coordinateur. #Wizards Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Sr Software Development Engineer at Wizards of the Coast", "postedDate" : "2026-06-16T03:15:45.890", "createdAt" : "2026-06-16T03:15:45.890", "lastUpdated" : "2026-06-16T11:39:36.605", "ingestTimestamp" : "2026-06-16T03:15:45.890", "mongoId" : "6a309026f292fd229c0b0984", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d770f0b99d58d669cc", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Web Services Taiwan Limited", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Systems Development Engineer in Taipei, Taiwan, with 4+ years of experience in AWS Generative AI & ML Servers at a large technology company." }, "location" : "Taipei City, TWN", "locations" : [ "Taipei City, TWN" ], "timestamp" : "2026-06-15T10:08:06.156", "fingerprint" : "e2b2abc39465d925565f53481e35fa5ab78a987cf4576c54b1b810713b1c0a07", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103443/apply", "externalId" : "35c6171f-14ac-42ee-9b9b-e38f0e68b377", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "technicalSkills" : "C++, C#, Java, Python, Golang, PowerShell, Ruby, Linux, Unix, AWS", "professionalSkills" : [ "Systems design", "Software development", "Operations", "Process improvement", "System architecture" ], "hardSkillsList" : [ "Systems debugging", "Hardware design", "Software design", "System diagnosis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Systems debugging", "level" : "intermediate" }, { "name" : "Hardware design", "level" : "intermediate" }, { "name" : "Software design", "level" : "intermediate" }, { "name" : "System diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Machine Learning, Cloud computing, Server hardware", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Cloud computing", "Server hardware" ], "coreResponsibilities" : "Solve complex architectural problems, Own team systems, Identify deficiencies proactively, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Work with SDEs, Work with SDETs, Work with Hardware Engineers, Work with TPMs, Drive high quality reliability, Design AWS Accelerated server solutions", "teamCollaboration" : "Cross-functional teams; Global development teams", "domainKnowledge" : "Generative AI; AI/ML; HPC workloads; x86 architecture; Cloud scale; Baremetal server hardware", "domainList" : [ "generative-ai", "ai-ml", "hpc-workloads", "x86-architecture", "cloud-scale", "baremetal-server-hardware" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML", "HPC workloads", "x86 architecture", "Cloud scale", "Baremetal server hardware" ], "innovationCreativity" : "Innovative self-starter", "problemSolvingSkills" : "Systems debugger; Troubleshooting", "qualificationsBasic" : "6+ years programming modern language, 6+ years software development experience, 6+ years designing or architecting systems, 4+ years systems development IT, 4+ years deploying operating Linux/Unix, 6+ years systems design software development, Experience leading design build deployment complex software", "qualificationsPreferred" : "1+ years development programming scripting language, Knowledge engineering practices patterns, Experience leading building complex software infrastructure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 6+ years of non-internship professional software development experience - 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of systems development in an IT or data center environment experience - 4+ years of deploying and operating in a Linux/Unix environment experience - 6+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred Qualifications: - 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Web Services Taiwan Limited. Skills: Generative AI, Machine Learning, Cloud computing, Server hardware. Solve complex architectural problems. Own team systems", "postedDate" : "2026-06-14T06:59:57.863", "createdAt" : "2026-06-14T06:59:57.863", "lastUpdated" : "2026-06-15T10:08:06.156", "ingestTimestamp" : "2026-06-14T06:59:57.863", "mongoId" : "68e6b1d770f0b99d58d669cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103443/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Systems debugging", "Hardware design", "Software design", "System diagnosis", "Leadership", "Generative AI", "Machine Learning", "Cloud computing", "Server hardware", "Systems design", "Software development", "Operations", "Process improvement", "System architecture", "AI/ML", "HPC workloads", "x86 architecture", "Cloud scale", "Baremetal server hardware" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a186a5b58b93c861e19a40b", "title" : "Sr. Systems Engineer", "company" : "Atlas Technica", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Engineer in New York, adjusted for the technology industry and company size." }, "location" : "New York, NY", "locations" : [ "New York", "NY" ], "timestamp" : "2026-06-16T03:58:31.889", "fingerprint" : "e0b1174b175b2878e15f9301c9d8068c7b500a64572d7407dfb6d690e5f12b48", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://atlas-technica.breezy.hr/p/48cc60113c7b-sr-systems-engineer-hybrid", "externalId" : "48cc60113c7b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Position Name: Sr. Systems Engineer Reports to: Client Technology Manager Location/Type: New York, NY/Hybrid Onsite Atlas Technica", "summaryDescription" : "Sr. Systems Engineer at Atlas Technica", "createdAt" : "2026-06-14T20:27:18.101", "lastUpdated" : "2026-06-16T03:58:31.889", "ingestTimestamp" : "2026-06-14T20:27:18.101", "mongoId" : "6a186a5b58b93c861e19a40b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8970f0b99d5843fc1f", "title" : "Sr. System Development Engineer, Storage System Development", "company" : "Amazon Data Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-14T22:28:03.266", "fingerprint" : "ec388b8fc7314d2c055fe659f081831da4dc3d76e8968d1b2ca991c93af4193d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139269/apply", "externalId" : "9d9ff6f7-f015-4cad-a596-53419950a4cc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, C#, Java, Python, Golang, PowerShell, Ruby, Linux, Unix, ARM, x86, AWS, EC2, EBS, S3", "professionalSkills" : [ "System design", "Automation", "Process improvement", "Orchestration tooling", "Hardware integration", "Kernel driver debugging" ], "hardSkillsList" : [ "System-level software", "Device drivers", "Storage subsystems", "Compute server architecture", "Storage server architecture" ], "hardSkills" : [ { "name" : "System-level software", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Storage subsystems", "level" : "intermediate" }, { "name" : "Compute server architecture", "level" : "intermediate" }, { "name" : "Storage server architecture", "level" : "intermediate" } ], "majorSkills" : "Storage system development, Automation software, System-level software", "majorSkillsList" : [ "Storage system development", "Automation software", "System-level software" ], "coreResponsibilities" : "Lead development of automation software, Design and build scalable system-level software, Develop and maintain device drivers, Debug and resolve Linux boot issues, Debug and resolve Linux runtime issues, Build automation solutions, Work with OS internals, Work with storage subsystems, Collaborate with teams on distributed storage, Collaborate with teams on storage hardware, Troubleshoot complex system-level issues, Help design servers, Make servers more robust, Define and build software, Build enabling track, Report progress, Ensure new storage hardware addresses functionality, Identify potential problems, Build, manage, and deploy pipelines, Deploy new code changes, Build monitoring tools, Ensure hardware is running properly", "teamCollaboration" : "Across multiple teams; Across internal HWEng teams; Work with internal customers; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning", "Build pipelines", "Deploy pipelines" ], "domainKnowledge" : "Storage infrastructure; Distributed storage platform; Linux kernel; Storage subsystems; Distributed systems; Storage hardware; Compute server architecture; Storage server architecture", "domainList" : [ "storage-infrastructure", "distributed-storage-platform", "linux-kernel", "storage-subsystems", "distributed-systems", "storage-hardware", "compute-server-architecture", "storage-server-architecture" ], "domainSpecificKnowledge" : [ "Storage infrastructure", "Distributed storage platform", "Linux kernel", "Storage subsystems", "Distributed systems", "Storage hardware", "Compute server architecture", "Storage server architecture" ], "toolProficiency" : [ "Python", "Ruby", "Java" ], "continuousLearning" : "Rapidly coming up to speed on new disciplines", "problemSolvingSkills" : "Debug; Troubleshoot; Root cause analysis", "qualificationsBasic" : "5+ years programming C++, C#, Java, Python, Golang, PowerShell, or Ruby, 5+ years non-internship professional software development, 5+ years designing or architecting systems, 5+ years systems development in IT or data center, 5+ years deploying and operating in Linux/Unix, 5+ years systems design, software development, operations, automation, process improvement, Experience leading design, build, and deployment of complex software solutions", "qualificationsPreferred" : "Knowledge of engineering practices for full SDLC, Experience leading building complex software or computing infrastructure, 6+ years development/programming/scripting language experience, 10+ years designing or architecting systems, Knowledge of AWS services, Experience in compute and storage server architecture and design, Experience in Unix, Experience scripting in modern programming languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Senior Systems system Engineer to lead the development of automation software for our storage infrastructure. You will work across multiple teams and organizations to build scalable, reliable systems that power our distributed storage platform. Key job responsibilities - Lead the development of automation software across teams - Design and build scalable system-level software with focus on durability, availability, security, and diagnostics - Develop and maintain device drivers for Linux on ARM and x86 architectures - Debug and resolve Linux boot and runtime issues across different processor architectures - Build automation solutions using modern programming languages (Python, Ruby, Java, etc.) - Work with OS internals and storage subsystems in Linux-based environments - Collaborate with teams working on distributed storage systems and storage hardware - Troubleshoot complex system-level issues in production environments - Help design servers, make them more robust A day in the life Lead the Hardware Engineering (HWEng) System Development (SysDE) effort to define and build software and enabling tools; track and report progress. Work across internal HWEng teams, to ensure new storage hardware addresses data path and control path functionality needed by the EC2, EBS, and S3 teams. Work closely with internal customers to identify early any potential problems with on-boarding new storage servers into their ecosystem. Build, manage, and deploy pipelines for rapid deployment of new code changes to a variety of org-owned and customer-owned systems. Build monitoring tools and metrics to ensure hardware is running properly in both lab and production environments. About the team System Development Engineers in AWS Hardware Engineering wear many hats. From orchestration tooling development, to hardware integration, to kernel driver debugging, we dive deep into problems across the breadth of AWS. The ideal candidate will have a proven track record of rapidly coming up to speed on new engineering disciplines, making impactful decisions within that space, and have experience gluing together components written by more specialized engineers to create a cohesive, well-running engineering product. Basic Qualifications: - 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 5+ years of non-internship professional software development experience - 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of systems development in an IT or data center environment experience - 5+ years of deploying and operating in a Linux/Unix environment experience - 5+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - 6+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience - 10+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3) - Experience in compute and storage server architecture and design for large scale applications - Experience in Unix, or experience scripting in modern programming languages Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. System Development Engineer, Storage System Development at Amazon Data Services, Inc.. Skills: Storage system development, Automation software, System-level software. Lead development of automation software. Design and build scalable system-level software", "postedDate" : "2026-06-13T02:43:50.421", "createdAt" : "2026-06-13T02:43:50.421", "lastUpdated" : "2026-06-14T22:28:03.266", "ingestTimestamp" : "2026-06-13T02:43:50.421", "mongoId" : "693c2b8970f0b99d5843fc1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139269/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "System-level software", "Device drivers", "Storage subsystems", "Compute server architecture", "Storage server architecture", "Storage system development", "Automation software", "System design", "Automation", "Process improvement", "Orchestration tooling", "Hardware integration", "Kernel driver debugging", "Roadmap planning", "Build pipelines", "Deploy pipelines", "Storage infrastructure", "Distributed storage platform", "Linux kernel", "Distributed systems", "Storage hardware", "Python", "Ruby", "Java" ], "skillCount" : 24, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a660774d8ee00a062b954", "title" : "Systems Development Engineer", "company" : "Amazon Development Centre Ireland Limited", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, amazon security", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Systems Development Engineer in Dublin, Ireland, adjusted for the technology industry and company size." }, "location" : "Dublin, IRL", "locations" : [ "Dublin, IRL" ], "timestamp" : "2026-06-16T02:44:06.506", "fingerprint" : "ae8f0c2a35f7593e0d9f6eb434f6c4fc709ac33941aee7e781734b9cb37f7004", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443456/apply", "externalId" : "8a479797-458d-484c-980d-72d67f7f8d1a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Our team is looking for a highly motivated Systems Development Engineer in Amazon Security who will raise the security bar by delivering industry-best security services. You should be somebody who enjoys inventing and simplifying around complex security challenges, obsesses over the customer experience, and feels strongly about delivering results. You should be passionate about solving security hurdles in innovative ways. We do not desire to simply produce good software here at Amazon Security... we want to produce disruptive, industry-leading innovations. Key job responsibilities Each day, hundreds of thousands of developers and customers make billions of transactions worldwide on our cloud and the Amazon retail site. The Amazon Security team owns security for all of these services offered by Amazon Security, including EC2, S3, and many others, as well as the security of our global retail sites. This team is an EU-based Operations team, integrated with Software Development teams, supporting Amazon Foundational Security Services, to provide our customers with secure by default security services. We dive deep into security technologies such as new access control design patterns, identity security services, access control, authorization, authentication, and life cycle management to support our customers as Amazon continues to scale and grow. We are looking for software professionals from diverse backgrounds, who are creative problem solvers, and passionate about delivering solutions that improve both user experience and security. We are a global team and have a culture of learning from each other. We don’t expect people to join our team knowing everything. We want people who are excited to learn, to challenge the status quo, and who are energized by building highly scalable and available systems on a global scale. The EUSC Operations team runs a 24/7/365 operation, and on-call support will be required as part of this role. You would join the on-call rotation approximately once every 4–6 weeks. Our team values work-life harmony. Being part of a 24/7/365 on-call rotation is an important aspect of maintaining operational excellence in this role, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. On-call rotations are structured to be manageable — occurring roughly once every 4–6 weeks — so that you can stay engaged and effective without feeling overburdened. We encourage members of the team to use personal time as needed to cultivate this balance and to promote a productive and well-balanced life — both in and outside of work. This role requires you to be a national of an EU member state “Amazon will provide relocation support for successful applicants relocating within the European Union\" A day in the life Amazon has a fast-paced environment - “Work Hard, Have Fun, Make History.” Our team works with users to design new security features, deploy software through large automated systems, and operationally support security software. You'll look for new approaches to automate fixes for operational issues and use Amazon Security services to solve design problems. Our team also puts a high value on work-life balance. A healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible schedule so you can have a more productive and balanced life—both in and outside of work. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience (non-internship) in professional software development - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - This role requires you to be a national of an EU member state Preferred Qualifications: - Experience with PowerShell (preferred), Python, Ruby, or Java - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience effectively communicating complex concepts through written and verbal communication - Experience with AWS services - Experience mentoring an engineering community on complex technical issues - Experience in deploying identity and access management systems, or experience in web security Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Development Engineer at Amazon Development Centre Ireland Limited", "postedDate" : "2026-06-14T19:40:44.490", "createdAt" : "2026-06-14T19:40:44.490", "lastUpdated" : "2026-06-16T02:44:06.506", "ingestTimestamp" : "2026-06-14T19:40:44.490", "mongoId" : "6a2a660774d8ee00a062b954", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443456/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145274d8ee00a00bb2cb", "title" : "Sr. Solutions Architect, Storage, WWSO Storage SA Team", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T05:48:48.107", "fingerprint" : "29538e65dcafb827f4cd4b34dd2eedc37812fbe9b5438f08c11b7d09905554c2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441231/apply", "externalId" : "c53b3162-c7d6-408d-8f46-f1661a671980", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "FSx Lustre, AWS", "professionalSkills" : [ "Technical authority", "Strategic customer engagement", "Thought leadership" ], "hardSkillsList" : [ "Storage solutions", "File storage", "Data storage" ], "hardSkills" : [ { "name" : "Storage solutions", "level" : "intermediate" }, { "name" : "File storage", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" } ], "majorSkills" : "Storage architecture, Cloud computing, GenAI use cases, HPC use cases", "majorSkillsList" : [ "Storage architecture", "Cloud computing", "GenAI use cases", "HPC use cases" ], "coreResponsibilities" : "Serve as technical specialist for FSx Lustre, Drive feature adoption, Ensure customer success, Develop technical strategies, Execute technical strategies, Provide architectural guidance, Create technical content, Deliver workshops, Speak at events, Educate customers on best practices, Capture customer feedback, Advocate for customer feedback, Influence FSx Lustre roadmap, Collaborate with field SA teams, Support customer opportunities, Support technical challenges, Mentor other SAs", "teamCollaboration" : "Service teams; Field teams; Strategic customers; Senior engineers; Storage specialists; Storage Product teams; GTM teams; Field SA teams", "domainKnowledge" : "Enterprise storage technologies; File storage solutions; Data storage solutions; Cloud storage solutions; High-performance computing; GenAI", "domainList" : [ "enterprise-storage-technologies", "file-storage-solutions", "data-storage-solutions", "cloud-storage-solutions", "high-performance-computing", "genai" ], "domainSpecificKnowledge" : [ "Enterprise storage technologies", "File storage solutions", "Data storage solutions", "Cloud storage solutions", "High-performance computing", "GenAI" ], "communicationSkills" : "Explain complex architectures; Technical content creation; Industry event presentations", "documentationSkills" : "Document best practices", "innovationCreativity" : "Drive innovation", "specialRequirements" : "25% travel", "outcomesObjectives" : "Drive innovation and adoption; Drive service growth; Enable key technical use cases; Drive service adoption; Establish best practices; Propose service enhancements; Enable successful implementation", "qualificationsBasic" : "6+ years specific technology domain experience, 3+ years design, implementation, or consulting experience, 6+ years IT development or implementation/consulting experience", "qualificationsPreferred" : "Knowledge of AWS services, Cloud Technology Certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 15, 2026 Amazon Web Services (AWS) is proud to be the pioneer and recognized leader in Cloud Computing. Our web services provide IT infrastructure used by hundreds of thousands of developers and businesses worldwide, from startups to Global 500 companies across all industries. AWS is looking for an experienced Storage Solutions Architect to serve as a Subject Matter Expert (SME) for Amazon FSx for Lustre. You will be a technical authority working closely with service teams to drive innovation and adoption while supporting field teams and strategic customers in HPC and GenAI use cases. The ideal candidate is equally comfortable diving deep into storage service internals with engineering teams and explaining complex architectures to technical decision-makers. You will partner with AWS storage service teams to influence roadmaps, document best practices, and drive feature adoption through technical content creation and industry event presentations. Candidates should be technical domain experts in enterprise storage technologies, with particular depth in file and data storage solutions in the cloud. Previous experience with AWS is preferred. You will work closely with senior engineers and other storage specialists to develop comprehensive solutions for customer workloads. In this role, you will partner with Storage Product and GTM teams to enable key technical use cases and drive service adoption. Through thought leadership, you will establish best practices, propose service enhancements, and create technical content that enables successful implementation of AWS storage solutions. This role combines service expertise with strategic customer engagement. Travel requirements are approximately 25%, primarily for speaking engagements and technical events. Key job responsibilities - Serve as the primary technical specialist for FSx Lustre, working closely with the service team to drive feature adoption and customer success - Partner with FSx Lustre GTM/Product teams to develop and execute technical strategies that drive service growth - Provide architectural guidance to customers implementing high-performance computing (HPC) and machine learning workloads using FSx Lustre - Create technical content, deliver workshops, and speak at events to educate customers on FSx Lustre best practices - Capture and advocate for customer feedback to influence the FSx Lustre roadmap - Collaborate with field SA teams to support complex customer opportunities and technical challenges - Mentor other SAs on FSx Lustre architecture patterns and use cases About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 6+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - Knowledge of AWS services, market segments, customer base and industry verticals - Experience working with end user or developer communities - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually USA, TN, Nashville - 145,900.00 - 197,400.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Solutions Architect, Storage, WWSO Storage SA Team at Amazon Web Services, Inc.. Skills: Storage architecture, Cloud computing, GenAI use cases, HPC use cases. Serve as technical specialist for FSx Lustre. Drive feature adoption", "postedDate" : "2026-06-13T15:01:35.142", "createdAt" : "2026-06-13T15:01:35.142", "lastUpdated" : "2026-06-15T05:48:48.107", "ingestTimestamp" : "2026-06-13T15:01:35.142", "mongoId" : "6a25145274d8ee00a00bb2cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441231/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Storage solutions", "File storage", "Data storage", "Storage architecture", "Cloud computing", "GenAI use cases", "HPC use cases", "Technical authority", "Strategic customer engagement", "Thought leadership", "Enterprise storage technologies", "File storage solutions", "Data storage solutions", "Cloud storage solutions", "High-performance computing", "GenAI" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "69cf3f072beec4dd3d934262", "title" : "System Development Engineer, Cloud AI/ML/storage server teams", "company" : "Amazon Web Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 148700.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T04:26:34.686", "fingerprint" : "8823687edd9e93dca7da3376f4112058640e2b0e6b4ae26cfdb53d644d5d6e9b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381607/apply", "externalId" : "26b7080d-b513-4024-8fab-c05b97b23139", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Ruby, Java, C++, C#, Golang, PowerShell, Linux, ARM, x86, PCIe, NVMe, GPU, NVIDIA", "professionalSkills" : [ "System design", "Hardware development", "Fleet health management", "Zero-touch operations", "Root cause analysis", "Hardware integration", "Kernel driver debugging" ], "hardSkillsList" : [ "Automation software development", "Diagnostic tooling development", "Fleet health infrastructure", "Predictive failure detection", "Telemetry data analysis", "Error trending analysis", "Log correlation", "Hardware fault remediation", "Software fault remediation", "Monitoring tool development", "Dashboard development", "Alerting system development", "System-level issue debugging", "Linux boot troubleshooting", "Runtime failure troubleshooting", "Firmware debugging", "Kernel debugging", "Driver debugging", "Physical layer isolation", "Device driver development", "CI/CD pipeline management", "Code deployment", "Data path functionality", "Control path functionality", "Server onboarding", "Testability requirements", "Diagnostic requirements", "Automation requirements", "Server design improvement", "Field failure analysis", "Design improvements" ], "hardSkills" : [ { "name" : "Automation software development", "level" : "intermediate" }, { "name" : "Diagnostic tooling development", "level" : "intermediate" }, { "name" : "Fleet health infrastructure", "level" : "intermediate" }, { "name" : "Predictive failure detection", "level" : "intermediate" }, { "name" : "Telemetry data analysis", "level" : "intermediate" }, { "name" : "Error trending analysis", "level" : "intermediate" }, { "name" : "Log correlation", "level" : "intermediate" }, { "name" : "Hardware fault remediation", "level" : "intermediate" }, { "name" : "Software fault remediation", "level" : "intermediate" }, { "name" : "Monitoring tool development", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Alerting system development", "level" : "intermediate" }, { "name" : "System-level issue debugging", "level" : "intermediate" }, { "name" : "Linux boot troubleshooting", "level" : "intermediate" }, { "name" : "Runtime failure troubleshooting", "level" : "intermediate" }, { "name" : "Firmware debugging", "level" : "intermediate" }, { "name" : "Kernel debugging", "level" : "intermediate" }, { "name" : "Driver debugging", "level" : "intermediate" }, { "name" : "Physical layer isolation", "level" : "intermediate" }, { "name" : "Device driver development", "level" : "intermediate" }, { "name" : "CI/CD pipeline management", "level" : "intermediate" }, { "name" : "Code deployment", "level" : "intermediate" }, { "name" : "Data path functionality", "level" : "intermediate" }, { "name" : "Control path functionality", "level" : "intermediate" }, { "name" : "Server onboarding", "level" : "intermediate" }, { "name" : "Testability requirements", "level" : "intermediate" }, { "name" : "Diagnostic requirements", "level" : "intermediate" }, { "name" : "Automation requirements", "level" : "intermediate" }, { "name" : "Server design improvement", "level" : "intermediate" }, { "name" : "Field failure analysis", "level" : "intermediate" }, { "name" : "Design improvements", "level" : "intermediate" } ], "majorSkills" : "System Development, Cloud AI/ML, Storage Servers, Automation", "majorSkillsList" : [ "System Development", "Cloud AI/ML", "Storage Servers", "Automation" ], "coreResponsibilities" : "Lead development of automation software, Lead development of diagnostic tooling, Lead development of fleet health infrastructure, Build scalable systems, Build reliable systems, Keep compute fleet healthy, Keep storage fleet healthy, Detect issues without human intervention, Diagnose issues without human intervention, Resolve issues without human intervention, Solve complex architectural problems, Own team's systems, Identify system deficiencies, Write scalable code, Write robust code, Solve issues before customer impact, Decompose server problems, Lead delivery of tasks, Drive quality into designs, Drive reliability into designs, Meet tooling requirements, Meet diagnostics requirements, Meet automation requirements, Build automation infrastructure, Design predictive failure detection systems, Implement predictive failure detection systems, Drive toward zero-touch operations, Build automation for fault detection, Build automation for fault diagnosis, Build automation for fault remediation, Develop monitoring tools, Develop dashboards, Develop alerting systems, Provide real-time visibility, Define fleet health metrics, Track fleet health metrics, Debug complex system-level issues, Resolve complex system-level issues, Troubleshoot Linux boot failures, Troubleshoot Linux runtime failures, Perform root cause analysis, Correlate across firmware, Correlate across kernel, Correlate across driver, Correlate across physical layer, Isolate hardware faults, Build diagnostic tooling, Automate root cause identification, Reduce reliance on manual triage, Lead definition of software, Lead development of software, Lead definition of automation, Lead development of automation, Lead definition of enabling tools, Lead development of enabling tools, Track progress, Report progress, Design scalable system-level software, Build scalable system-level software, Develop device drivers, Maintain device drivers, Build automation solutions, Work with OS internals, Work with storage subsystems, Work with accelerator software stacks, Work with GPU software stacks, Build CI/CD pipelines, Manage CI/CD pipelines, Deploy CI/CD pipelines, Ensure new server hardware addresses functionality, Identify potential problems onboarding servers, Engage with ODMs on requirements, Engage with design partners on requirements, Contribute to server design, Improve server robustness, Improve server testability, Improve server diagnosability, Improve server reliability, Partner with datacenter operations teams, Close loop between field failures and design improvements", "teamCollaboration" : "Work across multiple teams; Work across organizations; Collaborate with SDEs; Collaborate with SDETs; Collaborate with Engineers; Collaborate with TPMs; Collaborate with Managers; Collaborate with Principals; Work with ODMs; Work with Design Partners; Work with internal HWEng teams; Work with internal customers; Partner with datacenter operations", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "AI/ML compute; Storage systems; Server platforms; Hardware development lifecycle; Cloud infrastructure; Distributed systems; Datacenter operations", "domainList" : [ "ai-ml-compute", "storage-systems", "server-platforms", "hardware-development-lifecycle", "cloud-infrastructure", "distributed-systems", "datacenter-operations" ], "domainSpecificKnowledge" : [ "AI/ML compute", "Storage systems", "Server platforms", "Hardware development lifecycle", "Cloud infrastructure", "Distributed systems", "Datacenter operations" ], "toolProficiency" : [ "Python", "Ruby", "Java", "C++", "C#", "Golang", "PowerShell" ], "problemSolvingSkills" : "Debugging; Troubleshooting; Root cause analysis; Problem decomposition", "outcomesObjectives" : "Zero-touch operations; Reduce reliance on manual triage", "qualificationsBasic" : "2+ years professional software development, 1+ year system design/architecture, 3+ years systems engineering experience, Knowledge of systems engineering fundamentals, Experience programming at least one modern language", "qualificationsPreferred" : "PowerShell experience preferred, Python experience preferred, Ruby experience preferred, Java experience preferred, Experience working in Agile environment, Familiarity building predictive failure detection, Familiarity with Linux kernel driver development, Familiarity with storage platforms, Familiarity with compute platforms, Familiarity with GPU/accelerator platforms, Familiarity with NVIDIA, Familiarity with BMC/IPMI, Familiarity with firmware, Familiarity with PCIe topology, Familiarity with NVLink, Familiarity with hardware diagnostics, Familiarity working with ODMs, Familiarity building zero-touch automation, Familiarity working in large-scale datacenter, Familiarity working in cloud environments, Track record of rapidly coming up to speed, Familiarity with hardware bring-up, Familiarity with validation, Familiarity with fleet-wide deployment, Familiarity with telemetry pipelines, Familiarity with anomaly detection, Familiarity with operational metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Systems Development Engineer to lead the development of automation software, diagnostic tooling, and fleet health infrastructure for our server platforms. You will work across multiple teams and organizations to build scalable, reliable systems that keep our storage and accelerated (AI/ML) compute fleet healthy — with a vision toward zero-touch operations where automation detects, diagnoses, and resolves issues without human intervention. You will be a technical leader solving complex architectural problems that may not be well-defined in advance. You will own your team's systems, proactively identify deficiencies, write scalable and robust code to solve issues before they impact customers. You will decompose large, difficult server testability, reliability, and diagnosis problems into straightforward tasks and components — leading delivery yourself and through others in parallel — using a combination of hardware, software, system design, processor architecture, diagnostics, and operations knowledge. You will collaborate with a variety of roles (SDEs, SDETs, Mechanical/Electrical/Hardware Engineers, TPMs, Managers, Principals) and organizations through server conception, test validation, qualification, launch, and operations — driving high quality and reliability into current and future designs for AWS server solutions. You will also work closely with ODMs and Design Partners to ensure our tooling, diagnostics, and automation requirements are met throughout the hardware development lifecycle (NPI). Key job responsibilities Fleet Health & Predictive Infrastructure - Build and own the automation infrastructure responsible for the health of the server fleet across storage and accelerator (AI/ML) compute platforms - Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact - Drive toward zero-touch operations — building automation that detects, diagnoses, triages, and remediates hardware and software faults without human intervention - Develop monitoring tools, dashboards, and alerting systems to provide real-time visibility into fleet health across lab and production environments - Define and track fleet health metrics (failure rates, mean time to detect, mean time to repair, first-time fix rate, predictive accuracy) Debugging & Troubleshooting - Debug and resolve complex system-level issues across storage, compute, GPU, networking in production environments - Troubleshoot Linux boot and runtime failures across x86 and ARM architectures, including PCIe, power, NIC, NVMe, and GPU subsystems - Perform root cause analysis on hardware failures — correlating across firmware, kernel, driver, and physical layer to isolate faults - Build diagnostic tooling that automates root cause identification and reduces reliance on manual triage Systems Development & Automation - Lead the definition and development of software, automation, and enabling tools for server hardware programs; track and report progress - Design and build scalable system-level software with focus on durability, availability, security, and diagnostics - Develop and maintain device drivers for Linux on ARM and x86 architectures - Build automation solutions using modern programming languages (Python, Ruby, Java, C/C++, etc.) - Work with OS internals, storage subsystems, and accelerator/GPU software stacks in Linux-based environments - Build, manage, and deploy CI/CD pipelines for rapid deployment of code changes to org-owned and customer-owned systems Cross-Team Collaboration - Work across internal HWEng teams to ensure new server hardware addresses data path and control path functionality needed by dependent service teams - Work closely with internal customers to identify early any potential problems onboarding new servers — storage or accelerated compute — into their ecosystem - Engage with ODMs and design partners on testability, diagnostic, and automation requirements during hardware design and development - Contribute to server design to improve robustness, testability, diagnosability, and reliability - Partner with datacenter operations teams to close the loop between field failures and design improvements About the team Systems Development Engineers in AWS Hardware Engineering wear many hats. From orchestration tooling development to hardware integration to kernel driver debugging, we dive deep into problems across the breadth of AWS. Our teams are directly responsible for launching and maintaining server hardware in the fleet — including storage servers powering distributed storage platforms and AI/ML accelerator servers with GPUs. Located in Seattle and Cupertino, we work with internal development teams, ODMs, and design partners to deliver servers deployed in datacenters worldwide. Basic Qualifications: - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications: - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology - Familiarity building predictive failure detection or proactive remediation systems at fleet scale - Familiarity with Linux kernel driver development - Familiarity with storage, compute, GPU/accelerator platforms (NVIDIA), including driver integration, diagnostics, or performance validation - Familiarity with distributed storage systems (block, object, or file) - Familiarity with server hardware architecture, BMC/IPMI, firmware, PCIe topology, NVLink, and hardware diagnostics - Familiarity working with ODMs or hardware design partners through the product development lifecycle - Familiarity building zero-touch or self-healing automation for large-scale infrastructure - Familiarity working in large-scale datacenter or cloud environments - Track record of rapidly coming up to speed on new engineering disciplines and making impactful decisions - Familiarity with hardware bring-up, validation, and fleet-wide deployment - Familiarity with telemetry pipelines, anomaly detection, and operational metrics at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually", "summaryDescription" : "System Development Engineer, Cloud AI/ML/storage server teams at Amazon Web Services, Inc.. Skills: System Development, Cloud AI/ML, Storage Servers, Automation. Lead development of automation software. Lead development of diagnostic tooling", "postedDate" : "2026-06-13T09:41:28.065", "createdAt" : "2026-06-13T09:41:28.065", "lastUpdated" : "2026-06-15T04:26:34.686", "ingestTimestamp" : "2026-06-13T09:41:28.065", "mongoId" : "69cf3f072beec4dd3d934262", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381607/apply", "salaryAnnualMin" : 148700, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation software development", "Diagnostic tooling development", "Fleet health infrastructure", "Predictive failure detection", "Telemetry data analysis", "Error trending analysis", "Log correlation", "Hardware fault remediation", "Software fault remediation", "Monitoring tool development", "Dashboard development", "Alerting system development", "System-level issue debugging", "Linux boot troubleshooting", "Runtime failure troubleshooting", "Firmware debugging", "Kernel debugging", "Driver debugging", "Physical layer isolation", "Device driver development", "CI/CD pipeline management", "Code deployment", "Data path functionality", "Control path functionality", "Server onboarding", "Testability requirements", "Diagnostic requirements", "Automation requirements", "Server design improvement", "Field failure analysis", "Design improvements", "System Development", "Cloud AI/ML", "Storage Servers", "Automation", "System design", "Hardware development", "Fleet health management", "Zero-touch operations", "Root cause analysis", "Hardware integration", "Kernel driver debugging", "Agile", "Scrum", "AI/ML compute", "Storage systems", "Server platforms", "Hardware development lifecycle", "Cloud infrastructure", "Distributed systems", "Datacenter operations", "Python", "Ruby", "Java", "C++", "C#", "Golang", "PowerShell" ], "skillCount" : 58, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a30811cf292fd229c068df6", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and the technology industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:50:44.660", "fingerprint" : "defe7642e7f4a014b6c3d44749de47c63804e69df78e9bb2cd72762ed6add489", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Sr. Software Engineer, Systems Infrastructure at LinkedIn", "postedDate" : "2026-06-15T21:48:36.000", "createdAt" : "2026-06-16T01:42:19.122", "lastUpdated" : "2026-06-16T11:50:44.660", "ingestTimestamp" : "2026-06-16T01:42:19.122", "mongoId" : "6a30811cf292fd229c068df6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307812f292fd229c029621", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:56:44.621", "fingerprint" : "bfb7d45ff87881a08df85fd5d7c08c44452e91202926a059c2fa447e3b543b28", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Sr. Software Engineer, Systems Infrastructure at LinkedIn", "postedDate" : "2026-06-15T21:48:36.000", "createdAt" : "2026-06-16T01:34:22.911", "lastUpdated" : "2026-06-16T11:56:44.621", "ingestTimestamp" : "2026-06-16T01:34:22.911", "mongoId" : "6a307812f292fd229c029621", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3092acf292fd229c0c3af4", "title" : "Staff Storage Engineer", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Storage Engineer in Bengaluru, India, adjusted for seniority, industry, and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "timestamp" : "2026-06-16T12:54:12.526", "fingerprint" : "d8a7fa8aa0566070b033ab0a6ed2628c798d1bcdd2d9efe5d5a5686bb1b51761", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132111229-staff-storage-engineer", "externalId" : "744000132111229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "NetApp, Dell, Dell ECS, Google Cloud Storage, NetBackup, NetApp CDOT, FC, CIFS, NFS, Linux, Windows, VMware, HyperV, Azure, AWS, GCP, Brocade, Cisco MDS", "professionalSkills" : [ "System design", "Project management", "Capacity Planning", "Performance Management", "High Availability", "Disaster Recovery" ], "hardSkillsList" : [ "Storage architecture", "Backup solutions", "SAN Fabric management", "Data center operations" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Storage architecture", "level" : "intermediate" }, { "name" : "Backup solutions", "level" : "intermediate" }, { "name" : "SAN Fabric management", "level" : "intermediate" }, { "name" : "Data center operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Enterprise storage systems, Backup solutions, SAN Fabric, Data center", "majorSkillsList" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data center" ], "coreResponsibilities" : "Design engineering solutions, Architect engineering solutions, Build engineering solutions, Support global storage environments, Support backup environments, Support data environments, Work on storage arrays, Analyze storage issues, Troubleshoot storage issues, Manage SAN Fabric, Design backup solutions, Architect backup solutions, Manage backup solutions, Design disaster recovery strategies, Architect disaster recovery strategies, Manage disaster recovery strategies, Interact with senior management, Interact with business customers, Interact with external vendors, Identify technical risks, Mitigate technical risks, Identify process inefficiencies, Mitigate process inefficiencies, Adjust priorities, Sort priorities, Distinguish priorities, Handle multiple tasks, Be flexible, Meet deadlines, Meet commitments, Handle interrupts, Guide junior team members, Mentor junior team members, Further SanDisk culture, Further SanDisk values", "teamCollaboration" : "Cross functional teams; Globally dispersed organization; High performing team", "projectManagementSkills" : [ "Organization", "Planning", "Project management" ], "domainKnowledge" : "Enterprise storage systems; Backup solutions; SAN Fabric; Data center operations; 4IR innovations; Flash memory technologies", "domainList" : [ "enterprise-storage-systems", "backup-solutions", "san-fabric", "data-center-operations", "4ir-innovations", "flash-memory-technologies" ], "domainSpecificKnowledge" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data center operations", "4IR innovations", "Flash memory technologies" ], "toolProficiency" : [ "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV", "Azure", "AWS", "GCP" ], "communicationSkills" : "Senior management interaction; Business customer interaction; Vendor interaction", "innovationCreativity" : "Groundbreaking innovations", "problemSolvingSkills" : "Analyze issues; Troubleshoot issues", "specialRequirements" : "Work independently, Minimal oversight", "qualificationsBasic" : "Expert knowledge of NetApp hardware, Expert knowledge Dell products, Experience with Dell ECS, Experience with Google Cloud Storage, Experience with Backup tools, Solid understanding of NetApp CDOT, Knowledge of FC, CIFS, NFS, Knowledge of storage monitoring, Knowledge of OS upgrades, Knowledge of firmware upgrades, Experience with Brocade Director switches, Knowledge of Linux systems, Knowledge of Windows systems, Knowledge of VMware, Knowledge of HyperV, Knowledge of Capacity Planning, Knowledge of Performance Management, Knowledge of High Availability, Knowledge of Disaster Recovery, Knowledge of Maintenance", "qualificationsPreferred" : "Knowledge for Network and Infrastructure Security is desirable, Experience with All-Flash storage arrays, Experience with Nasuni Cloud Appliance, Cloud (Azure/AWS/GCP) exposure, Cloud (Azure/AWS/GCP) experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. About the Role :- We are looking for a seasoned technical storage professional where the candidate will primarily work on design, architect and build solutions for enterprise storage systems and backups in our global data centers and business offices. Storage disciplines should focus on Dell Products, NetApp Products, Nasuni Cloud Appliance as well as SAN Fabric and Backup Solutions (NetBackup primarily). The candidate should possess knowledge of Linux systems, Windows systems & Virtualization (VMware, HyperV) environment. Candidate must have knowledge around Capacity Planning, Performance Management, High Availability and Disaster Recovery, Maintenance. Knowledge for the functions of - Network and Infrastructure Security is desirable. The candidate will collaboratively work within a high performing team within a globally dispersed organization. Prior working experience in a global role is deserved as well as ability to work and function independently with minimal oversight. Responsibilities:- * Design and Architect cost effective, integrated engineering solutions focused on supporting SanDisk’s global storage, backup and data environments. * Storage exposure and working on diverse portfolio of storage arrays, including Dell/EMC (PowerMax, Unity, PowerScale, PowerStore), NetApp and object storage solutions. * Analyze and troubleshoot storage related issues working with cross functional teams. * Manage SAN Fabric using Brocade Directors & Cisco MDS switches. * Design, architect & manage backup solutions & strategies for disaster recovery. * Interact with senior management, business customers and external storage vendors. * Strong organization, planning, and project management. * Identify & mitigate technical risks and process inefficiencies. * Adjust, sort and distinguish priorities. * Handle multiple tasks and be flexible in a fast-paced environment. * Meeting deadlines and commitments in an environment that requires multitasking among multiple concurrent projects while also handling interrupts. * Guide and mentor junior team members. * Furthers SanDisk Organisational culture and values. ## Qualifications Key Technical Skills:- * Expert knowledge of NetApp hardware and software experience administering in mission-critical, 24x7 production environments. * Expert knowledge Dell products (including PowerMax/PowerScale/PowerStore/Unity hardware and software experience). * Experience with Dell ECS & Google Cloud Storage. * Experience with Backup tools (NetBackup/others). * Solid understanding of Network Appliance (NetApp) CDOT operations principles and techniques. * Strong knowledge of FC, CIFS, NFS, storage monitoring and upgrades of both OS and firmware. * Experience with All-Flash storage arrays and Nasuni Cloud Appliance is a plus. * Experience with Brocade Director class switches. * Cloud (Azure/AWS/GCP) exposure & experience. ## Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Staff Storage Engineer at Sandisk. Skills: Enterprise storage systems, Backup solutions, SAN Fabric, Data center. Design engineering solutions. Architect engineering solutions", "postedDate" : "2026-06-15T04:33:14.000", "createdAt" : "2026-06-16T03:33:06.434", "lastUpdated" : "2026-06-16T12:54:12.526", "ingestTimestamp" : "2026-06-16T03:33:06.434", "mongoId" : "6a3092acf292fd229c0c3af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Storage architecture", "Backup solutions", "SAN Fabric management", "Data center operations", "Leadership", "Enterprise storage systems", "SAN Fabric", "Data center", "System design", "Project management", "Capacity Planning", "Performance Management", "High Availability", "Disaster Recovery", "Organization", "Planning", "4IR innovations", "Flash memory technologies", "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV", "Azure", "AWS", "GCP" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3080e2f292fd229c06807e", "title" : "Staff Storage Engineer", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Storage Engineer in Bengaluru, India, adjusted for seniority, industry, and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "timestamp" : "2026-06-16T12:11:48.148", "fingerprint" : "025bc38d93db1ffa514b819e767e1a18cd3914204bb6f1a89f82e015f6e1e3a4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132111229-staff-storage-engineer", "externalId" : "744000132111229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "NetApp, Dell, Dell ECS, Google Cloud Storage, NetBackup, Brocade, Cisco MDS, Linux, Windows, VMware, HyperV, FC, CIFS, NFS, Azure, AWS, GCP", "professionalSkills" : [ "System design", "Project management", "Risk mitigation", "Process improvement" ], "hardSkillsList" : [ "Storage architecture", "Backup solutions", "SAN fabric management", "Capacity planning", "Performance management", "Disaster recovery", "High availability" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Storage architecture", "level" : "intermediate" }, { "name" : "Backup solutions", "level" : "intermediate" }, { "name" : "SAN fabric management", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Enterprise storage systems, Backup solutions, SAN Fabric, Data centers", "majorSkillsList" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data centers" ], "coreResponsibilities" : "Design and Architect solutions, Support global storage environments, Support backup environments, Support data environments, Work on storage arrays, Analyze storage issues, Troubleshoot storage issues, Manage SAN Fabric, Design backup solutions, Architect backup solutions, Manage backup solutions, Design disaster recovery strategies, Architect disaster recovery strategies, Manage disaster recovery strategies, Interact with senior management, Interact with business customers, Interact with external vendors, Identify technical risks, Mitigate technical risks, Identify process inefficiencies, Mitigate process inefficiencies, Adjust priorities, Sort priorities, Distinguish priorities, Handle multiple tasks, Be flexible, Meet deadlines, Meet commitments, Handle interrupts, Guide junior team members, Mentor junior team members, Further SanDisk culture, Further SanDisk values", "teamCollaboration" : "Cross functional teams; Globally dispersed organization; High performing team", "projectManagementSkills" : [ "Organization", "Planning", "Project management" ], "domainKnowledge" : "Enterprise storage systems; Backup solutions; Data centers; SAN Fabric; Flash memory; 4IR innovations; Global supply chain", "domainList" : [ "enterprise-storage-systems", "backup-solutions", "data-centers", "san-fabric", "flash-memory", "4ir-innovations", "global-supply-chain" ], "domainSpecificKnowledge" : [ "Enterprise storage systems", "Backup solutions", "Data centers", "SAN Fabric", "Flash memory", "4IR innovations", "Global supply chain" ], "toolProficiency" : [ "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV" ], "communicationSkills" : "Interact with senior management; Interact with business customers", "innovationCreativity" : "Innovate solutions", "problemSolvingSkills" : "Analyze issues; Troubleshoot issues", "specialRequirements" : "Work independently, Minimal oversight", "qualificationsBasic" : "Expert knowledge of NetApp hardware, Expert knowledge Dell products, Experience with Dell ECS, Experience with Google Cloud Storage, Experience with Backup tools, Solid understanding of NetApp CDOT, Knowledge of FC, CIFS, NFS, Knowledge of storage monitoring, Knowledge of OS upgrades, Knowledge of firmware upgrades, Experience with Brocade Director switches, Knowledge of Linux systems, Knowledge of Windows systems, Knowledge of VMware, Knowledge of HyperV, Knowledge of Capacity Planning, Knowledge of Performance Management, Knowledge of High Availability, Knowledge of Disaster Recovery, Knowledge of Maintenance", "qualificationsPreferred" : "Knowledge for Network and Infrastructure Security is desirable, Experience with All-Flash storage arrays, Experience with Nasuni Cloud Appliance, Cloud (Azure/AWS/GCP) exposure & experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. About the Role :- We are looking for a seasoned technical storage professional where the candidate will primarily work on design, architect and build solutions for enterprise storage systems and backups in our global data centers and business offices. Storage disciplines should focus on Dell Products, NetApp Products, Nasuni Cloud Appliance as well as SAN Fabric and Backup Solutions (NetBackup primarily). The candidate should possess knowledge of Linux systems, Windows systems & Virtualization (VMware, HyperV) environment. Candidate must have knowledge around Capacity Planning, Performance Management, High Availability and Disaster Recovery, Maintenance. Knowledge for the functions of - Network and Infrastructure Security is desirable. The candidate will collaboratively work within a high performing team within a globally dispersed organization. Prior working experience in a global role is deserved as well as ability to work and function independently with minimal oversight. Responsibilities:- * Design and Architect cost effective, integrated engineering solutions focused on supporting SanDisk’s global storage, backup and data environments. * Storage exposure and working on diverse portfolio of storage arrays, including Dell/EMC (PowerMax, Unity, PowerScale, PowerStore), NetApp and object storage solutions. * Analyze and troubleshoot storage related issues working with cross functional teams. * Manage SAN Fabric using Brocade Directors & Cisco MDS switches. * Design, architect & manage backup solutions & strategies for disaster recovery. * Interact with senior management, business customers and external storage vendors. * Strong organization, planning, and project management. * Identify & mitigate technical risks and process inefficiencies. * Adjust, sort and distinguish priorities. * Handle multiple tasks and be flexible in a fast-paced environment. * Meeting deadlines and commitments in an environment that requires multitasking among multiple concurrent projects while also handling interrupts. * Guide and mentor junior team members. * Furthers SanDisk Organisational culture and values. ## Qualifications Key Technical Skills:- * Expert knowledge of NetApp hardware and software experience administering in mission-critical, 24x7 production environments. * Expert knowledge Dell products (including PowerMax/PowerScale/PowerStore/Unity hardware and software experience). * Experience with Dell ECS & Google Cloud Storage. * Experience with Backup tools (NetBackup/others). * Solid understanding of Network Appliance (NetApp) CDOT operations principles and techniques. * Strong knowledge of FC, CIFS, NFS, storage monitoring and upgrades of both OS and firmware. * Experience with All-Flash storage arrays and Nasuni Cloud Appliance is a plus. * Experience with Brocade Director class switches. * Cloud (Azure/AWS/GCP) exposure & experience. ## Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Staff Storage Engineer at Sandisk. Skills: Enterprise storage systems, Backup solutions, SAN Fabric, Data centers. Design and Architect solutions. Support global storage environments", "postedDate" : "2026-06-15T04:33:14.000", "createdAt" : "2026-06-16T01:37:30.315", "lastUpdated" : "2026-06-16T12:11:48.148", "ingestTimestamp" : "2026-06-16T01:37:30.315", "mongoId" : "6a3080e2f292fd229c06807e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Storage architecture", "Backup solutions", "SAN fabric management", "Capacity planning", "Performance management", "Disaster recovery", "High availability", "Leadership", "Enterprise storage systems", "SAN Fabric", "Data centers", "System design", "Project management", "Risk mitigation", "Process improvement", "Organization", "Planning", "Flash memory", "4IR innovations", "Global supply chain", "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6ca", "title" : "Sr. Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T12:40:35.028", "fingerprint" : "f31633db429f0cacc63c56f4de5602a5720ff0d21efc5bc35771ac0fe401950e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "externalId" : "59daad58-6b36-4c39-8907-669a25e9b1a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Senior Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who thrives as the technical anchor of an AWS 2-pizza team. You'll own the architecture and delivery of production systems that power how AWS Professional Services delivers enterprise cloud migrations and modernization at scale. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by thousands of practitioners serving Fortune 500 customers. This is a hands-on builder role with leadership expectations. You'll write code, design systems, lead projects across multiple engineers, mentor teammates, and own operational excellence for your services — all within a product engineering org that ships fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems — every team is working on some aspect of agentic AI: building agents, orchestrating them, evaluating their outputs, or making them extensible. You'll be at the frontier of applied AI engineering. - Small team, big impact — as an AWS 2-pizza team, you'll have direct ownership of significant components. Your architecture decisions directly impact 5000+ consultants across 60+ countries delivering $1B+ in active delivery pipeline. - Full-stack ownership — from React frontends to CDK infrastructure to AI agent logic. No artificial boundaries between \"frontend\" and \"backend\" engineers. - Career growth — we invest in developing senior engineers toward Principal levels. You'll work alongside senior architects and receive direct mentorship on expanding your technical influence beyond a single team. - Direct customer engagement — you'll occasionally engage directly on customer migrations, seeing your tools in action and bringing insights back to improve the platform. Key job responsibilities - Own team-level architecture — design systems that are simple, extensible, and operationally sound - Influence design and technical decisions beyond your immediate team, contributing to org-wide architectural direction and engineering standards - Lead projects spanning multiple engineers; make sound technical decisions and drive execution from design through production deployment - Design and build agentic AI components — whether that's agent logic, orchestration workflows, evaluation pipelines, or integration APIs - Write production code daily — you should spend the majority of your time building, not meeting - Set engineering standards on your team: code quality, testing practices, CI/CD pipelines, observability, and incident response - Solve complex distributed systems problems where trade-offs between latency, consistency, extensibility, and cost aren't obvious - Proactively identify and resolve technical debt; simplify systems rather than layering complexity - Mentor and grow engineers on your team; help junior and mid-level engineers level up through code reviews, design guidance, and career coaching - Communicate technical designs clearly in writing — design docs, RFCs, and architecture decision records - Drive operational excellence: meaningful alarms, runbooks, dashboards, and a culture of learning from incidents - Travel ~5% to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns daily. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems with real constraints, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building complex software systems that have been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:09.001", "lastUpdated" : "2026-06-16T12:40:35.028", "ingestTimestamp" : "2026-06-16T01:54:09.001", "mongoId" : "6a30753df292fd229c00d6ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f072beec4dd3d93427b", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Data Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 129200.0, "max" : 174800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:33:43.550", "fingerprint" : "a42c1dc68de9b95aa34ca41e7e166c6988529b4aad8a3bd4d4861b6c59de5d57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381624/apply", "externalId" : "b1246f98-aaba-4008-bd81-133fede0ca03", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Generative AI, Machine Learning, HPC, x86 architecture, C++, C#, Java, Python, Golang, PowerShell, Ruby", "professionalSkills" : [ "Systems engineering", "Cloud scale", "Architectural problems", "System designs", "Operations knowledge" ], "hardSkillsList" : [ "Systems debugging", "Server hardware", "Userland software", "System diagnosis" ], "softSkillsList" : [ "Leadership", "Organizational skills", "Planning skills" ], "hardSkills" : [ { "name" : "Systems debugging", "level" : "intermediate" }, { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Userland software", "level" : "intermediate" }, { "name" : "System diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" }, { "name" : "Planning skills" } ], "majorSkills" : "Generative AI, Machine Learning, Cloud computing, Systems development", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Cloud computing", "Systems development" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Identify deficiencies proactively, Write tactical code to solve issues, Scale solutions with team, Decompose server system problems, Lead task delivery, Drive high quality into designs, Drive reliability into designs", "teamCollaboration" : "Work with engineers across company; Work with SDEs; Work with SDETs; Work with Hardware Engineers; Work with TPMs; Work with Managers; Work with Principals; Work with EC2; Work with other AWS services", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Generative AI; AI training; AI inference; LLMs; HPC workloads; Cloud computing; Server hardware; AWS services; Instance types; x86 architecture", "domainList" : [ "generative-ai", "ai-training", "ai-inference", "llms", "hpc-workloads", "cloud-computing", "server-hardware", "aws-services", "instance-types", "x86-architecture" ], "domainSpecificKnowledge" : [ "Generative AI", "AI training", "AI inference", "LLMs", "HPC workloads", "Cloud computing", "Server hardware", "AWS services", "Instance types", "x86 architecture" ], "innovationCreativity" : "Innovative self-starter", "problemSolvingSkills" : "Diagnose and fix issues; Systems debugger", "outcomesObjectives" : "Deliver continuous price performance improvements; Enable high performance and scalability; Deliver improvements for AWS", "qualificationsBasic" : "7+ years designing or architecting systems, 7+ years administrative experience in networking, storage systems, operating systems, Hands-on systems engineering experience, Knowledge of systems engineering fundamentals, Experience programming with at least one modern language", "qualificationsPreferred" : "Experience with PowerShell, Python experience preferred, Ruby experience preferred, Java experience preferred, Experience working in an Agile environment, Scrum methodology experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications: - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Data Services, Inc.. Skills: Generative AI, Machine Learning, Cloud computing, Systems development. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T16:29:12.370", "createdAt" : "2026-06-13T16:29:12.370", "lastUpdated" : "2026-06-15T07:33:43.550", "ingestTimestamp" : "2026-06-13T16:29:12.370", "mongoId" : "69cf3f072beec4dd3d93427b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381624/apply", "salaryAnnualMin" : 129200, "salaryAnnualMax" : 174800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Systems debugging", "Server hardware", "Userland software", "System diagnosis", "Leadership", "Organizational skills", "Planning skills", "Generative AI", "Machine Learning", "Cloud computing", "Systems development", "Systems engineering", "Cloud scale", "Architectural problems", "System designs", "Operations knowledge", "Agile", "Scrum", "AI training", "AI inference", "LLMs", "HPC workloads", "AWS services", "Instance types", "x86 architecture" ], "skillCount" : 25, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a25146374d8ee00a00bb71d", "title" : "Sr. Software Development Engineer, DynamoDB Storage Engine", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:15:05.062", "fingerprint" : "be6c9a101c971fea252f5e6c606dc37e8fa3b994ed744fbb29df3706e4ffb398", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440483/apply", "externalId" : "f574cc8e-df3b-4acf-97ba-2bf028b4a221", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Rust", "professionalSkills" : [ "Systems development", "Architecture design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Distributed systems" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Storage technology, Distributed systems", "majorSkillsList" : [ "Storage technology", "Distributed systems" ], "coreResponsibilities" : "Forge strategy and architecture, Provide foundation for new services, Push boundaries of storage technology, Innovate to remove abstractions, Unlock crucial performance gains, Raise data security bar, Raise data durability bar, Raise data availability bar, Persist customer data on disk, Keep customer data secure, Make customer data available for retrieval", "teamCollaboration" : "Cross-functional teams; Knowledge sharing", "domainKnowledge" : "NoSQL database; Distributed database systems; Storage engine; Cloud-native architecture", "domainList" : [ "nosql-database", "distributed-database-systems", "storage-engine", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "NoSQL database", "Distributed database systems", "Storage engine", "Cloud-native architecture" ], "continuousLearning" : "Learning experiences; Mentorship", "innovationCreativity" : "Innovate to remove abstractions", "problemSolvingSkills" : "Innovative solutions", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development life cycle experience, Deep technical expertise, Prior experience in systems development, Experience in building large-scale distributed systems, Experience in operating large-scale distributed systems, C++ experience preferred, Rust experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come help us shape the future of one of the largest NoSQL database services on the planet! Amazon DynamoDB is one of the largest distributed database systems in the market, that delivers single-digit-millisecond performance at any scale. At DynamoDB, we continue to believe it is Day 1! The DynamoDB Storage Engine team is the custodian of all customer retrievable data stored on disk in DynamoDB and owns services, components and libraries that persist customer data on disk, keep it secure and make it available for timely retrieval. We are looking for senior software development engineers that are passionate about building software and making engineering decisions that have widespread impact across AWS, Amazon, and beyond. Many of the world's fastest growing businesses, such as Lyft, Airbnb, and Redfin, as well as enterprises, such as Samsung, Toyota, and Capital One, depend on the scale and performance of DynamoDB. The ideal candidate would have experience in building and operating large-scale distributed systems. Deep technical expertise and prior experience in systems development using C++ or Rust is preferred. Engineers say DynamoDB is a technically challenging space that requires unique and innovative solutions. As a senior engineer on the team you will be responsible for forging the strategy and architecture that provide the foundation for new services. In this role you will push the boundaries of what storage technology can achieve. You will ceaselessly innovate to remove abstractions to unlock crucial performance gains all while raising the high bar we maintain for data security, durability and availability. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the team The DynamoDB Storage Engine team is the custodian of all customer retrievable data stored on disk in DynamoDB and owns services, components and libraries that persist customer data on disk, keep it secure and make it available for timely retrieval. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, DynamoDB Storage Engine at Amazon.com Services LLC. Skills: Storage technology, Distributed systems. Forge strategy and architecture. Provide foundation for new services", "postedDate" : "2026-06-13T07:14:57.305", "createdAt" : "2026-06-13T07:14:57.305", "lastUpdated" : "2026-06-15T03:15:05.062", "ingestTimestamp" : "2026-06-13T07:14:57.305", "mongoId" : "6a25146374d8ee00a00bb71d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440483/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Mentoring", "Storage technology", "Systems development", "Architecture design", "Reliability", "Scaling", "NoSQL database", "Distributed database systems", "Storage engine", "Cloud-native architecture" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fe2dd44c40e2acd1ecfd9b", "title" : "Sr Systems Development Manager, ADC Analytics and Machine Learning", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 197000.0, "max" : 267800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T06:53:39.730", "fingerprint" : "85178d3a648673fe7bb51b116a79f02709dc8441fb57d824a4411986f2706548", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414967/apply", "externalId" : "5d3ea8f5-2d4f-48bd-a8dc-c6a98544fa2c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Are you passionate about leading a high-impact DevOps team? If so we'd like to give you the opportunity to take a key role in the ADC Analytics and Machine Learning team, join us! We are responsible for Data Analytics and Machine Learning services. Our Amazon Web Services teams innovate new ways of building massively scalable distributed systems. We deliver the next generation of cloud computing with AWS Database offerings. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale; our employees are smart, passionate about the cloud, motivated to serve customers, and fun to work with. Come help us build a state-of-the-art system! A successful candidate will be a hands-on leader with an established background in developing and operating platforms and services, developing and hiring extraordinary talent, strong technical ability, great communication skills, and a motivation to achieve results in a dynamic fast paced environment. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Build a best-in-class engineering team that delivers excellent results - Design and develop state-of-the-art approaches to solving complex and ambiguous problems - Cultivate engineering and operational excellence through metrics and continuous learning - Mentor and grow others to take on increasingly higher responsibilities - Help raise the bar on technical excellence - Show thought leadership - Communicate proficiently and concisely to different audiences About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - Bachelor's degree in Computer Science or a related field - Proficiency in Linux based operating systems - Experience designing, building, and operating large-scale distributed systems or web services - Experience in managing large scale infrastructure and automation - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Experience delivering large-scale infrastructure products that support Tier-1 mission critical services with a focus on privacy, security, availability, and efficiency - 5+ years of managing an engineering team operating at scale experience - Expertise in Linux based operating systems - Experience developing and improving operational documentation, procedures and workflows - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 197,900.00 - 267,800.00 USD annually", "summaryDescription" : "Sr Systems Development Manager, ADC Analytics and Machine Learning at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-14T19:32:15.989", "createdAt" : "2026-06-14T19:32:15.989", "lastUpdated" : "2026-06-16T06:53:39.730", "ingestTimestamp" : "2026-06-14T19:32:15.989", "mongoId" : "69fe2dd44c40e2acd1ecfd9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414967/apply", "salaryAnnualMin" : 197000, "salaryAnnualMax" : 267800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e40bf8b1b0376634c188", "title" : "Systems Engineer, Messaging and Streaming Team", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Systems, Quality, Security Engineering, System Planning/Administration, Cloud Computing", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Engineer in the UK Technology industry, adjusted for the Thames Valley location and a large company size." }, "location" : "Thames Valley, Berkshire, GBR", "locations" : [ "Thames Valley, Berkshire, GBR" ], "timestamp" : "2026-06-15T09:41:42.305", "fingerprint" : "197a840a35292b9fafc27b3c0c143de770b92893896d31d649916deb5fa666ac", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077155/apply", "externalId" : "9e0b7ff7-01cf-4289-8f0e-c0b7eb9f474a", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Berkshire", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Berkshire, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Linux, BASH, Python, Perl, DNS, DHCP, TCP/IP, HTTP", "professionalSkills" : [ "Systems automation", "Network troubleshooting" ], "hardSkillsList" : [ "Linux system administration", "Network fundamentals", "Troubleshooting" ], "softSkillsList" : [ "Customer-obsessed" ], "hardSkills" : [ { "name" : "Linux system administration", "level" : "intermediate" }, { "name" : "Network fundamentals", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" } ], "majorSkills" : "Linux, Networking, Systems automation", "majorSkillsList" : [ "Linux", "Networking", "Systems automation" ], "coreResponsibilities" : "Utilise Linux skills, Troubleshoot issues, Innovate fixes, Keep software up-to-date, Provide data and metrics, Manage capacity and efficiency, Draw on networking knowledge, Identify network connectivity issues, Troubleshoot network connectivity issues, Communicate clearly, Collaborate with others, Deliver results, Work proactively, Solve potential problems, Solve inefficiencies, Communicate clearly, Collaborate with others, Deliver results with supervision, Participate in on-call rotation, Troubleshoot high severity issues, Analyse dashboards, Investigate metrics, Create Standard Operating Procedures, Maintain Standard Operating Procedures, Create runbooks, Maintain runbooks", "teamCollaboration" : "Collaborate with others", "domainKnowledge" : "Cloud computing; Distributed systems; Internet of Things; Platform services; Productivity Apps services; Security solutions; Compute services; Database services; Storage services", "domainList" : [ "cloud-computing", "distributed-systems", "internet-of-things", "platform-services", "productivity-apps-services", "security-solutions", "compute-services", "database-services", "storage-services" ], "domainSpecificKnowledge" : [ "Cloud computing", "Distributed systems", "Internet of Things", "Platform services", "Productivity Apps services", "Security solutions", "Compute services", "Database services", "Storage services" ], "communicationSkills" : "Communicate clearly", "documentationSkills" : "Create Standard Operating Procedures; Maintain Standard Operating Procedures; Create runbooks; Maintain runbooks", "continuousLearning" : "Learning and innovation", "innovationCreativity" : "Innovate fixes; Product innovations", "problemSolvingSkills" : "Troubleshoot; Root cause analysis; Solve potential problems; Solve inefficiencies", "specialRequirements" : "24/7 on-call rotation", "qualificationsBasic" : "Linux system administration, Troubleshooting skills, Systems automation, Network fundamentals", "qualificationsPreferred" : "Linux system administration, Troubleshooting skills, Systems automation, Network fundamentals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. If you join us you’ll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. As a member of the team providing EC2 services you will be delivering foundational capability that benefits all customers! This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. Top reasons to join our team: • Be a catalyst to deliver a truly disruptive products that are growing rapidly • Solve unique and first-order problems at massive-scale across many AWS Services • Learn how to build and operate distributed systems at massive scale • Build and influence the tools and utilities that are part of the AWS fleet running our internal services Key job responsibilities Our Systems Engineering roles help engineers develop a broad range of skills. * Utilise Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. * Draw on networking knowledge to identity and troubleshoot network connectivity issues. * They communicate clearly and collaborate with others to deliver results. * They are self-starters, comfortable dealing with ambiguity and change. * They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. * Work proactively to solve potential problems and inefficiencies. * Communicate clearly and collaborate with others to deliver results with supervision. * Participating in 24/7 on-call rotation to troubleshoot high severity issues * Work within the team in analysing dashboards and investigating metrics with the help of engineers in the team * Create and maintain Standard Operating Procedures (SOPs) and runbooks for documentation A day in the life WHAT DOES A SYSTEMS ENGINEER DO AT AMAZON? Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.” On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes. Our Systems Engineering roles help engineers develop a broad range of skills. They utilise their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. They draw on their networking knowledge to identity and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: Working knowledge of Linux system administration and good troubleshooting skills at all levels, from application to network to host Experience of systems automation using BASH, Python, Perl, etc Experience of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP) Preferred Qualifications: Working knowledge of Linux system administration and good troubleshooting skills at all levels, from application to network to host Experience of systems automation using BASH, Python, Perl, etc Experience of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Engineer, Messaging and Streaming Team at AWS EMEA SARL (UK Branch). Skills: Linux, Networking, Systems automation. Utilise Linux skills. Troubleshoot issues", "postedDate" : "2026-06-13T19:51:48.672", "createdAt" : "2026-06-13T19:51:48.672", "lastUpdated" : "2026-06-15T09:41:42.305", "ingestTimestamp" : "2026-06-13T19:51:48.672", "mongoId" : "68c2e40bf8b1b0376634c188", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077155/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Linux system administration", "Network fundamentals", "Troubleshooting", "Customer-obsessed", "Linux", "Networking", "Systems automation", "Network troubleshooting", "Cloud computing", "Distributed systems", "Internet of Things", "Platform services", "Productivity Apps services", "Security solutions", "Compute services", "Database services", "Storage services" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104402beec4dd3def24ed", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 151200.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:59:15.137", "fingerprint" : "7ef6864e5951f2e4deadd9b1690a6aa405817398b24ec153ded99f69562c5baa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387534/apply", "externalId" : "01814359-83fb-4866-af8b-4e72aedf81e8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, AI, ML, HPC, x86 architecture", "professionalSkills" : [ "Systems design", "System debugging", "Operations knowledge", "Hardware engineering" ], "hardSkillsList" : [ "Server hardware", "Userland software", "System diagnosis" ], "softSkillsList" : [ "Innovative", "Curious", "Builder" ], "hardSkills" : [ { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Userland software", "level" : "intermediate" }, { "name" : "System diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovative" }, { "name" : "Curious" }, { "name" : "Builder" } ], "majorSkills" : "Generative AI, ML Servers, Cloud scale", "majorSkillsList" : [ "Generative AI", "ML Servers", "Cloud scale" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Identify deficiencies, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Drive high quality, Drive reliability, Develop server designs", "teamCollaboration" : "Work with engineers across company; Work with SDEs; Work with SDETs; Work with Hardware Engineers; Work with TPMs; Work with Managers; Work with Principals; Work with EC2; Work with other AWS services", "domainKnowledge" : "Generative AI; AI training; AI inference; LLMs; Cloud scale; HPC workloads; Server hardware; Userland software; AWS services; Instance types; Cloud computing; x86 architecture; Accelerated server solutions", "domainList" : [ "generative-ai", "ai-training", "ai-inference", "llms", "cloud-scale", "hpc-workloads", "server-hardware", "userland-software", "aws-services", "instance-types", "cloud-computing", "x86-architecture", "accelerated-server-solutions" ], "domainSpecificKnowledge" : [ "Generative AI", "AI training", "AI inference", "LLMs", "Cloud scale", "HPC workloads", "Server hardware", "Userland software", "AWS services", "Instance types", "Cloud computing", "x86 architecture", "Accelerated server solutions" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Innovative self-starter", "problemSolvingSkills" : "Diagnose and fix issues; Systems debugger", "outcomesObjectives" : "Deliver continuous price performance improvements; Enable high performance; Enable scalability; Deliver improvements for AWS", "qualificationsBasic" : "Full technical stack knowledge, Systems debugger, Organizational skills, Planning skills, Communication skills, Bachelor's in electrical engineering, Bachelor's in computer engineering, Equivalent experience", "qualificationsPreferred" : "Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience taking a leading role in building complex software or computing infrastructure, Experience developing, deploying and managing AI products at scale", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 5+ years of non-internship professional software development experience - 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of systems development in an IT or data center environment experience - 4+ years of deploying and operating in a Linux/Unix environment experience - 5+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production - Bachelor's degree in electrical engineering, computer engineering, or equivalent Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - Experience developing, deploying and managing AI products at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 173,900.00 - 235,200.00 USD annually USA, TX, Austin - 151,200.00 - 204,600.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon.com Services LLC. Skills: Generative AI, ML Servers, Cloud scale. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T14:22:53.618", "createdAt" : "2026-06-13T14:22:53.618", "lastUpdated" : "2026-06-15T05:59:15.137", "ingestTimestamp" : "2026-06-13T14:22:53.618", "mongoId" : "69e104402beec4dd3def24ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387534/apply", "salaryAnnualMin" : 151200, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Server hardware", "Userland software", "System diagnosis", "Innovative", "Curious", "Builder", "Generative AI", "ML Servers", "Cloud scale", "Systems design", "System debugging", "Operations knowledge", "Hardware engineering", "AI training", "AI inference", "LLMs", "HPC workloads", "AWS services", "Instance types", "Cloud computing", "x86 architecture", "Accelerated server solutions" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c9098a9bc74574cbb0c6d1", "title" : "Sr. Systems Engineer", "company" : "Atlas Technica", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Engineer in the US Technology industry, adjusted for remote work and seniority." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T11:39:13.849", "fingerprint" : "5b6b13b1621a1dd9ffa27a8cf6bddc6b50ff31315c77bcaf7a291a7b3108f515", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://atlas-technica.breezy.hr/p/3715b0c39ede-sr-systems-engineer-east-coast", "externalId" : "3715b0c39ede", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Position Name: Sr. Systems Engineer Reports to: Client Technology Manager Location/Type: USA Remote (East Coast Hours) Atlas Technica", "summaryDescription" : "Sr. Systems Engineer at Atlas Technica", "createdAt" : "2026-06-14T06:10:35.320", "lastUpdated" : "2026-06-15T11:39:13.849", "ingestTimestamp" : "2026-06-14T06:10:35.320", "mongoId" : "69c9098a9bc74574cbb0c6d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307899f292fd229c02bb51", "title" : "Archival Processing Assistant", "company" : "Worcester Polytechnic Institute", "salary" : { "min" : 25.5, "max" : 25.5, "currency" : "USD", "frequency" : "yearly" }, "location" : "Worcester", "locations" : [ "Worcester", "United States of America" ], "timestamp" : "2026-06-16T12:11:59.900", "fingerprint" : "9e6faa2e03350b345d47cd47eba4d8057a40ab3566bd666c462dd465bcabee3f", "source" : "workday", "language" : "en", "applyUrl" : "https://wpi.wd5.myworkdayjobs.com/WPI_External_Career_Site/job/Worcester/Archival-Processing-Assistant_R0003497", "externalId" : "R0003497", "industryFunction" : { }, "locationPoint" : "42.59146,-74.75043", "structuredLocations" : [ { "city" : "Worcester", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2625621,-71.8018877" } ], "locationText" : "Worcester, Massachusetts, United States", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Data entry", "Record keeping" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Record keeping", "level" : "intermediate" } ], "majorSkills" : "Process management, Data analysis", "majorSkillsList" : [ "Process management", "Data analysis" ], "coreResponsibilities" : "Assist with daily operational tasks, Support process improvement initiatives, Maintain operational records, Analyze operational data, Prepare operational reports, Coordinate with internal departments, Manage vendor relationships, Track operational metrics", "teamCollaboration" : "Cross-functional teams; Internal departments", "projectManagementSkills" : [ "Process improvement" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Report preparation", "documentationSkills" : "Record keeping", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve operational efficiency; Ensure data accuracy", "qualificationsBasic" : "Bachelor's degree, 3 years of experience", "qualificationsPreferred" : "Master's degree, Experience with project management software, Experience with data analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**JOB TITLE** Archival Processing Assistant **LOCATION** Worcester **DEPARTMENT NAME** Archives & Special Collections - JM **DIVISION NAME** Worcester Polytechnic Institute - WPI **JOB DESCRIPTION SUMMARY** Reporting to the Head of Archives & Special Collections, the Archives Processing Assistant supports day-to-day operations of the Archives & Special Collections department by assisting with the arrangement, description, preservation, and provision of access to archival materials. This position plays a key role in ensuring the usability and integrity of the WPI's collections. **JOB DESCRIPTION** **Tasks:** * Processes papers, photographs, memorabilia, and other items from collections using comprehensive processing plans that apply knowledge of best practices and archival standards * Apply preservation best practices when handling, housing, and storing archival materials. * Creates and maintains collection guides in ArchivesSpace * Maintains effective workflows and documentation for Archives policies and procedures **Qualifications:** * An ALA-accredited master’s degree in library and information science or archival program * 1 or more years of experience processing archival materials in various formats **Physical Requirements:** * The physical demands of this position include lifting and carrying boxes up to 50 pounds, managing cartloads of material weighing up to 150 pounds, frequent standing, walking, climbing ladders, and bending to retrieve or reshelve collections. * Manual dexterity is required to handle delicate archival materials carefully. * Prolonged periods of examining documents and repetitive data entry tasks are also common. **Technical Requirements:** * Knowledge of archival and library management systems (ex. ArchivesSpace), and proficiency with computer technology (e.g., word processing, spreadsheets, XML). Compensation depends on experience but is up to $25.50. **FLSA STATUS** United States of America (Non-Exempt) **WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.**", "summaryDescription" : "Archival Processing Assistant at Worcester Polytechnic Institute. Skills: Process management, Data analysis. Assist with daily operational tasks. Support process improvement initiatives", "postedDate" : "2026-06-13T03:52:34.348", "createdAt" : "2026-06-16T03:52:34.338", "lastUpdated" : "2026-06-16T12:11:59.900", "ingestTimestamp" : "2026-06-16T03:52:34.338", "mongoId" : "6a307899f292fd229c02bb51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wpi.wd5.myworkdayjobs.com/WPI_External_Career_Site/job/Worcester/Archival-Processing-Assistant_R0003497", "salaryAnnualMin" : 53040, "salaryAnnualMax" : 53040, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data entry", "Record keeping", "Process management", "Data analysis", "Process improvement", "Microsoft Office Suite" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a8f74d8ee00a090c9d1", "title" : "Sr. Engineer, Systems", "company" : "ABACUS", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer, Systems in Edinburgh, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Edinburgh, Scotland, United Kingdom", "locations" : [ "Edinburgh", "Scotland", "United Kingdom", "Remote in UK" ], "certifications" : [ "Red Hat Certified OpenShift Administrator", "Red Hat Certified Specialist in OpenShift Virtualisation" ], "timestamp" : "2026-06-15T03:45:01.239", "fingerprint" : "2ced0bfb0c459d0237d924c557d95615bbb4c01c896f4fac9f4815bc52d54d8f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abacustechnology.com/about/careers/current-vacancies/?gh_jid=7666177003", "externalId" : "7666177003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.9533456,-3.1883749" } ], "locationText" : "Edinburgh, Scotland, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "OpenShift Virtualisation, VMware vSphere, Kubernetes, OpenShift, Linux, Microsoft Azure, Citrix NetScaler, Pure Storage, HPE, Windows Server, CheckMK", "professionalSkills" : [ "Infrastructure Design", "Migration lifecycle", "Storage Management", "Backup & DR", "Operational Excellence", "Root cause analysis" ], "hardSkillsList" : [ "Virtualisation", "Cloud IaaS/PaaS", "Application Delivery", "Desktop Delivery", "Storage configuration", "Backup management", "DR configuration", "Live Migration", "Node maintenance", "HA scheduling", "System monitoring", "Troubleshooting" ], "hardSkills" : [ { "name" : "Virtualisation", "level" : "intermediate" }, { "name" : "Cloud IaaS/PaaS", "level" : "intermediate" }, { "name" : "Application Delivery", "level" : "intermediate" }, { "name" : "Desktop Delivery", "level" : "intermediate" }, { "name" : "Storage configuration", "level" : "intermediate" }, { "name" : "Backup management", "level" : "intermediate" }, { "name" : "DR configuration", "level" : "intermediate" }, { "name" : "Live Migration", "level" : "intermediate" }, { "name" : "Node maintenance", "level" : "intermediate" }, { "name" : "HA scheduling", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "OpenShift Virtualisation, VMware migration, Kubernetes, Linux administration", "majorSkillsList" : [ "OpenShift Virtualisation", "VMware migration", "Kubernetes", "Linux administration" ], "coreResponsibilities" : "Lead organisation’s transformation, Manage day-to-day operation, Optimize and maintain VMs, Assist with infrastructure design, Lead migration lifecycle, Perform pre-migration discovery, Execute Warm Migrations, Configure Portworx storage, Manage backup and DR, Assist DR team, Configure run books, Manage VM Day 2 operations, Optimize and maintain systems, Troubleshoot and resolve issues, Perform root cause analysis, Collaborate with engineers, Share knowledge, Improve processes, Evaluate emerging technologies, Provide after-hours support", "teamCollaboration" : "Work closely with engineers", "domainKnowledge" : "Virtualisation; Enterprise infrastructure; Bare Metal OpenShift; Stateful workloads; OpenShift environments; On-call rotation", "domainList" : [ "virtualisation", "enterprise-infrastructure", "bare-metal-openshift", "stateful-workloads", "openshift-environments", "on-call-rotation" ], "domainSpecificKnowledge" : [ "Virtualisation", "Enterprise infrastructure", "Bare Metal OpenShift", "Stateful workloads", "OpenShift environments", "On-call rotation" ], "toolProficiency" : [ "Migration Toolkit", "Portworx", "Pure Storage", "HPE", "CheckMK" ], "continuousLearning" : "Evaluate emerging technologies", "problemSolvingSkills" : "Root cause analysis; Troubleshoot and resolve issues", "specialRequirements" : "On-call schedule, Work Weekends, UK business hours", "qualificationsBasic" : "7-10 Years Systems Engineering, 2-4 Years Kubernetes or OpenShift, 1-3 Years Linux administration", "qualificationsPreferred" : "MSP environment preferred", "workSiteFlexibility" : "Flexible", "rawDescription" : "Overview As a Senior Systems Engineer, you will lead the organisation’s transformation from a VMware-based environment to Red Hat OpenShift Virtualisation. This role is responsible for the full migration lifecycle, as well as the day‑to‑day operation, optimisation, and maintenance of Virtual Machines (VMs) running on OpenShift. You will serve as a senior technical resource, providing deep expertise in virtualisation, Linux, Kubernetes/OpenShift, and enterprise infrastructure. Job Description Duties and Responsibilities: Infrastructure Design: Assist with the design of Bare Metal OpenShift clusters optimised for virtualisation, ensuring high performance for compute-heavy VM workloads. Modernisation & Migration: Lead the end-to-end migration lifecycle from VMware vSphere to OpenShift. This includes leveraging the Migration Toolkit for Virtualisation (MTV), performing pre-migration discovery, and executing \"Warm Migrations\" to minimise downtime for critical business stateful workloads. Storage Management: Experience configuring Portworx as the storage provider on top of Pure Storage. Backup & DR: Experience with managing backup and DR within Red Hat OpenShift environments. Assisting the DR team in configuring run books for Client DR Testing. Operational Excellence: Manage VM-specific \"Day 2\" operations, including Live Migration, node maintenance/draining, and high-availability (HA) scheduling. Optimize & Maintain: Proactively monitor our systems with CheckMK, manage storage on Pure Storage and HPE. Troubleshoot & Resolve: Act as a final escalation point for complex technical issues, performing deep-dive root cause analysis and collaborating with support teams to ensure timely resolution. Collaborate & Innovate: Work closely with a team of skilled engineers to share knowledge, improve processes, and evaluate emerging technologies. Provide Critical Support: Participate in a rotating on-call schedule to provide after-hours support for critical infrastructure. Flexibility: Ability to work Weekends for project roll outs, Maintenance tasks etc. Person Specification Qualifications and Experience Experience In the field of: Required/Preferred 7-10 Years Systems Engineering Required 2-4 Years Working directly with Kubernetes or OpenShift (MSP environment preferred) Required 1-3 Years Strong Linux administration skills Required Licenses and Certifications Professional Association Required/Preferred Red Hat Certified OpenShift Administrator Required Red Hat Certified Specialist in OpenShift Virtualisation Required Knowledge, Skills, and Abilities Virtualisation: Red Hat OpenShift, VMware ESXi/vCenter, Proxmox VE Cloud: Microsoft Azure (IaaS/PaaS) Application & Desktop Delivery: Citrix Virtual Apps and Desktops, Citrix NetScaler (ADC) Storage: Pure Storage, HPE Operating Systems: Windows Server, Linux Monitoring: CheckMK or similar enterprise monitoring tools Availability to work UK business hours with occasional evenings/weekends as part of the on-call rotation. Attributes that will drive success: Demonstrated ability to analyze root causes and implement long-term solutions. Ability to perform under pressure, manage competing priorities, and meet tight deadlines. Self‑starter with strong ownership, able to work independently while collaborating when needed Benefits of Working for Abacus: Generous annual leave entitlement plus bank holidays (pro-rata if part-time working hours apply) Gym discount Life insurance Comprehensive travel insurance for you and your family in line with scheme rules Confidential well-being and counselling support Competitive Compensation Contributory pension scheme Company events Private Medical and Dental Insurance", "summaryDescription" : "Sr. Engineer, Systems at ABACUS. Skills: OpenShift Virtualisation, VMware migration, Kubernetes, Linux administration. Lead organisation’s transformation. Manage day-to-day operation", "postedDate" : "2026-06-13T21:27:25.278", "createdAt" : "2026-06-13T21:27:25.278", "lastUpdated" : "2026-06-15T03:45:01.239", "ingestTimestamp" : "2026-06-13T21:27:25.278", "mongoId" : "6a2c6a8f74d8ee00a090c9d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Virtualisation", "Cloud IaaS/PaaS", "Application Delivery", "Desktop Delivery", "Storage configuration", "Backup management", "DR configuration", "Live Migration", "Node maintenance", "HA scheduling", "System monitoring", "Troubleshooting", "OpenShift Virtualisation", "VMware migration", "Kubernetes", "Linux administration", "Infrastructure Design", "Migration lifecycle", "Storage Management", "Backup & DR", "Operational Excellence", "Root cause analysis", "Enterprise infrastructure", "Bare Metal OpenShift", "Stateful workloads", "OpenShift environments", "On-call rotation", "Red Hat Certified OpenShift Administrator", "Red Hat Certified Specialist in OpenShift Virtualisation", "Migration Toolkit", "Portworx", "Pure Storage", "HPE", "CheckMK" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564bf292fd229cf26f24", "title" : "Software Development Engineer, Content and Channel Tech Team", "company" : "Amazon Connect Technology Services", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Software Development Engineer in Beijing, China, adjusted for the technology industry and a large company size." }, "location" : "Beijing, CHN", "locations" : [ "Beijing, CHN" ], "timestamp" : "2026-06-16T09:23:36.432", "fingerprint" : "59127885fc2109b6a2e805f2545a1759059ddafcb82b217e6f37e353fe669ac0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448529/apply", "externalId" : "4c052465-c631-4179-8ee7-684014428e54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "AI, Cloud infrastructure, MCP", "professionalSkills" : [ "System design", "Technical leadership" ], "hardSkillsList" : [ "Software development", "AI-native services", "Content intelligence", "Customer communication", "Event management" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "AI-native services", "level" : "intermediate" }, { "name" : "Content intelligence", "level" : "intermediate" }, { "name" : "Customer communication", "level" : "intermediate" }, { "name" : "Event management", "level" : "intermediate" } ], "majorSkills" : "AI, Cloud infrastructure, Marketing technology", "majorSkillsList" : [ "AI", "Cloud infrastructure", "Marketing technology" ], "coreResponsibilities" : "Design AI-native marketing technology services, Build AI-native marketing technology services, Operate AI-native marketing technology services, Own full-stack services, Architect MCP servers, Deliver MCP servers, Expose domain capabilities, Translate business intent, Maintain operational excellence, Design software, Implement software, Test software, Operate software", "teamCollaboration" : "Marketing stakeholders; Cross-function team; Local business team; Local operation partner team; Global team", "projectManagementSkills" : [ "Agile environment" ], "domainKnowledge" : "Marketing operations; AWS China market; Large-scale distributed systems", "domainList" : [ "marketing-operations", "aws-china-market", "large-scale-distributed-systems" ], "domainSpecificKnowledge" : [ "Marketing operations", "AWS China market", "Large-scale distributed systems" ], "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Drive customer engagement metrics; Achieve business goals", "qualificationsBasic" : "2+ years design or architecture experience, 3+ years professional software development experience, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. AWS Content & Channel Technology (CCT) powers the digital marketing infrastructure for AWS in China, enabling marketing teams to reach customers through intelligent content creation, multi-channel distribution, and automated campaign orchestration. Our team builds and operates the technology backbone that connects AWS services with Chinese customers — from chatbots and event platforms to identity verification and notification systems. We combine deep domain expertise with agentic AI to turn complex marketing operations into scalable, self-improving systems. Join us and help shape how AWS engages customers in one of the world's most dynamic markets. To support AWS China's rapidly evolving marketing technology needs, we are looking for talented software development engineers who thrive at the intersection of AI, cloud infrastructure, and business operations. If you are excited about building autonomous agents that replace manual toil, designing MCP-powered tools that marketing teams use daily, and shipping production services that directly drive customer engagement metrics, we'd love to talk. Key job responsibilities We are looking for software engineers who are passionate about designing, building, and operating AI-native marketing technology services for the AWS China market. You will own full-stack services spanning content intelligence (AI-powered content generation and distribution), customer communication platforms (email, SMS, chatbot), event management systems. You will architect and deliver MCP servers that expose domain capabilities as composable tools for AI agents, enabling both internal teams and autonomous workflows to operate at scale. You are expected to be a technical leader who partners closely with marketing stakeholders to translate business intent into production-quality systems, while maintaining operational excellence across 6+ production services with gold-badge CI/CD pipelines. Your work will have direct, measurable impact on customer acquisition, engagement, and retention for AWS China. A day in the life As a member of our engineering team, you will be responsible for the complete software development cycle, including design, implementation, testing, and operations in an agile environment. We are always drive building up the system for AWS China business from scratch, which there is a wide platform for engineers to demonstrate your technical skill to help directly to business and with the visibility from leadership of AWS China and AWS China operation partner. We encourage team member work closely with each other and contribute on the fast pace delivery. In this role, a commitment to teamwork, customer focus, and strong communication skills (for both technical and business partners) are absolute requirements. We're building reliable, scalable, and high-performance services, so we expect you to have exceptional technical expertise, a sound understanding of Computer Science fundamentals, and are eager to work with large-scale distributed systems. In this role you will work with cross-function team including local business and function team, local operation partner team and several global team which provide support to us to achieve the goal. Welcome to join Amazon Web Services. Let’s work hard, have fun and make history. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of non-internship professional software development experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Content and Channel Tech Team at Amazon Connect Technology Services. Skills: AI, Cloud infrastructure, Marketing technology. Design AI-native marketing technology services. Build AI-native marketing technology services", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:57:12.704", "lastUpdated" : "2026-06-16T09:23:36.432", "ingestTimestamp" : "2026-06-15T21:57:12.704", "mongoId" : "6a30564bf292fd229cf26f24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448529/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "AI-native services", "Content intelligence", "Customer communication", "Event management", "AI", "Cloud infrastructure", "Marketing technology", "System design", "Technical leadership", "Agile environment", "Marketing operations", "AWS China market", "Large-scale distributed systems" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753bf292fd229c00d52a", "title" : "Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), Accelerator Servers", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T12:21:05.590", "fingerprint" : "42c59e100b925b52bbb56fac5a3eb5b598fb671515ff7793c9cd9d1fb594da68", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449438/apply", "externalId" : "eeebe1c4-57aa-434b-bae3-43ebf1c8861b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "PCIe, DDR, CXL, High-speed digital design, Server power delivery, Thermal solutions, Schematic capture, PCB layout, Python, Perl, Hardware debugging, Oscilloscopes, Logic analyzers, Generative AI, Machine Learning, Hardware accelerators, Firmware development, JTAG", "professionalSkills" : [ "System design", "Hardware validation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Server hardware development", "High-speed digital design", "Hardware bring-up", "Hardware validation", "Schematic capture", "PCB layout", "Scripting", "Hardware debugging" ], "hardSkills" : [ { "name" : "Server hardware development", "level" : "intermediate" }, { "name" : "High-speed digital design", "level" : "intermediate" }, { "name" : "Hardware bring-up", "level" : "intermediate" }, { "name" : "Hardware validation", "level" : "intermediate" }, { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" } ], "majorSkills" : "Server hardware development, Generative AI hardware, ML hardware", "majorSkillsList" : [ "Server hardware development", "Generative AI hardware", "ML hardware" ], "coreResponsibilities" : "Design server hardware, Develop server hardware, Validate server hardware, Bring-up server hardware, Debug server hardware issues, Collaborate with cross-functional teams, Define hardware requirements, Develop test plans, Execute test plans, Analyze test results, Document hardware designs, Document test results, Support manufacturing", "teamCollaboration" : "Cross-functional teams; Hardware and software teams", "domainKnowledge" : "Generative AI; Machine Learning; Server architecture; High-speed interfaces", "domainList" : [ "generative-ai", "machine-learning", "server-architecture", "high-speed-interfaces" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Server architecture", "High-speed interfaces" ], "toolProficiency" : [ "Python", "Perl", "Git", "JTAG" ], "documentationSkills" : "Hardware design documentation; Test result documentation", "problemSolvingSkills" : "Hardware debugging; Root cause analysis", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Computer Engineering, or related field, 5+ years of experience in server hardware development, Experience with PCIe, DDR, and CXL interfaces, Experience with high-speed digital design, Experience with server power delivery and thermal solutions, Experience with hardware bring-up and validation, Experience with schematic capture and PCB layout tools, Experience with scripting languages (e.g., Python, Perl), Experience with hardware debugging tools (e.g., oscilloscopes, logic analyzers)", "qualificationsPreferred" : "Master's degree or PhD in a related field, Experience with Generative AI and ML hardware accelerators, Experience with AWS EC2 instance types, Experience with hardware security features, Experience with firmware development, Experience with JTAG and other debug interfaces, Experience with version control systems (e.g., Git)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities As a member of the Hardware Engineering Services team in this specific function, you will own and lead the design, development and root cause of a new segment of accelerated servers. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. A day in the life Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development ontop of your server design. You will be responsible for learning operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best Accelerated Server fleet possible to our customers. Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - Experience in English-language communication skills, both written and verbal - Experience with design & innovation and research & development - Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - 5+ years of professional work (non-internship) experience Preferred Qualifications: - 5+ years of hardware design and validation of components, subsystems and systems experience - Experience in server technologies: board design, high-speed bus design and signal integrity, failure analysis, server components (CPU, GPU, SSDs, memory), BIOS, BMC, and networking - Experience developing and executing test procedures for mechanical or electrical systems/components - Experience working with ODMs/manufacturer through the product development and manufacturing lifecycle - Experience building predictive failure detection or proactive remediation systems at fleet scale - Experience with storage/compute/GPU/accelerator platforms including integration, diagnostics, or performance validation - Familiarity with PCIe topology, NVLink, NVMe, and accelerator interconnects - Experience with large-scale datacenter or cloud environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), Accelerator Servers at Amazon.com Services LLC. Skills: Server hardware development, Generative AI hardware, ML hardware. Design server hardware. Develop server hardware", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:02.953", "lastUpdated" : "2026-06-16T12:21:05.590", "ingestTimestamp" : "2026-06-16T01:54:02.953", "mongoId" : "6a30753bf292fd229c00d52a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449438/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Server hardware development", "High-speed digital design", "Hardware bring-up", "Hardware validation", "Schematic capture", "PCB layout", "Scripting", "Hardware debugging", "Generative AI hardware", "ML hardware", "System design", "Cross-functional collaboration", "Generative AI", "Machine Learning", "Server architecture", "High-speed interfaces", "Python", "Perl", "Git", "JTAG" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f082beec4dd3d934289", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 900000.0, "max" : 2.352E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T00:53:51.493", "fingerprint" : "a2d378d2744a79049aaa25ee951472a6d2a771fbb891f040cb8854f6124abd2f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381615/apply", "externalId" : "3efb4f72-bac1-4d25-9b56-f1ecbc9bf534", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, AI, ML, HPC, Generative AI", "professionalSkills" : [ "Systems design", "Architecture design", "Engineering best practices", "Operational excellence" ], "hardSkillsList" : [ "Server hardware", "Userland software", "System debugging", "Testability", "Reliability", "Diagnosis" ], "softSkillsList" : [ "Leadership", "Innovation", "Curiosity", "Mentoring" ], "hardSkills" : [ { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Userland software", "level" : "intermediate" }, { "name" : "System debugging", "level" : "intermediate" }, { "name" : "Testability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Innovation" }, { "name" : "Curiosity" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, ML Servers, Cloud Scale, System Design", "majorSkillsList" : [ "Generative AI", "ML Servers", "Cloud Scale", "System Design" ], "coreResponsibilities" : "Lead projects, Design technology solutions, Decompose problems, Own systems, Fix risks, Reduce complexity, Develop technical strategy, Influence team strategy, Resolve endemic problems, Influence software decisions, Lead reviews, Improve processes, Deliver solutions, Partner with experts, Communicate technical designs, Produce artifacts, Hire others, Develop others, Coach others, Mentor others, Provide technical assessments, Bring perspective, Guide technology choices, Identify strategic opportunities, Solve tactical problems, Invest in opportunities", "teamCollaboration" : "Work with engineers; Partner with manager; Work with job roles; Work with groups", "domainKnowledge" : "Generative AI; AI/ML; HPC workloads; Cloud computing; Server hardware; Software development life cycle", "domainList" : [ "generative-ai", "ai-ml", "hpc-workloads", "cloud-computing", "server-hardware", "software-development-life-cycle" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML", "HPC workloads", "Cloud computing", "Server hardware", "Software development life cycle" ], "communicationSkills" : "Technical designs; Technical documentation", "documentationSkills" : "Documentation; Runbooks", "innovationCreativity" : "Innovative self-starter; Design thinking", "problemSolvingSkills" : "Problem diagnosis; Root cause analysis; Troubleshooting", "outcomesObjectives" : "Deliver improvements; Improve price performance; Enable high performance; Enable scalability", "qualificationsBasic" : "Full technical stack knowledge, Systems debugger, Organizational skills, Planning skills, Communication skills, Builder mindset", "qualificationsPreferred" : "Knowledge of engineering practices, Experience leading complex software, Experience using managed ML/AI solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities Be a technical leader for your team, setting the standards for engineering best practices and operational excellence. Lead projects that require the work of multiple engineers, combining new and existing hardware, software, systems, processes, and tooling appropriate to the task. Design technology solutions and architectures that solve complex business or technical problems related to server system testability, reliability, and diagnosis. Decompose difficult problems into straightforward tasks, components, or features that can be delivered in parallel by you and others. Own your team’s systems, proactively identifying and fixing extant risks, limitations, and deficiencies. Work to reduce complexity and enable greater agility for your team and partner teams. Partner with your manager and other team leaders to develop your team’s technical strategy. Be a key influencer in team strategy and goals, including influencing Technical Program Managers and Product Managers. Resolve the contributing causes of endemic problems, including architectural deficiencies and areas where your team limits the innovation of other teams. This may require influencing software and systems decisions made by other teams. Lead reviews of architecture, design, operations, process, or post-incident analysis for your team, and actively participate in those of other teams. Your process improvements enable teams in your organization to deliver more resilient products with less effort. Deliver solutions using the most appropriate combination of hardware, software, systems design, architecture, process, or operations. When the most appropriate solution requires expertise you lack, own the problem but partner with experts in other job families. Effectively communicate technical designs and decisions in writing. Produce exemplary artifacts including code, designs, documentation, and runbooks that are straightforward for others to adopt, maintain, and extend. Actively hire and develop others, coaching and mentoring throughout your organization. When eligible, provide support with technical assessments for promotions, ensuring these processes are unbiased and inclusive. Bring perspective and provide context for current technology choices and guide future technology choices for your team. Identify strategic opportunities that solve tactical problems and determine when to invest in one over the other for greatest impact. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future and new designs for AWS Accelerated server solutions for AWS Cloud. Your thinking is long-term and strategic while your delivery remains frequent and incremental. You stay involved in operational planning, ensuring your organization invests appropriately in resiliency, agility, automation, and sustainable operations. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 5+ years of non-internship professional software development experience - 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of systems development in an IT or data center environment experience - 4+ years of deploying and operating in a Linux/Unix environment experience - 5+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - Experience using managed ML/AI solutions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 173,900.00 - 235,200.00 USD annually USA, TX, Austin - 151,200.00 - 204,600.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon.com Services LLC. Skills: Generative AI, ML Servers, Cloud Scale, System Design. Lead projects. Design technology solutions", "postedDate" : "2026-06-13T10:14:32.493", "createdAt" : "2026-06-13T10:14:32.493", "lastUpdated" : "2026-06-15T00:53:51.493", "ingestTimestamp" : "2026-06-13T10:14:32.493", "mongoId" : "69cf3f082beec4dd3d934289", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381615/apply", "salaryAnnualMin" : 900000, "salaryAnnualMax" : 23520000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Server hardware", "Userland software", "System debugging", "Testability", "Reliability", "Diagnosis", "Leadership", "Innovation", "Curiosity", "Mentoring", "Generative AI", "ML Servers", "Cloud Scale", "System Design", "Systems design", "Architecture design", "Engineering best practices", "Operational excellence", "AI/ML", "HPC workloads", "Cloud computing", "Software development life cycle" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2c7ec174d8ee00a09537f3", "title" : "Senior Compiler Engineer - Systems Team", "company" : "Riverlane", "industry" : "Climate Tech", "salary" : { "min" : 68000.0, "max" : 100000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "UK", "locations" : [ "UK" ], "timestamp" : "2026-06-15T22:14:11.933", "fingerprint" : "713624a55ade54a950fb9f5fc55e36892b2be3444407a7ecf553431fd3d79ba9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/riverlane/jobs/4895039101", "externalId" : "4895039101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Rust", "professionalSkills" : [ "Technical specifications", "Continuous improvement" ], "softSkillsList" : [ "Curious nature", "Passion for learning" ], "softSkills" : [ { "name" : "Curious nature" }, { "name" : "Passion for learning" } ], "majorSkills" : "Compiler Engineering, Systems Engineering", "majorSkillsList" : [ "Compiler Engineering", "Systems Engineering" ], "coreResponsibilities" : "Master quantum error correction, Develop compiler technologies, Contribute to compiler development, Write high-quality code, Document and share work, Collaborate with team members", "teamCollaboration" : "Part of a team", "domainKnowledge" : "Quantum error correction; Quantum computers", "domainList" : [ "quantum-error-correction", "quantum-computers" ], "domainSpecificKnowledge" : [ "Quantum error correction", "Quantum computers" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document work", "continuousLearning" : "Passion for learning; Continuous improvement; Learning events; Training budgets; Conference budgets", "innovationCreativity" : "Cutting-edge R&D", "qualificationsBasic" : "Proficiency in C++ or Rust, Convert product requirements into technical specifications, Document and share work, Ability to work independently, Ability to work collaboratively", "qualificationsPreferred" : "Experience working on scientific instrumentation, PhD in a relevant subject, Good knowledge of quantum mechanics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Senior Compiler Engineer – Systems Team Cambridge, UK | Full-time | Permanent | Hybrid Salary: £68,000 to £100,000, DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R proficiency in C++ or Rust Ability to convert product requirements into technical specifications to document and share your work A curious nature and a passion for learning and continuous improvement Excellent communication skills, with the ability to work both independently and collaboratively as part of a team Even better if Experience of working on scientific instrumentation PhD in a relevant subject Good knowledge of quantum mechanics What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme Equity, so that our team can share in the long-term success of Riverlane 28 days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact jobs@riverlane.com. Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.", "summaryDescription" : "Senior Compiler Engineer - Systems Team at Riverlane. Skills: Compiler Engineering, Systems Engineering. Master quantum error correction. Develop compiler technologies", "postedDate" : "2026-06-14T19:11:03.703", "createdAt" : "2026-06-14T19:11:03.703", "lastUpdated" : "2026-06-15T22:14:11.933", "ingestTimestamp" : "2026-06-14T19:11:03.703", "mongoId" : "6a2c7ec174d8ee00a09537f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Curious nature", "Passion for learning", "Compiler Engineering", "Systems Engineering", "Technical specifications", "Continuous improvement", "Quantum error correction", "Quantum computers" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25145374d8ee00a00bb316", "title" : "Sr. Network Development Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Software Development, Network Development, alexa and amazon devices", "salary" : { "min" : 159100.0, "max" : 215300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "certifications" : [ "CCNA", "CCNP", "AWS Certified Advanced Networking" ], "timestamp" : "2026-06-15T22:49:11.273", "fingerprint" : "8c62039d4a0abb9f7d68effe0f044daa5bc378d59b0e12ca554e1d003d10059e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441299/apply", "externalId" : "43395ca2-f2b5-4a09-9805-78ed71e713aa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Networking, TCP/IP, BGP, OSPF, MPLS, VLANs, Firewalls, VPNs, Network security, Python, Ansible, Cloud networking, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Troubleshooting", "Problem-solving" ], "hardSkillsList" : [ "Network architecture", "Network configuration", "Network monitoring", "Network security implementation" ], "hardSkills" : [ { "name" : "Network architecture", "level" : "intermediate" }, { "name" : "Network configuration", "level" : "intermediate" }, { "name" : "Network monitoring", "level" : "intermediate" }, { "name" : "Network security implementation", "level" : "intermediate" } ], "majorSkills" : "Network engineering, Network protocols, Network security", "majorSkillsList" : [ "Network engineering", "Network protocols", "Network security" ], "coreResponsibilities" : "Design and implement network solutions, Configure and maintain network devices, Monitor network performance, Troubleshoot network issues, Implement network security measures, Collaborate with cross-functional teams, Develop and maintain network documentation, Stay up-to-date with network technologies", "teamCollaboration" : "Cross-functional teams; IT operations; Software development teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Manufacturing networks; Industrial control systems", "domainList" : [ "manufacturing-networks", "industrial-control-systems" ], "domainSpecificKnowledge" : [ "Manufacturing networks", "Industrial control systems" ], "toolProficiency" : [ "Wireshark", "SolarWinds", "Nagios", "Ansible", "Terraform" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Network diagrams; Configuration guides", "continuousLearning" : "Professional development; Training opportunities", "problemSolvingSkills" : "Root cause analysis; Network diagnostics", "outcomesObjectives" : "Ensure network availability; Improve network performance; Enhance network security", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in network engineering, Experience with network hardware, Experience with network protocols, Experience with network security principles", "qualificationsPreferred" : "Master's degree in a related field, Experience with cloud networking, Experience with automation tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.. As a Network Development Engineer at Amazon Leo, you will lead the implementation, maintenance, and optimization of mission-critical enterprise networks supporting our manufacturing facilities, research labs, launch sites, and mission operations centers worldwide. You will ensure high availability, performance, and security of network infrastructure across multiple global locations. Key job responsibilities Deployment and ongoing maintenance of complex network solutions in manufacturing and lab environments Ensure robust network operations supporting launch and mission activities Troubleshoot and resolve complex routing, interconnectivity, and performance issues Implement and manage change control processes for network modifications Develop and maintain operational procedures and technical documentation Lead capacity planning and performance optimization initiatives Enhance and manage monitoring and alerting systems for proactive issue detection Mentor junior engineers on operational best practices and troubleshooting techniques Drive automation initiatives to streamline repetitive tasks and improve efficiency Participate in 24/7 on-call rotation for critical infrastructure support Collaborate with cross-functional teams to ensure network reliability for mission-critical operations A day in the life Your day begins reviewing network monitoring alerts across manufacturing facilities and mission operations centers. You'll analyze traffic patterns and capacity needs for the factory floor while planning network expansion for new lab spaces. You will participate in the deployment of network solutions for upcoming launch sites, contract manufacturing partners, and testing facilities. You will coordinate with vendors on WAN circuit installations, troubleshoot routing issues affecting production systems, and mentor team members on complex network deployments. You'll participate in change management meetings, schedule maintenance windows, and document network modifications. Throughout the day, you'll handle escalations from manufacturing teams, validate network security controls, and ensure high availability across all sites. The role requires balancing immediate operational needs with strategic planning and improvement of processes and procedures in order to maintain network reliability for mission-critical operations. This is an on-site role that requires employees to work from the company's office 5 days per week. Remote work is not an option for this position. The role will include up to 25% of business travel. Basic Qualifications: - 5+ years of automation scripting using Python, Bash, Shell and/or Perl experience - 5+ years of major internet routing protocols experience - 5+ years of working in a Linux/Unix environment experience Preferred Qualifications: - Experience with AWS and AWS networking products such as Direct Connect and Transit Gateway Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 175,000.00 - 236,800.00 USD annually USA, VA, Arlington - 159,100.00 - 215,300.00 USD annually USA, WA, BELLEVUE - 159,100.00 - 215,300.00 USD annually", "summaryDescription" : "Sr. Network Development Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Network engineering, Network protocols, Network security. Design and implement network solutions. Configure and maintain network devices", "postedDate" : "2026-06-14T19:39:11.029", "createdAt" : "2026-06-14T19:39:11.029", "lastUpdated" : "2026-06-15T22:49:11.273", "ingestTimestamp" : "2026-06-14T19:39:11.029", "mongoId" : "6a25145374d8ee00a00bb316", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441299/apply", "salaryAnnualMin" : 159100, "salaryAnnualMax" : 215300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Network architecture", "Network configuration", "Network monitoring", "Network security implementation", "Network engineering", "Network protocols", "Network security", "System design", "Troubleshooting", "Problem-solving", "Agile methodologies", "Manufacturing networks", "Industrial control systems", "CCNA", "CCNP", "AWS Certified Advanced Networking", "Wireshark", "SolarWinds", "Nagios", "Ansible", "Terraform" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a8874d8ee00a0945c52", "title" : "Sr Information Systems Engineer", "company" : "Cribl", "industry" : "Technology", "salary" : { "min" : 99000.0, "max" : 156000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US - California", "locations" : [ "US - California" ], "timestamp" : "2026-06-15T13:31:20.455", "fingerprint" : "83a46cca3df03e716e8eac6d9f37014be20d914018da20b4d917b9df0d72cf72", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://cribl.io/job-detail/?gh_jid=6020491004", "externalId" : "6020491004", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, IAM, VPCs, EC2, ECS, Networking, Tagging, Governance, ServiceNow, ITSM, SSO, REST APIs, JSON, Python, PowerShell, Bash, Azure, RBAC", "professionalSkills" : [ "Systems administration", "Project management", "Operational management", "Automation development", "Security hardening", "Access control", "Lifecycle management", "Baseline configuration", "Software distribution", "Patch management", "Workflow configuration", "Change management", "Incident management", "Reporting" ], "hardSkillsList" : [ "Cloud infrastructure", "Endpoint security", "Identity management", "SaaS integration", "Automation scripting", "API integration" ], "hardSkills" : [ { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Endpoint security", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "SaaS integration", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "majorSkills" : "AWS Administration, Identity Management, Endpoint Management, Automation", "majorSkillsList" : [ "AWS Administration", "Identity Management", "Endpoint Management", "Automation" ], "coreResponsibilities" : "Own core IT systems, Manage identity and access, Manage endpoints, Manage cloud infrastructure, Automate IT processes, Design IT services, Run IT services, Build joiner automations, Build mover automations, Build leaver automations, Harden endpoint baselines, Govern AI tools, Participate in on-call, Contribute to IT metrics, Contribute to fleet reporting, Create knowledge base content", "teamCollaboration" : "Partner with Security; Partner with Enterprise Applications; Partner with People teams; Serve as senior peer; Serve as escalation point", "domainKnowledge" : "Cloud-first environment; Enterprise ITSM; Enterprise identity provider; macOS endpoint management; Windows endpoint management; AI tools; Agent frameworks; Cloud-native architecture", "domainList" : [ "cloud-first-environment", "enterprise-itsm", "enterprise-identity-provider", "macos-endpoint-management", "windows-endpoint-management", "ai-tools", "agent-frameworks", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Cloud-first environment", "Enterprise ITSM", "Enterprise identity provider", "macOS endpoint management", "Windows endpoint management", "AI tools", "Agent frameworks", "Cloud-native architecture" ], "toolProficiency" : [ "Okta", "AWS", "ServiceNow", "Jamf", "Intune", "Kolide", "Google Workspace", "Slack", "Zoom", "Atlassian", "Glean", "Serval", "Zapier" ], "documentationSkills" : "Knowledge base content", "specialRequirements" : "Occasional duties outside standard hours, On-call rotation", "outcomesObjectives" : "Ensure reliability; Ensure security; Enhance employee experience; Maintain operational status", "qualificationsBasic" : "5+ years corporate IT, AWS administration experience, ServiceNow administration experience, Enterprise identity provider experience, Endpoint management ownership, Scripting and automation experience, Remote-first operator experience", "qualificationsPreferred" : "Jamf experience, Intune experience, Device posture tooling experience, Core SaaS tools experience, Automation design experience, AI tools evaluation experience, Azure working knowledge, Other cloud providers knowledge, Scaling distributed organization experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next. We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. Why You’ll Love This Role We are seeking a talented and experienced Sr Information Systems Engineer to join Cribl's IT Engineering team. In this role, you will be the technical owner of the core systems that power how Cribl operates every day — from identity and access to endpoints, cloud infrastructure, and the automations that tie it all together. This is a high-impact, high-ownership role on a team that treats reliability, security, and employee experience as equally important outcomes. You'll partner closely with Security, Enterprise Applications, and People teams to design and run the services Cribl depends on at scale: Okta, AWS, ServiceNow, MDM, and a growing stack of SaaS integrations and AI-powered workflows. Whether you're building joiner/mover/leaver automations, hardening endpoint baselines, or governing the next generation of MCP-connected AI tools, your work will be foundational to how a fast-moving, remote-first company stays secure and operational. This role reports to IT Engineering leadership and will serve as a senior peer and escalation point across the IT participate in the IT on-call rotation; and contribute to IT metrics, fleet reporting, and knowledge base content. We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours (if on call is not required) If You’ve Got It - We Want It Corporate IT Systems Experience: 5+ years in corporate IT roles with significant responsibility for systems administration across identity, SaaS, and/or infrastructure in a cloud-first environment, with a proven track record balancing project work and operational/on-call responsibilities. AWS Administration (Required): Hands-on, production experience with AWS (IAM, VPCs, EC2/ECS or similar, basic networking, tagging/governance) supporting internal IT or SaaS platforms. ServiceNow Administration: Hands-on administration of ServiceNow or a similar enterprise ITSM platform, including workflow configuration, catalog items, change/incident processes, and basic reporting. Enterprise Identity Provider Experience: Direct, production experience with at least one enterprise identity provider — Okta strongly preferred; Azure AD/Entra ID or similar acceptable — including SSO, lifecycle management, and access policies. Endpoint Management Ownership: Demonstrated ownership of macOS and/or Windows endpoint management in a mid-to-large fleet, including baseline configs, software distribution, and patch management. Scripting & Automation: Experience with at least one scripting language (Python, PowerShell, Bash, or similar) and comfort working with REST APIs and JSON. Remote-First Operator: Comfortable working autonomously in a fast-moving, distributed environment — you manage your own priorities, communicate proactively, and know when to escalate. Preferred Qualifications: Experience with Jamf (macOS), Intune (Windows/mobile), and/or device posture tooling such as Kolide or similar. Experience managing core SaaS tools such as Google Workspace, Slack, Zoom, Atlassian, or Glean. Background designing or maintaining automations with tools like Serval, Zapier, or equivalent orchestration platforms. Experience evaluating, configuring, and governing AI tools and agents (e.g., Claude, Gemini, Glean) and MCP-based agent frameworks in an enterprise environment. Working knowledge of Azure (subscriptions, RBAC, group-based access) and/or other major cloud providers alongside AWS. Prior experience supporting a rapidly scaling, distributed engineering organization. #LI-KJ1 #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity. Base Salary Range $99,000—$156,000 USD Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.", "summaryDescription" : "Sr Information Systems Engineer at Cribl. Skills: AWS Administration, Identity Management, Endpoint Management, Automation. Own core IT systems. Manage identity and access", "postedDate" : "2026-06-14T08:54:31.557", "createdAt" : "2026-06-14T08:54:31.557", "lastUpdated" : "2026-06-15T13:31:20.455", "ingestTimestamp" : "2026-06-14T08:54:31.557", "mongoId" : "6a2c7a8874d8ee00a0945c52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99000, "salaryAnnualMax" : 156000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Cloud infrastructure", "Endpoint security", "Identity management", "SaaS integration", "Automation scripting", "API integration", "AWS Administration", "Identity Management", "Endpoint Management", "Automation", "Systems administration", "Project management", "Operational management", "Automation development", "Security hardening", "Access control", "Lifecycle management", "Baseline configuration", "Software distribution", "Patch management", "Workflow configuration", "Change management", "Incident management", "Reporting", "Cloud-first environment", "Enterprise ITSM", "Enterprise identity provider", "macOS endpoint management", "Windows endpoint management", "AI tools", "Agent frameworks", "Cloud-native architecture", "Okta", "AWS", "ServiceNow", "Jamf", "Intune", "Kolide", "Google Workspace", "Slack", "Zoom", "Atlassian", "Glean", "Serval", "Zapier" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fbc2", "title" : "Systems Development Engineer", "company" : "ADCI HYD 13 SEZ", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, amazon business", "salary" : { "min" : 1250000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Development Engineer in Hyderabad, India, adjusted for the E-Commerce industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:38:31.102", "fingerprint" : "d274bbf38290acfeb2c851568c05a2b37cb83d3619f00111bb2f469694ece007", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053323/apply", "externalId" : "0535e872-6d46-48e4-9982-0c54cdff8840", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, C, C++, Java, Ruby, PowerShell", "professionalSkills" : [ "System design", "Infrastructure solutions" ], "majorSkills" : "Generative AI, Software infrastructure, Automation", "majorSkillsList" : [ "Generative AI", "Software infrastructure", "Automation" ], "coreResponsibilities" : "Support solutions, Sustain solutions, Evolve solutions, Build software infrastructure, Evolve software infrastructure, Lead smaller projects, Contribute to initiatives, Design infrastructure solutions, Implement infrastructure solutions, Develop applications, Create automated processes, Leverage Generative AI", "teamCollaboration" : "As part of a team", "domainKnowledge" : "Generative AI", "domainList" : [ "generative-ai" ], "domainSpecificKnowledge" : [ "Generative AI" ], "innovationCreativity" : "Driving innovation; Discovering new ways", "problemSolvingSkills" : "Solving technical challenges; Solving operational challenges", "qualificationsBasic" : "Automating infrastructure, Deploying infrastructure, Supporting infrastructure, Automating development processes, Simplifying development processes, Automating test processes, Simplifying test processes, Automating operations processes, Simplifying operations processes, Coding in at least one language, Scripting in at least one language, Automating in at least one language", "qualificationsPreferred" : "CI/CD pipelines build processes, Designing systems, Architecting systems, Distributed computing, Distributed programs, Distributed systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to use Generative AI to improve how we develop and support business problems and software solutions? Are you passionate about driving innovation and discovering new ways to optimize systems? Do you thrive on solving technical and operational challenges? Join us on Amazon Business! We are seeking talented Systems Development Engineers to help support, sustain, and evolve our solutions for business customers using GenAI! Amazon Business (business.amazon.com) aims to improve how buying and selling happens between businesses and suppliers. We provide business customers everything they love about Amazon, for work. We are focused on building a unique shopping experience for business users and business sellers with access to hundreds of millions of products worldwide, business-only selection, business and quantity pricing, bulk buying experience, and much more. We've grown a lot in the 10+ years since our launch and become one of the most promising opportunities within Amazon. Go ahead and read about us on any of your favorite media outlets! We are looking for Systems Development Engineers who will be instrumental in building and evolving our software infrastructure across a diverse ecosystem of technologies and applications. In this role, you'll lead smaller projects independently while contributing to larger, strategic initiatives as part of a team. As a Systems Development Engineer, you'll design and implement robust infrastructure solutions, develop applications, and create automated processes that scale. We're particularly focused on leveraging Generative AI to accelerate development velocity, enhance code quality, and transform how we approach problem-solving through intelligent automation and AI-assisted collaboration. Basic Qualifications: - Experience in automating, deploying, and supporting infrastructure - Experience with automating and simplifying team development, test, and operations processes - Experience coding, scripting, automating in at least one language (e.g., Python, C, C++, Java, Ruby, or PowerShell) Preferred Qualifications: - Experience with CI/CD pipelines build processes - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience with distributed computing, programs and systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Development Engineer at ADCI HYD 13 SEZ. Skills: Generative AI, Software infrastructure, Automation. Support solutions. Sustain solutions", "postedDate" : "2026-06-13T20:08:18.749", "createdAt" : "2026-06-13T20:08:18.749", "lastUpdated" : "2026-06-15T07:38:31.102", "ingestTimestamp" : "2026-06-13T20:08:18.749", "mongoId" : "68b706987fc9a711f0f6fbc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053323/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Generative AI", "Software infrastructure", "Automation", "System design", "Infrastructure solutions" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb309", "title" : "Sr. Systems Engineer", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Retail", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:31:56.021", "fingerprint" : "7e290857f02f07f6a032e88348c87e5c3ca59bd625be915a369913d2a6bdcdb1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441315/apply", "externalId" : "9f5f2dd4-1fed-412b-852f-609c249a76c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "System design, Distributed system architecture", "professionalSkills" : [ "Systems engineering", "Technical lead", "Technical program management", "Trade studies", "Requirements analysis", "Verification reports", "System life cycle", "Regulatory compliance" ], "hardSkillsList" : [ "Systems engineering", "Test strategy development", "Test plan development", "Regulatory analysis" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Test strategy development", "level" : "intermediate" }, { "name" : "Test plan development", "level" : "intermediate" }, { "name" : "Regulatory analysis", "level" : "intermediate" } ], "majorSkills" : "Systems engineering, Autonomous systems, Cloud architecture", "majorSkillsList" : [ "Systems engineering", "Autonomous systems", "Cloud architecture" ], "coreResponsibilities" : "Define safety critical autonomous ground system features, Design safety critical autonomous ground system features, Verify safety critical autonomous ground system features, Launch safety critical autonomous ground system features, Serve as systems engineering lead for subsystem(s), Serve as subject matter expert for subsystem(s), Lead interdisciplinary trade studies, Determine critical requirements for scalable cloud based system, Generate CONOPs, Generate design documents, Generate interface control documents, Generate requirements, Generate test cases, Generate test procedure, Generate test execution, Generate verification reports, Own the entire system life cycle, Take features from concept to production, Review airspace regulations, Review industry standards, Collaborate with cross-functional teams, Define site-specific requirements, Expand automated traffic management system, Validate system adherence to regulatory requirements, Validate system adherence to safety requirements, Write verification plan", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Airspace Mission Orchestration System; Safety critical systems; Cloud based systems; Operator interface; Traffic management; Route planning; Geospatial systems; Distributed systems; Airspace regulations; Automated traffic management; ARP4754A; DO-178C; DO-278A; DO-254; Geospatial engineering; Weather Science; Flight Decks", "domainList" : [ "airspace-mission-orchestration-system", "safety-critical-systems", "cloud-based-systems", "operator-interface", "traffic-management", "route-planning", "geospatial-systems", "distributed-systems", "airspace-regulations", "automated-traffic-management", "arp4754a", "do-178c", "do-278a", "do-254", "geospatial-engineering", "weather-science", "flight-decks" ], "domainSpecificKnowledge" : [ "Airspace Mission Orchestration System", "Safety critical systems", "Cloud based systems", "Operator interface", "Traffic management", "Route planning", "Geospatial systems", "Distributed systems", "Airspace regulations", "Automated traffic management", "ARP4754A", "DO-178C", "DO-278A", "DO-254", "Geospatial engineering", "Weather Science", "Flight Decks" ], "documentationSkills" : "Interface control documents; Verification reports", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Analytical capabilities; Solve hard problems", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field, Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems, Experience developing test strategies and plans for complex hardware/software systems or systems of systems", "qualificationsPreferred" : "5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related, Experience in Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management, Experience in cloud based software development, system design, and/or distributed system architecture, Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve massive-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our engineering teams. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history! Key job responsibilities As a Senior Systems Engineer you will define, design, verify, and launch safety critical autonomous ground system features in a variety of airspace environments. Key responsibilities include: - Serve as the systems engineering lead and subject matter expert for subsystem(s) within the Airspace Mission Orchestration System, containing the safety critical cloud based operator interface, traffic management, communications, route planning, geospatial, and distributed system functions. - Lead interdisciplinary trade studies across Prime Air software, system, product, and regulatory functions to determine the critical requirements for a scalable cloud based system architecture. - Generate key systems engineering artifacts CONOPs, design documents, interface control documents, requirements, test cases, test procedure, test execution, and verification reports. - Own the entire system life cycle, taking features from concept to production in a way that is safe, performant, and certifiable. A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations and industry standards. They then collaborate with cross-functional teams to define site-specific requirements for expanding the automated traffic management system to multiple locations within different jurisdictions. This is followed by a deep dive into the compliance matrix, validating the system's adherence to internal and external regulatory and safety requirements. The day concludes with writing a verification plan to ensure critical system requirements are adequately tested. Leveraging technical expertise, analytical skills, and collaboration, the engineer drives the successful integration and deployment of the automated traffic management solution. About the team The systems engineering team is a driven, focused, and experience team of aerospace professionals. Our systems engineering team is driven by a relentless customer obsession, we tackle the toughest technical challenges, turning visions into reality. Our mission is to design, integrate, and verify innovative ground systems that push the boundaries of what's possible. We are a collaborative group of problem-solvers, each bringing unique expertise from aerospace and technology sectors. Our culture is one of ownership and accountability - we take pride in our work and hold ourselves to the highest standards. Basic Qualifications: - Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field - Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems - Experience developing test strategies and plans for complex hardware/software systems or systems of systems Preferred Qualifications: - 5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related. - Experience in one or more of the following: Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system architecture. - Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Systems Engineer at Amazon.com Services LLC. Skills: Systems engineering, Autonomous systems, Cloud architecture. Define safety critical autonomous ground system features. Design safety critical autonomous ground system features", "postedDate" : "2026-06-13T15:29:40.590", "createdAt" : "2026-06-13T15:29:40.590", "lastUpdated" : "2026-06-15T05:31:56.021", "ingestTimestamp" : "2026-06-13T15:29:40.590", "mongoId" : "6a25145374d8ee00a00bb309", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441315/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Systems engineering", "Test strategy development", "Test plan development", "Regulatory analysis", "Autonomous systems", "Cloud architecture", "Technical lead", "Technical program management", "Trade studies", "Requirements analysis", "Verification reports", "System life cycle", "Regulatory compliance", "Airspace Mission Orchestration System", "Safety critical systems", "Cloud based systems", "Operator interface", "Traffic management", "Route planning", "Geospatial systems", "Distributed systems", "Airspace regulations", "Automated traffic management", "ARP4754A", "DO-178C", "DO-278A", "DO-254", "Geospatial engineering", "Weather Science", "Flight Decks" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "68c2e423f8b1b0376634c576", "title" : "Systems Development Engineer", "company" : "Amazon Enterprise Engineering", "industry" : "Operations, IT, Support Engineering, System Development Engineering, no business category", "salary" : { "min" : 1.5E7, "max" : 2.2E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Systems Development Engineer in San Jose, Costa Rica, adjusted for the technology industry and company size." }, "location" : "San Jose, San Jose, CRI", "locations" : [ "San Jose, San Jose, CRI" ], "timestamp" : "2026-06-15T08:28:00.161", "fingerprint" : "c3b6e654d4a83002edd5e5da17be332f896d628eb0aac52e34e858f890aa8aca", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078072/apply", "externalId" : "64778b44-ea02-4e26-8c62-ed05c4c249a8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "San Jose", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9327707,-84.0796144" } ], "locationText" : "San Jose, San Jose, Costa Rica", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Ruby, Golang, Java, C++, C#, Rust, DynamoDB, Lambda, Secrets Manager, API Gateway", "professionalSkills" : [ "Systems development", "Infrastructure solutions" ], "hardSkillsList" : [ "Systems engineering", "Scripting", "Application development", "Infrastructure as code" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Application development", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "majorSkills" : "Systems development, Infrastructure support, Automation", "majorSkillsList" : [ "Systems development", "Infrastructure support", "Automation" ], "coreResponsibilities" : "Implement infrastructure components, Maintain infrastructure components, Support Amazonians, Write code, Create tools, Maintain services, Enhance services", "domainKnowledge" : "Server-less systems; Cloud computing", "domainList" : [ "server-less-systems", "cloud-computing" ], "domainSpecificKnowledge" : [ "Server-less systems", "Cloud computing" ], "specialRequirements" : "After hours paging", "qualificationsBasic" : "Automating infrastructure experience, Deploying infrastructure experience, Supporting infrastructure experience, Programming experience, Linux/Unix experience", "qualificationsPreferred" : "CI/CD pipelines experience, Build processes experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for an entry-level Systems Development Engineer with a foundation in designing and supporting infrastructure solutions. You will be responsible for implementing and maintaining smaller or stand-alone components that support Amazonians. Who are you? You have a basic understanding of computing solutions and are eager to learn more. You're starting your journey in systems development or equivalent technical role, and are excited to implement automated solutions across applications and systems. You enjoy writing code and creating tools to solve problems. You're passionate about learning and growing. You understand that different people have different needs to be productive, and are learning how to develop solutions that help others. You have enthusiasm for learning about cloud computing systems and supporting a diverse set of customers. You're beginning your journey as an Amazonian. The focus for this role is maintaining and enhancing components of extensible services used across Amazon. These systems leverage server-less systems such as DynamoDB, Lambda, Secrets Manager, API Gateway, among others. Systems Development Engineers: Systems Development Engineers at Amazon is a unique role which organically emerged as the company evolved. Inspiration for the Systems Development Engineer came from Systems Engineers who \"built\" unique technology to solve business and customer problems. Systems Development Engineers perform traditional Systems Engineering and writes or develops scripts, applications, or mechanisms to manage infrastructure. This role was created for the \"builder\" population of Systems Engineers who go beyond using basic tools and GUIs to implement infrastructure as code and even server-less systems. Enterprise Engineering: Enterprise Engineering owns the key products, services, and tools Amazonians use to securely and reliably access corporate resources, communicate with one another, and collaborate with customers. Enterprise Engineering builds services ranging from network access to customer-facing software to meet the needs of our number one customer: Amazon. All Amazonians and variable staff rely on our products at all Amazon Corporate, Customer Service, Fulfillment, Retail, and affiliate sites across the globe. Amazon is a unique organization, and this is an entry-level position with great growth potential. We'll give you the opportunity to learn and make a difference to our business. We're looking for a promising professional ready to develop outstanding technical skills, with the opportunity to realize Amazon's motto: \"Work Hard. Have Fun. Make History.\" This role requires scheduled after hours paging for high-severity events related to all of the team's services and systems. Paging availability is required for after-hours weekday, weekend and holiday coverage. The pager rotates throughout the team to balance the load. Basic Qualifications: - Experience in automating, deploying, and supporting infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix Preferred Qualifications: - Experience with CI/CD pipelines build processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Development Engineer at Amazon Enterprise Engineering. Skills: Systems development, Infrastructure support, Automation. Implement infrastructure components. Maintain infrastructure components", "postedDate" : "2026-06-13T15:11:49.622", "createdAt" : "2026-06-13T15:11:49.622", "lastUpdated" : "2026-06-15T08:28:00.161", "ingestTimestamp" : "2026-06-13T15:11:49.622", "mongoId" : "68c2e423f8b1b0376634c576", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078072/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Systems engineering", "Scripting", "Application development", "Infrastructure as code", "Systems development", "Infrastructure support", "Automation", "Infrastructure solutions", "Server-less systems", "Cloud computing" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c9098a9bc74574cbb0c6ce", "title" : "Sr. Systems Engineer", "company" : "Atlas Technica", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Engineer in Los Angeles, adjusted for the technology industry and company size." }, "location" : "Los Angeles, CA", "locations" : [ "Los Angeles", "CA" ], "timestamp" : "2026-06-15T07:17:11.043", "fingerprint" : "9252dd7b10a7518ca731b91a9903f23d6c48f3b6150a96583c61c7c847cd52b3", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://atlas-technica.breezy.hr/p/ef0a9993a780-sr-systems-engineer", "externalId" : "ef0a9993a780", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Position Name: Sr. Systems Engineer Reports to: Client Technology Manager Location/Type: LA, CA Atlas Technica", "summaryDescription" : "Sr. Systems Engineer at Atlas Technica", "createdAt" : "2026-06-13T22:58:16.552", "lastUpdated" : "2026-06-15T07:17:11.043", "ingestTimestamp" : "2026-06-13T22:58:16.552", "mongoId" : "69c9098a9bc74574cbb0c6ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308253f292fd229c06d1a9", "title" : "Systems Engineer", "company" : "TSC", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Systems Engineer in Bloomington, United States, adjusted for the technology industry and full-time employment." }, "location" : "Bloomington, IN", "locations" : [ "Bloomington, IN", "United States of America" ], "timestamp" : "2026-06-16T11:47:27.161", "fingerprint" : "69880f2fa4c082d4c83def975096c0109be21df8d380a6ff1a093659b91ec4af", "source" : "workday", "language" : "en", "applyUrl" : "https://tsc.wd12.myworkdayjobs.com/TSC-Careers/job/Bloomington-IN/Mid-Senior-level-Systems-Engineer_JR2635", "externalId" : "JR2635", "industryFunction" : { }, "locationPoint" : "44.8408,-93.29828", "structuredLocations" : [ { "city" : "Bloomington", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1670396,-86.5342881" } ], "locationText" : "Bloomington, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Mid-Senior", "remoteFriendly" : false, "rawDescription" : "TSC is seeking an **Systems Engineer** in**Bloomington, IN**. TSC offers a professional working environment, a competitive salary, and an excellent benefits package. Come and join our team! **Responsibilities:** This position requires a flexible individual with experience in **Systems Engineering Design**. * Work with other engineers to document the design of each project. * Will support a project by creating trade studies, test strategy reports, diagrams, spreadsheets, and drawings as needed. * Develop necessary schematics, programming guides, and other required documentation. * Track project progress and design during lifecycle. **Required Qualifications:** * Bachelor’s degree in Engineering with 3-10 years of experience * U.S. Citizen and the ability to obtain and maintain a DoD Secret Clearance * Strong communication skills, both written and oral * Ability to multi-task and support multiple priorities * Excellent teamwork and interpersonal skills * Detail oriented and excellent organizational skills * Self-Driven * Able to work independently or in a team environment **Preferred Qualifications:** * Understanding of electrical circuits and wiring * Software: NI LabVIEW, C, C++ * Engineering management * Manage complex systems over their life cycles * Experienced with MS Project, MS Visio, and MS Excel * Systems Engineering * 2+ years of applied engineering experience **TSC Benefits:** TSC offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more. **Applying to TSC:** Only those candidates invited for an interview will be contacted. Employment at TSC is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening. This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.", "summaryDescription" : "Systems Engineer at TSC", "postedDate" : "2026-06-16T04:04:38.925", "createdAt" : "2026-06-16T04:04:38.909", "lastUpdated" : "2026-06-16T11:47:27.161", "ingestTimestamp" : "2026-06-16T04:04:38.909", "mongoId" : "6a308253f292fd229c06d1a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://tsc.wd12.myworkdayjobs.com/TSC-Careers/job/Bloomington-IN/Mid-Senior-level-Systems-Engineer_JR2635", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e41bf8b1b0376634c3fd", "title" : "Systems Development Engineer", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 89200.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, USA", "locations" : [ "Mountain View, California, USA" ], "timestamp" : "2026-06-15T06:29:29.652", "fingerprint" : "f1e3856e7ceb810cc2c5dbaddcf6e4450a14713a43183fa0a91b3e1dd636351d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073573/apply", "externalId" : "fc547ecd-e58c-42e1-9306-88dc7074c90a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C++, C#, Java, Python, Golang, PowerShell, Ruby, SIP, RTP", "professionalSkills" : [ "Systems engineering", "Telecom engineering" ], "hardSkillsList" : [ "Voice routing", "SIP trunking", "Fraud prevention", "Real-time communication" ], "hardSkills" : [ { "name" : "Voice routing", "level" : "intermediate" }, { "name" : "SIP trunking", "level" : "intermediate" }, { "name" : "Fraud prevention", "level" : "intermediate" }, { "name" : "Real-time communication", "level" : "intermediate" } ], "majorSkills" : "Telecom engineering, Systems development, Voice routing", "majorSkillsList" : [ "Telecom engineering", "Systems development", "Voice routing" ], "coreResponsibilities" : "Develop systems for voice routing, Maintain systems for voice routing, Develop systems for SIP trunking, Maintain systems for SIP trunking, Develop systems for carrier integrations, Maintain systems for carrier integrations, Develop systems for telecom fraud prevention, Maintain systems for telecom fraud prevention, Design solutions, Code solutions, Build tooling for engineers, Build documentation for engineers, Identify issues in real-time systems, Resolve issues in real-time systems", "teamCollaboration" : "Global carrier partners; Internal teams", "domainKnowledge" : "Telecommunications; VoIP; Real-time communication; SIP; RTP; Carrier protocols; Networking concepts; Distributed systems; Operational practices", "domainList" : [ "telecommunications", "voip", "real-time-communication", "sip", "rtp", "carrier-protocols", "networking-concepts", "distributed-systems", "operational-practices" ], "domainSpecificKnowledge" : [ "Telecommunications", "VoIP", "Real-time communication", "SIP", "RTP", "Carrier protocols", "Networking concepts", "Distributed systems", "Operational practices" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Programming with modern language, Experience with distributed operational health, Bachelor's degree in CS/CE/SE/EE", "qualificationsPreferred" : "Experience with telecommunications, Experience with VoIP, Experience with real-time communication systems, Knowledge of networking concepts, Knowledge of distributed systems, Knowledge of operational practices, Understanding of system monitoring, Understanding of alerting, Understanding of troubleshooting methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Want to disrupt an industry by delighting customers? Looking for a job where your work can have direct and massive impact? Excited to join one of the newest and most exciting AWS services? Come be a leader on a team that is building a product that will touch millions of people daily. Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. Join Amazon Connect's Telecom team as a Systems Development Engineer, where you'll help build and maintain the telecommunications infrastructure that powers millions of customer service interactions daily across 158 countries. You'll work on systems that handle voice routing through 40+ carriers, fraud detection, and telecom tooling that enables seamless communication experiences for Amazon Connect customers worldwide. Key job responsibilities • Develop and maintain systems for voice routing, SIP trunking, carrier integrations, and telecom fraud prevention across global regions. • Design and code the right solutions starting with broadly defined problems. • Build tooling and documentation that makes it easier for engineers to deploy, test, and operate telecom services across multiple AWS regions • Identify and resolve issues in real-time communication systems serving millions of voice minutes daily, working with global carrier partners and internal teams Basic Qualifications: - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Experience with distributed operational health and performance monitoring systems - Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline Preferred Qualifications: - Experience with telecommunications, VoIP, or real-time communication systems (SIP, RTP, carrier protocols) - Knowledge of networking concepts, distributed systems, and operational practices - Understanding of system monitoring, alerting, and troubleshooting methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Engineer at Amazon Development Center U.S., Inc.. Skills: Telecom engineering, Systems development, Voice routing. Develop systems for voice routing. Maintain systems for voice routing", "postedDate" : "2026-06-13T16:26:35.600", "createdAt" : "2026-06-13T16:26:35.600", "lastUpdated" : "2026-06-15T06:29:29.652", "ingestTimestamp" : "2026-06-13T16:26:35.600", "mongoId" : "68c2e41bf8b1b0376634c3fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073573/apply", "salaryAnnualMin" : 89200, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Voice routing", "SIP trunking", "Fraud prevention", "Real-time communication", "Telecom engineering", "Systems development", "Systems engineering", "Telecommunications", "VoIP", "SIP", "RTP", "Carrier protocols", "Networking concepts", "Distributed systems", "Operational practices" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693c2b8670f0b99d5843fb10", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Web Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:37:17.004", "fingerprint" : "213d30b5c9dd8a9b38f31dcd6d672d4d7aaa9d1156532b348753e9696d8f139d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139886/apply", "externalId" : "899fc1ea-f02d-4c43-b92a-2236685744dc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Generative AI, ML, HPC, x86 architecture, Python, Java, Bash, Perl", "professionalSkills" : [ "Systems design", "Cloud scale", "Architectural problems" ], "hardSkillsList" : [ "Server hardware", "Software", "System designs", "Diagnosis", "Operations knowledge" ], "softSkillsList" : [ "Innovative", "Curious", "Leader" ], "hardSkills" : [ { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Software", "level" : "intermediate" }, { "name" : "System designs", "level" : "intermediate" }, { "name" : "Diagnosis", "level" : "intermediate" }, { "name" : "Operations knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovative" }, { "name" : "Curious" }, { "name" : "Leader" } ], "majorSkills" : "Generative AI, ML Servers, Cloud computing, Hardware Engineering", "majorSkillsList" : [ "Generative AI", "ML Servers", "Cloud computing", "Hardware Engineering" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Own team systems, Identify deficiencies proactively, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Work with SDEs, Work with SDETs, Work with Hardware Engineers, Work with TPMs, Work with Managers, Work with Principals, Drive quality into designs, Drive reliability into designs, Develop next-generation AWS platforms, Implement work", "teamCollaboration" : "Cross-functional teams; Global development teams; Internal teams; External teams", "projectManagementSkills" : [ "Planning" ], "domainKnowledge" : "Generative AI; AI/ML workloads; HPC workloads; Cloud computing; Server hardware; AWS services; Instance types; Baremetal server hardware; Userland software; x86 architecture", "domainList" : [ "generative-ai", "ai-ml-workloads", "hpc-workloads", "cloud-computing", "server-hardware", "aws-services", "instance-types", "baremetal-server-hardware", "userland-software", "x86-architecture" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML workloads", "HPC workloads", "Cloud computing", "Server hardware", "AWS services", "Instance types", "Baremetal server hardware", "Userland software", "x86 architecture" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Learn; Curious", "innovationCreativity" : "Innovative; Innovate", "problemSolvingSkills" : "Problem solving; Debugging; Diagnosis", "outcomesObjectives" : "Deliver improvements for AWS; See direct product improvements", "qualificationsBasic" : "Full technical stack knowledge, Systems debugger, Organizational skills, Planning skills, Communication skills, Builder", "qualificationsPreferred" : "1+ years development/programming/scripting language experience, Knowledge of engineering practices and patterns, Experience taking a leading role", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 4+ years of non-internship professional software development experience - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of systems development in an IT or data center environment experience - 4+ years of deploying and operating in a Linux/Unix environment experience - 2+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred Qualifications: - 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Web Services, Inc.. Skills: Generative AI, ML Servers, Cloud computing, Hardware Engineering. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T02:58:34.506", "createdAt" : "2026-06-13T02:58:34.506", "lastUpdated" : "2026-06-15T01:37:17.004", "ingestTimestamp" : "2026-06-13T02:58:34.506", "mongoId" : "693c2b8670f0b99d5843fb10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139886/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Server hardware", "Software", "System designs", "Diagnosis", "Operations knowledge", "Innovative", "Curious", "Leader", "Generative AI", "ML Servers", "Cloud computing", "Hardware Engineering", "Systems design", "Cloud scale", "Architectural problems", "Planning", "AI/ML workloads", "HPC workloads", "AWS services", "Instance types", "Baremetal server hardware", "Userland software", "x86 architecture" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176e374d8ee00a0c1b3ac", "title" : "Sr. RF and Wireless Systems Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 159200.0, "max" : 215300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T00:57:54.373", "fingerprint" : "4d6f1719b5867575e4cb9f5764d0fcfddaa357e78834c164fdb8fb23c40a061f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437575/apply", "externalId" : "ca8ed181-bedd-40e5-8039-279124fa08f9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "RF, Wireless, DSP, MATLAB, ADS, Python, C/C++, ASIC, RFIC, Phased array, Ansys HFSS, Keysight ADS", "professionalSkills" : [ "System-level RF performance", "RF architecture definition", "RF line-up design", "RF specifications", "Yield optimization", "Statistical analysis", "Product requirements", "System performance targets", "RF front-end impairments" ], "hardSkillsList" : [ "RF impairment estimation", "Compensation techniques", "DSP algorithm development", "Fixed point DSP", "RF impairment modeling", "System performance simulations", "Silicon bring-up", "Lab validation", "Statistical analysis", "Yield optimization" ], "hardSkills" : [ { "name" : "RF impairment estimation", "level" : "intermediate" }, { "name" : "Compensation techniques", "level" : "intermediate" }, { "name" : "DSP algorithm development", "level" : "intermediate" }, { "name" : "Fixed point DSP", "level" : "intermediate" }, { "name" : "RF impairment modeling", "level" : "intermediate" }, { "name" : "System performance simulations", "level" : "intermediate" }, { "name" : "Silicon bring-up", "level" : "intermediate" }, { "name" : "Lab validation", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Yield optimization", "level" : "intermediate" } ], "majorSkills" : "RF Systems Engineering, Wireless Systems, DSP Algorithms, ASIC Design", "majorSkillsList" : [ "RF Systems Engineering", "Wireless Systems", "DSP Algorithms", "ASIC Design" ], "coreResponsibilities" : "Own end-to-end RF architecture and line-up design, Define RF specifications, key performance requirements, Simulate and characterize RF impairments impact, Review RFIC designs for compliance, Research and implement calibration and correction algorithms, Involve in lab validation plans, Identify and resolve RF performance bottlenecks, Balance power, cost, and throughput trade-offs, Support ASIC production data reviews, Drive yield improvements, Serve as the RF systems point of contact", "teamCollaboration" : "Cross-functional collaboration; Silicon design teams; Firmware engineers; Software engineers; Test teams", "domainKnowledge" : "RF architectures; Low power RFIC; Phased array systems; Wireless SOCs; mmWave RFIC designs; Digital/Wireless Communication Systems", "domainList" : [ "rf-architectures", "low-power-rfic", "phased-array-systems", "wireless-socs", "mmwave-rfic-designs", "digital-wireless-communication-systems" ], "domainSpecificKnowledge" : [ "RF architectures", "Low power RFIC", "Phased array systems", "Wireless SOCs", "mmWave RFIC designs", "Digital/Wireless Communication Systems" ], "toolProficiency" : [ "MATLAB", "ADS", "Ansys HFSS", "Keysight ADS" ], "innovationCreativity" : "Conceive and design innovative product solutions", "problemSolvingSkills" : "Identify and resolve RF performance bottlenecks; Statistical analysis; Yield optimization", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee or granted asylum", "qualificationsBasic" : "Master's degree or Ph. D. degree in Electrical Engineering or related field, 7+ years of relevant experience in wireless DSP/RF systems engineering, In depth knowledge of RF architectures and design for low power consumption RFIC and ASIC, Solid understanding of RF blocks and components, Experience in RF impairment estimation and compensation techniques, Working knowledge of FW implementation of various DSP algorithms for RF impairment compensation, Experience in using lab equipment, bring-up and validation of chip, Experience with MATLAB, Python and/or C/C++ for fixed point DSP algorithm development, RF impairment modeling and simulation", "qualificationsPreferred" : "MSEE/PhD with emphasis on RF systems, mmWave RFIC designs, background in RFIC design process, Digital/Wireless Communication Systems and engineering, Experience in designing low power/area digital signal processing blocks for Wireless RF SOCs, Excellent understanding of RF architectures and blocks used in the Wireless SOCs, MATLAB, Python, C++ experience with emphasis on fixed point modeling of DSP blocks, RF impairment modeling, RF calibration algorithm development, system performance simulations, Familiarity with phased array systems and phased array performance optimization techniques, Experience in silicon bring-up in the lab and using lab equipment, Proficiency in Ansys HFSS and Keysight ADS simulation tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role: As a Sr. RF and Wireless Systems Engineer in the Digital RF Systems team, you will be responsible for RF architecture definition, RF line-up design, and RF specifications of custom ASICs used in Leo phased array systems. You will work closely with RFIC and DSP designers during the design phase, participating in RFIC design reviews to ensure optimal system-level RF performance. You will use MATLAB, ADS and other simulation tools to model RF impairments of the chips and analyze complex phased array system and sub-system interactions. In post-silicon, you will be involved in prototyping, defining RF DVT lab test requirements to validate designs. You will support production teams through statistical analysis and yield optimization in cross-functional collaboration with manufacturing engineers. You will develop novel techniques to estimate and correct RF impairments such as IQ imbalance, LOFT implemented in hardware and firmware. Based on system-level constraints such as low power and cost, you will develop optimized solutions to support high throughput for our customers. You will engage with an experienced cross-disciplinary staff to conceive and design innovative product solutions, working closely with internal teams including ASIC/RFIC designers, firmware/software engineers, and design verification engineers. You will drive key aspects of wireless product design identifying ASIC level specifications from the product requirements. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Own end-to-end RF architecture and line-up design for the Leo RFICs and phased array communication systems used in the satellites and customer terminals - Define RF specifications, key performance requirements for custom ASIC development - Simulate and characterize RF impairments impact on the system - Review RFIC designs for compliance with system performance targets - Research and implement calibration and correction algorithms for RF front-end impairments - Involve in lab validation plans for post-silicon RF characterization - Identify and resolve RF performance bottlenecks through measurements and analysis - Balance power, cost, and throughput trade-offs to meet product requirements - Support ASIC production data reviews to drive yield improvements with manufacturing engineering - Serve as the RF systems point of contact across silicon design, firmware, software, and test teams Basic Qualifications: - Master's degree or Ph.D. degree in Electrical Engineering or related field - 7+ years of relevant experience in wireless DSP/RF systems engineering (LTE, 5G-NR, WiFi 802.11, BLE) - In depth knowledge of RF architectures and design for low power consumption RFIC and ASIC - Solid understanding of RF blocks and components, RF simulation tools - Experience in RF impairment estimation and compensation techniques - Working knowledge of FW implementation of various DSP algorithms for RF impairment compensation - Experience in using lab equipment, bring-up and validation of chip - Experience with MATLAB, Python and/or C/C++ for fixed point DSP algorithm development, RF impairment modeling and simulation - MSEE/PhD is highly preferred with emphasis on RF systems, mmWave RFIC designs Preferred Qualifications: - Strong background in RFIC design process - Digital/Wireless Communication Systems and engineering - Experience in designing low power/area digital signal processing blocks for Wireless RF SOCs - Excellent understanding of RF architectures and blocks used in the Wireless SOCs - MATLAB, Python, C++ experience with emphasis on fixed point modeling of DSP blocks, RF impairment modeling, RF calibration algorithm development, system performance simulations (EVM, ACLR, OOB emissions) - Familiarity with phased array systems and phased array performance optimization techniques - Experience in silicon bring-up in the lab and using lab equipment such as vector spectrum analyzer, signal generators, high speed scopes and logic analyzers - Proficiency in Ansys HFSS and Keysight ADS simulation tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Diego - 159,200.00 - 215,300.00 USD annually USA, WA, Redmond - 159,200.00 - 215,300.00 USD annually", "summaryDescription" : "Sr. RF and Wireless Systems Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: RF Systems Engineering, Wireless Systems, DSP Algorithms, ASIC Design. Own end-to-end RF architecture and line-up design. Define RF specifications, key performance requirements", "postedDate" : "2026-06-13T09:41:42.674", "createdAt" : "2026-06-13T09:41:42.674", "lastUpdated" : "2026-06-15T00:57:54.373", "ingestTimestamp" : "2026-06-13T09:41:42.674", "mongoId" : "6a2176e374d8ee00a0c1b3ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437575/apply", "salaryAnnualMin" : 159200, "salaryAnnualMax" : 215300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "RF impairment estimation", "Compensation techniques", "DSP algorithm development", "Fixed point DSP", "RF impairment modeling", "System performance simulations", "Silicon bring-up", "Lab validation", "Statistical analysis", "Yield optimization", "RF Systems Engineering", "Wireless Systems", "DSP Algorithms", "ASIC Design", "System-level RF performance", "RF architecture definition", "RF line-up design", "RF specifications", "Product requirements", "System performance targets", "RF front-end impairments", "RF architectures", "Low power RFIC", "Phased array systems", "Wireless SOCs", "mmWave RFIC designs", "Digital/Wireless Communication Systems", "MATLAB", "ADS", "Ansys HFSS", "Keysight ADS" ], "skillCount" : 31, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3067b4f292fd229cfc0dc7", "title" : "Sr. Associate Engineer Software Development (Backend Engineer)", "company" : "Anaplan", "industry" : "SaaS", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior-level Backend Engineer in Gurugram, India, adjusted for the SaaS industry and Anaplan's company profile." }, "location" : "Gurugram - Office", "locations" : [ "Gurugram - Office" ], "timestamp" : "2026-06-16T08:59:38.168", "fingerprint" : "c34341ace4de0ca8e413d10b58a0f7849b82696b517d876e21fd69918f0f90ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anaplan/jobs/8571199002", "externalId" : "8571199002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Sr. Associate Engineer Software Development (Backend Engineer) At Anaplan, we optimise business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. We reward the innovators who power it. At Anaplan, you will be a part of a team of innovators focused on optimising business decision-making through our leading scenario planning and analysis platform. You’ll be inspired that the work you do every day helps us become a category-defining company. You’ll be connected to a talented and diverse team, with whom you’ll collaborate to execute our strategy. You’ll be developed to accomplish ambitious goals and then rewarded when those goals are achieved. The Role The Core Performance engineering team is looking for a junior software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform. Who are you? A Strong Engineer: You love engineering, and learning about engineering You care about quality: You care about the quality of your code, and you have a passion for performance of your code as well as the platform as a whole Thirst for knowledge: You have a hunger for knowledge Quick learner: You pick up concepts quickly, and enjoy reading up on those concepts and pairing with others to learn more Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility. Your Qualifications Experience: 2-4 years of professional software engineering or equivalent. Delivery: A track record of contributing to complex projects. DevOps: Experience creating and maintaining automated testing, preferably performance testing and the CICD tooling to support it Tech we use Java: We write many of our performance tests in Java, that compiles into jMeter jMeter: We performance test in jMeter Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our \"Core Server\" delivery Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customers Culture As well as joining a passionate team, you’ll be part of the wider Anaplan engineering community in our Gurugram office. You’ll find yourself among peers who support one another’s careers and work together to build a winning culture. Many of our leading engineers started at the same level you’re applying for — and grew into leadership roles with the backing of this community. We’ll give you the same support to take your career wherever you want it to go. Our Diversity and Inclusion Commitment Build your job in a place that thrives on diversity, inclusion and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! Fraud Recruitment Disclaimer: It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondence and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  Fraud Recruitment Disclaimer  It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.   Anaplan does not:  Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  ", "summaryDescription" : "Sr. Associate Engineer Software Development (Backend Engineer) at Anaplan", "postedDate" : "2026-06-15T23:26:21.635", "createdAt" : "2026-06-15T23:26:21.635", "lastUpdated" : "2026-06-16T08:59:38.168", "ingestTimestamp" : "2026-06-15T23:26:21.635", "mongoId" : "6a3067b4f292fd229cfc0dc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8670f0b99d5843fb0f", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Data Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 116300.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T22:28:20.009", "fingerprint" : "d51b7c50699a71c8df1a4e0eab75ed82c27257c17d47e5fdf149f6f2abf3aa63", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139882/apply", "externalId" : "22c0f594-c118-4082-9405-046643f6aecb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Generative AI, Machine Learning, HPC, C++, C#, Java, Python, Golang, PowerShell, Ruby, x86 architecture", "professionalSkills" : [ "Systems development", "Cloud scale", "Systems debugging", "Organizational skills", "Planning skills", "Architectural problems", "Server design", "Hardware engineering" ], "hardSkillsList" : [ "Systems engineering", "Server hardware", "Software development", "Baremetal server hardware", "Userland software", "System designs", "Diagnosis knowledge", "Operations knowledge" ], "softSkillsList" : [ "Leadership", "Curious" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Baremetal server hardware", "level" : "intermediate" }, { "name" : "Userland software", "level" : "intermediate" }, { "name" : "System designs", "level" : "intermediate" }, { "name" : "Diagnosis knowledge", "level" : "intermediate" }, { "name" : "Operations knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Curious" } ], "majorSkills" : "Generative AI, Machine Learning, Cloud computing, Systems engineering", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Cloud computing", "Systems engineering" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Identify deficiencies proactively, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Drive high quality, Drive reliability, Launch hardware", "teamCollaboration" : "Work with engineers across company; Work with SDEs; Work with SDETs; Work with Hardware Engineers; Work with TPMs; Work with Managers; Work with Principals; Work with AWS Hardware Engineering; Work with EC2; Work with other AWS services", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Generative AI; AI/ML; HPC workloads; Cloud computing; Server hardware; Cloud scale; AWS services; x86 architecture; Accelerated server solutions", "domainList" : [ "generative-ai", "ai-ml", "hpc-workloads", "cloud-computing", "server-hardware", "cloud-scale", "aws-services", "x86-architecture", "accelerated-server-solutions" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML", "HPC workloads", "Cloud computing", "Server hardware", "Cloud scale", "AWS services", "x86 architecture", "Accelerated server solutions" ], "innovationCreativity" : "Innovative self-starter", "problemSolvingSkills" : "Systems debugger; Diagnose issues", "outcomesObjectives" : "Deliver continuous price performance improvements; Enable high performance and scalability; See direct product improvements", "qualificationsBasic" : "7+ years systems engineering experience, Knowledge of systems engineering fundamentals, Experience programming with at least one modern language", "qualificationsPreferred" : "Experience with PowerShell, Experience with Python, Experience with Ruby, Experience with Java, Experience working in an Agile environment, Experience using the Scrum methodology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications: - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Data Services, Inc.. Skills: Generative AI, Machine Learning, Cloud computing, Systems engineering. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T02:14:12.807", "createdAt" : "2026-06-13T02:14:12.807", "lastUpdated" : "2026-06-14T22:28:20.009", "ingestTimestamp" : "2026-06-13T02:14:12.807", "mongoId" : "693c2b8670f0b99d5843fb0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139882/apply", "salaryAnnualMin" : 116300, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Systems engineering", "Server hardware", "Software development", "Baremetal server hardware", "Userland software", "System designs", "Diagnosis knowledge", "Operations knowledge", "Leadership", "Curious", "Generative AI", "Machine Learning", "Cloud computing", "Systems development", "Cloud scale", "Systems debugging", "Organizational skills", "Planning skills", "Architectural problems", "Server design", "Hardware engineering", "Agile", "Scrum", "AI/ML", "HPC workloads", "AWS services", "x86 architecture", "Accelerated server solutions" ], "skillCount" : 28, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a25146174d8ee00a00bb6cc", "title" : "Software Development Engineer, DynamoDB Storage", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:46:43.589", "fingerprint" : "c8eed0dee3320421bcdc9a07a18cc810c55303610692c5b5745700d45d83ce4a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440555/apply", "externalId" : "b104e596-51f5-4f09-9884-2164f918f2f9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "DynamoDB, Distributed systems", "professionalSkills" : [ "Solution architectures", "Technical plans" ], "hardSkillsList" : [ "Service optimization", "System scaling", "Cost optimization" ], "softSkillsList" : [ "Team-first", "Intellectual curiosity", "Mentoring" ], "hardSkills" : [ { "name" : "Service optimization", "level" : "intermediate" }, { "name" : "System scaling", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team-first" }, { "name" : "Intellectual curiosity" }, { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, Service design, System scaling", "majorSkillsList" : [ "Distributed systems", "Service design", "System scaling" ], "coreResponsibilities" : "Design distributed services, Build distributed services, Operate distributed services, Optimize distributed services, Translate requirements, Develop solution architectures, Develop technical plans, Perform development activities, Participate in design discussions, Participate in code reviews, Participate in service operations, Deliver engineering work, Execute project plans, Meet delivery commitments, Scale distributed systems, Automate operational processes, Improve operational processes, Support junior members", "teamCollaboration" : "Engineering team; Senior engineers; Principal engineers", "projectManagementSkills" : [ "Project plans", "Delivery commitments" ], "domainKnowledge" : "Distributed systems; Key-value database; Document database; High availability; Durability; Performance at scale", "domainList" : [ "distributed-systems", "key-value-database", "document-database", "high-availability", "durability", "performance-at-scale" ], "domainSpecificKnowledge" : [ "Distributed systems", "Key-value database", "Document database", "High availability", "Durability", "Performance at scale" ], "continuousLearning" : "Mentorship; Career growth resources", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Simplifying complex problems", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to work on new scaling challenges for one of the largest databases on earth? Do you enjoy simplifying complex problems and working on distributed systems? In this role you will work on a service that stores petabytes of data and maintains a very high bar for durability, availability, and performance. DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As one of the largest distributed database systems in the world, we continue to believe it is Day 1 for DynamoDB. We are looking for a deeply technical, team-first software development engineer to help us advance the product as our customer base continues to grow. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. As an engineer here, you will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. Key job responsibilities - Design, build, operate, optimize highly distributed, large-scale services. - Translate requirements into detailed solution architectures and technical plans. - Work with others on the engineering team to perform day-to-day development activities, participate in design discussions, code reviews, and ongoing operations of the service. - Deliver quality engineering work on time and on budget. Execute against project plans and delivery commitments. - Scale distributed systems with optimal balance between performance and cost. - Automate and improve repetitive operational processes. - Support more junior members of the team as they progress with their careers. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, DynamoDB Storage at Amazon.com Services LLC. Skills: Distributed systems, Service design, System scaling. Design distributed services. Build distributed services", "postedDate" : "2026-06-13T13:13:11.109", "createdAt" : "2026-06-13T13:13:11.109", "lastUpdated" : "2026-06-15T05:46:43.589", "ingestTimestamp" : "2026-06-13T13:13:11.109", "mongoId" : "6a25146174d8ee00a00bb6cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440555/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Service optimization", "System scaling", "Cost optimization", "Team-first", "Intellectual curiosity", "Mentoring", "Distributed systems", "Service design", "Solution architectures", "Technical plans", "Project plans", "Delivery commitments", "Key-value database", "Document database", "High availability", "Durability", "Performance at scale" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693072a170f0b99d58ffb50e", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Data Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 116300.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:28:38.856", "fingerprint" : "4c2c3cec074ae7221ae70f35c4de59624146a9089b3bf64926cfa65db419d2ac", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136557/apply", "externalId" : "219978a7-a78f-4097-a992-f2a64b20d72a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Generative AI, Machine Learning, HPC, x86 architecture, C++, C#, Java, Python, Golang, PowerShell, Ruby", "professionalSkills" : [ "Systems development", "Cloud scale", "Systems debugging", "Organizational skills", "Planning skills", "Architectural problems", "Server design", "Hardware engineering" ], "hardSkillsList" : [ "Server hardware", "Userland software", "System designs", "Diagnosis", "Operations knowledge", "Networking", "Storage systems", "Operating systems" ], "softSkillsList" : [ "Innovation", "Curiosity", "Leadership" ], "hardSkills" : [ { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Userland software", "level" : "intermediate" }, { "name" : "System designs", "level" : "intermediate" }, { "name" : "Diagnosis", "level" : "intermediate" }, { "name" : "Operations knowledge", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Storage systems", "level" : "intermediate" }, { "name" : "Operating systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Curiosity" }, { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Machine Learning, Cloud computing, Systems engineering", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Cloud computing", "Systems engineering" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Identify deficiencies, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Drive high quality, Drive reliability, Launch hardware", "teamCollaboration" : "Work with engineers across company; Work with SDEs; Work with SDETs; Work with Hardware Engineers; Work with TPMs; Work with Managers; Work with Principals; Work with AWS Hardware Engineering; Work with EC2; Work with other AWS services", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Generative AI; Machine Learning; HPC workloads; Cloud scale; Server hardware; Userland software; x86 architecture; Cloud computing; Distributed systems; Cloud infrastructure", "domainList" : [ "generative-ai", "machine-learning", "hpc-workloads", "cloud-scale", "server-hardware", "userland-software", "x86-architecture", "cloud-computing", "distributed-systems", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "HPC workloads", "Cloud scale", "Server hardware", "Userland software", "x86 architecture", "Cloud computing", "Distributed systems", "Cloud infrastructure" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Innovative self-starter; Design thinking", "problemSolvingSkills" : "Systems debugging; Troubleshooting; Root cause analysis", "outcomesObjectives" : "Deliver continuous price performance improvements; Enable high performance; Enable scalability; See direct product improvements", "qualificationsBasic" : "7+ years systems engineering experience, Knowledge of systems engineering fundamentals, Experience programming with at least one modern language", "qualificationsPreferred" : "Experience with PowerShell, Experience with Python, Experience with Ruby, Experience with Java, Experience working in an Agile environment, Experience using the Scrum methodology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications: - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Data Services, Inc.. Skills: Generative AI, Machine Learning, Cloud computing, Systems engineering. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T01:44:07.969", "createdAt" : "2026-06-13T01:44:07.969", "lastUpdated" : "2026-06-15T02:28:38.856", "ingestTimestamp" : "2026-06-13T01:44:07.969", "mongoId" : "693072a170f0b99d58ffb50e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136557/apply", "salaryAnnualMin" : 116300, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Server hardware", "Userland software", "System designs", "Diagnosis", "Operations knowledge", "Networking", "Storage systems", "Operating systems", "Innovation", "Curiosity", "Leadership", "Generative AI", "Machine Learning", "Cloud computing", "Systems engineering", "Systems development", "Cloud scale", "Systems debugging", "Organizational skills", "Planning skills", "Architectural problems", "Server design", "Hardware engineering", "Agile", "Scrum", "HPC workloads", "x86 architecture", "Distributed systems", "Cloud infrastructure" ], "skillCount" : 29, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3066c7f292fd229cfb5aaf", "title" : "Systems Engineer", "company" : "ALTEN Technology USA", "salary" : { "min" : 115000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T08:34:08.960", "fingerprint" : "97748797f5e151636d9f47e66c5ce057fcc8f1e6976f9450853399f6f28532e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/altentechnologyusa/jobs/5165299007", "externalId" : "5165299007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" } ], "locationText" : "Berkeley, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Location: Berkeley, CA We are looking for a Systems Engineer to join our team and bridge the gap between complex subsystem designs and high-level product architecture. You will be responsible for defining the technical requirements, interfaces, and integration strategies that ensure our large-scale energy storage systems operate reliably and safely. This role requires a holistic mindset, strong collaboration across multidisciplinary teams (mechanical, electrical, controls, and manufacturing), and a drive to solve tough technical challenges in service of our clean energy mission. Responsibilities • Define and manage system-level requirements, functional specifications, and interface control documents for core battery system architecture. • Collaborate with electrical, mechanical, and firmware engineering teams to ensure subsystem designs are seamlessly integrated and meet performance targets. • Lead system-level validation and integration testing, developing test plans that verify safety, reliability, and functionality under diverse operating conditions. • Perform trade-off analyses to optimize system performance, cost, and manufacturability, identifying potential risks early in the development lifecycle. • Conduct root cause analysis for complex system-level failures, working cross-functionally to implement effective engineering solutions. • Decompose requirements and functions from system-level down to component-level, ensuring traceability. Qualifications • Bachelor’s or Master’s degree in Engineering (Systems, Electrical, Mechanical, or equivalent) with 3+ years of professional experience. • Strong understanding of systems engineering principles, including requirements management, interface definition, and lifecycle development. • Experience in multidisciplinary integration, preferably in power electronics, battery systems, or large-scale electro-mechanical hardware. • Proficiency with electrical battery systems. • Proficiency with technical modeling and documentation tools (e.g., MATLAB/Simulink, SysML, or similar) to manage system architecture and performance data. • Excellent written and verbal communication skills, with the ability to bridge communication gaps between specialized engineering domains and non-technical stakeholders. Salary Range • $115,000-130,000 • The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.", "summaryDescription" : "Systems Engineer at ALTEN Technology USA", "postedDate" : "2026-06-15T23:22:26.262", "createdAt" : "2026-06-15T23:22:26.262", "lastUpdated" : "2026-06-16T08:34:08.960", "ingestTimestamp" : "2026-06-15T23:22:26.262", "mongoId" : "6a3066c7f292fd229cfb5aaf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fa9cbf4c40e2acd174f8bd", "title" : "Systems Development Engineer", "company" : "Amazon Support Services Pty Ltd", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, ecp", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Systems Development Engineer in Sydney, Australia, adjusted for Amazon's size and the technology industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T03:04:52.775", "fingerprint" : "fc245c9f19f433f1dcf542ea8c0d989bdda53fd46a66d2e82f052eba770b0eea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412002/apply", "externalId" : "03118bf6-bbcb-48a9-bb32-91c3c3c9e2a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Ruby, Java, C++, C#, Golang, PowerShell", "professionalSkills" : [ "System design", "Root cause analysis", "Network fundamentals", "Cloud infrastructure" ], "hardSkillsList" : [ "Programming", "Scripting", "Automation", "CI/CD", "Linux/Unix", "Networking", "Cloud infrastructure" ], "hardSkills" : [ { "name" : "Programming", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Linux/Unix", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" } ], "majorSkills" : "Software development, Network engineering, Intelligent automation", "majorSkillsList" : [ "Software development", "Network engineering", "Intelligent automation" ], "coreResponsibilities" : "Design build software components, Build products, Build services, Develop backend services, Develop APIs, Create infrastructure monitoring, Create logging solutions, Create observability solutions, Build automation solutions, Investigate technical issues, Perform root cause analysis, Implement long term fixes, Leverage Amazon AI tools, Solve business problems, Predict failures, Turn operational data into intelligence", "domainKnowledge" : "Global corporate network; Network devices; Telemetry systems; DNS; DHCP; TCP/IP; Routing; Switching; HTTP; Cloud infrastructure", "domainList" : [ "global-corporate-network", "network-devices", "telemetry-systems", "dns", "dhcp", "tcp-ip", "routing", "switching", "http", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Global corporate network", "Network devices", "Telemetry systems", "DNS", "DHCP", "TCP/IP", "Routing", "Switching", "HTTP", "Cloud infrastructure" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "4+ years programming modern language, 4+ years building scripts tooling automation, 1+ years Linux/Unix environment, CI/CD pipelines build processes", "qualificationsPreferred" : "Experience with AWS, Experience with networks, Experience with operating systems, Knowledge of cloud infrastructure, Experience with network fundamentals, Experience building tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a highly skilled Systems Development Engineer to help solve one of its most complex operational challenges: keeping every Amazon office on the planet connected, automatically. This is your chance to join a specialist team that monitors, heals, and scales Amazon's vast and ever-expanding global corporate network. The scope of this opportunity is unlike anything you'll find elsewhere. As a Systems Development Engineer, you will be part software engineer, part network emgineer, building the intelligent automation that allows complex systems to run and repair themselves. In this role, you will design and build the tools that keep 540,000 Amazonians connected across 500+ locations worldwide. From telemetry systems that detect and resolve issues in real time, to automation that can configure and upgrade over 10,000 network devices at scale, your work will be at the core of how Amazon stays connected as it continues to grow globally. Key job responsibilities - Design and build entirely new software components, products, and services that improve operational efficiency across the network. - Develop scalable, reliable backend services and APIs with a focus on durability, security, and observability. - Create infrastructure monitoring, logging, and observability solution. - Build automation solutions using modern programming languages such as Python, Ruby, and Java. - Investigate complex technical issues, perform root cause analysis, and implement long term fixes to prevent recurrence. - Leverage Amazon's AI tools to solve business problems, predict failures, and turn operational data into actionable intelligence. Basic Qualifications: - 4+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 4+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience with CI/CD pipelines build processes - 1+ years of working in a Linux/Unix environment experience - Bachelor's degree or equivalent Preferred Qualifications: - Experience with AWS, networks and operating systems - Knowledge of and experience with cloud infrastructure technologies - Experience in network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP) - Experience building tools for building, testing, releasing or monitoring Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Systems Development Engineer at Amazon Support Services Pty Ltd. Skills: Software development, Network engineering, Intelligent automation. Design build software components. Build products", "postedDate" : "2026-06-13T10:03:46.360", "createdAt" : "2026-06-13T10:03:46.360", "lastUpdated" : "2026-06-15T03:04:52.775", "ingestTimestamp" : "2026-06-13T10:03:46.360", "mongoId" : "69fa9cbf4c40e2acd174f8bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412002/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Programming", "Scripting", "Automation", "CI/CD", "Linux/Unix", "Networking", "Cloud infrastructure", "Software development", "Network engineering", "Intelligent automation", "System design", "Root cause analysis", "Network fundamentals", "Global corporate network", "Network devices", "Telemetry systems", "DNS", "DHCP", "TCP/IP", "Routing", "Switching", "HTTP" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693072a070f0b99d58ffb50b", "title" : "Systems Development Eng (AWS Generative AI & ML Servers)", "company" : "Amazon Web Services, Inc.", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:52:19.060", "fingerprint" : "63107edb7969061de63354345130f440efd9ce32d20864d7feefaa3c59945674", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136572/apply", "externalId" : "eba63d1f-02a3-4e6c-b835-e7a7a4453af6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Generative AI, ML, HPC, x86 architecture", "professionalSkills" : [ "Systems design", "Operations knowledge", "Hardware engineering" ], "hardSkillsList" : [ "Server design", "System diagnosis", "Reliability engineering" ], "softSkillsList" : [ "Innovative", "Curious", "Leader" ], "hardSkills" : [ { "name" : "Server design", "level" : "intermediate" }, { "name" : "System diagnosis", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovative" }, { "name" : "Curious" }, { "name" : "Leader" } ], "majorSkills" : "Generative AI, ML Servers, Cloud scale", "majorSkillsList" : [ "Generative AI", "ML Servers", "Cloud scale" ], "coreResponsibilities" : "Design AWS cloud offerings, Deliver AWS cloud offerings, Operate AWS cloud offerings, Solve complex architectural problems, Own team systems, Identify deficiencies proactively, Write tactical code, Scale solutions, Decompose server system problems, Lead task delivery, Drive high quality, Drive reliability", "teamCollaboration" : "Work with engineers across company; Work with SDEs; Work with SDETs; Work with Hardware Engineers; Work with TPMs; Work with Managers; Work with Principals; Work with EC2; Work with other AWS services", "projectManagementSkills" : [ "Planning" ], "domainKnowledge" : "Generative AI; AI/ML workloads; HPC workloads; Cloud scale; Server hardware; Software in userland; x86 architecture; Accelerated server solutions", "domainList" : [ "generative-ai", "ai-ml-workloads", "hpc-workloads", "cloud-scale", "server-hardware", "software-in-userland", "x86-architecture", "accelerated-server-solutions" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML workloads", "HPC workloads", "Cloud scale", "Server hardware", "Software in userland", "x86 architecture", "Accelerated server solutions" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Learn; Curious", "innovationCreativity" : "Innovative; Design; Build", "problemSolvingSkills" : "Systems debugger; Diagnose issues; Solve problems", "outcomesObjectives" : "Deliver improvements for AWS; See direct product improvements", "qualificationsBasic" : "Full technical stack knowledge, Systems debugger, Organizational skills, Planning skills, Communication skills, Builder", "qualificationsPreferred" : "1+ years development/programming/scripting experience, Knowledge of engineering practices, Experience leading complex software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history! Why it matters? Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it? You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - 4+ years of non-internship professional software development experience - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of systems development in an IT or data center environment experience - 4+ years of deploying and operating in a Linux/Unix environment experience - 2+ years of systems design, software development, operations, automation, and process improvement experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred Qualifications: - 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Eng (AWS Generative AI & ML Servers) at Amazon Web Services, Inc.. Skills: Generative AI, ML Servers, Cloud scale. Design AWS cloud offerings. Deliver AWS cloud offerings", "postedDate" : "2026-06-13T00:31:57.732", "createdAt" : "2026-06-13T00:31:57.732", "lastUpdated" : "2026-06-15T01:52:19.060", "ingestTimestamp" : "2026-06-13T00:31:57.732", "mongoId" : "693072a070f0b99d58ffb50b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136572/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Server design", "System diagnosis", "Reliability engineering", "Innovative", "Curious", "Leader", "Generative AI", "ML Servers", "Cloud scale", "Systems design", "Operations knowledge", "Hardware engineering", "Planning", "AI/ML workloads", "HPC workloads", "Server hardware", "Software in userland", "x86 architecture", "Accelerated server solutions" ], "skillCount" : 19, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a16291c58b93c861e95a40c", "title" : "Electrical Engineer (PE) - Battery Energy Storage Systems BESS", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical Engineer in Phoenix, Arizona, adjusted for mid-seniority and the engineering industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Engineer (PE) license" ], "timestamp" : "2026-06-16T04:35:58.459", "fingerprint" : "9627419f29427ba782befcfcebd0e64f27a6afc379daee71523cbdbd64b72406", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=740231", "externalId" : "740231", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AutoCAD, Microsoft Office, Revit, SKM, AGI, EasyPower", "domainKnowledge" : "Battery Energy Storage Systems", "domainList" : [ "battery-energy-storage-systems" ], "domainSpecificKnowledge" : [ "Battery Energy Storage Systems" ], "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Previous experience in electrical design, Professional Engineer (PE) license, Strong computer skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Electrical Engineering or Architectural Engineering with an Electrical emphasis Previous experience in electrical design of buildings (lighting/power/systems) Professional Engineer (PE) license Strongcomputer skills using AutoCAD and Microsoft Office, Revit, SKM, AGI and EasyPower An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Arizona-Phoenix", "summaryDescription" : "Electrical Engineer (PE) - Battery Energy Storage Systems BESS at HDR", "createdAt" : "2026-06-14T19:50:27.751", "lastUpdated" : "2026-06-16T04:35:58.459", "ingestTimestamp" : "2026-06-14T19:50:27.751", "mongoId" : "6a16291c58b93c861e95a40c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Battery Energy Storage Systems", "Professional Engineer (PE) license" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146174d8ee00a00bb6ca", "title" : "Software Development Engineer, DynamoDB Storage", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:02:30.506", "fingerprint" : "358e2e441f1d5bdf913a63a551ce808e7ff5ad36c811a1e769565db4e04ee236", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440557/apply", "externalId" : "8cc955b4-4279-4e22-9b4c-06c9d28520af", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Distributed systems, Key-value databases, Document databases", "professionalSkills" : [ "Solution architectures", "Technical plans" ], "hardSkillsList" : [ "System scaling", "Performance optimization", "Cost optimization" ], "hardSkills" : [ { "name" : "System scaling", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Database engineering, Service operations", "majorSkillsList" : [ "Distributed systems", "Database engineering", "Service operations" ], "coreResponsibilities" : "Design distributed services, Build distributed services, Operate distributed services, Optimize distributed services, Translate requirements, Develop solution architectures, Create technical plans, Perform development activities, Participate in design discussions, Participate in code reviews, Manage service operations, Deliver quality engineering work, Execute project plans, Meet delivery commitments, Scale distributed systems, Automate operational processes, Improve operational processes, Support junior members", "teamCollaboration" : "Engineering team; Motivated teams; Senior engineers; Principal engineers", "projectManagementSkills" : [ "Project plans", "Delivery commitments" ], "domainKnowledge" : "Distributed systems; Database systems; Key-value databases; Document databases; High availability; Durability; Performance", "domainList" : [ "distributed-systems", "database-systems", "key-value-databases", "document-databases", "high-availability", "durability", "performance" ], "domainSpecificKnowledge" : [ "Distributed systems", "Database systems", "Key-value databases", "Document databases", "High availability", "Durability", "Performance" ], "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Simplifying complex problems", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to work on new scaling challenges for one of the largest databases on earth? Do you enjoy simplifying complex problems and working on distributed systems? In this role you will work on a service that stores petabytes of data and maintains a very high bar for durability, availability, and performance. DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As one of the largest distributed database systems in the world, we continue to believe it is Day 1 for DynamoDB. We are looking for a deeply technical, team-first software development engineer to help us advance the product as our customer base continues to grow. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. As an engineer here, you will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. Key job responsibilities - Design, build, operate, optimize highly distributed, large-scale services. - Translate requirements into detailed solution architectures and technical plans. - Work with others on the engineering team to perform day-to-day development activities, participate in design discussions, code reviews, and ongoing operations of the service. - Deliver quality engineering work on time and on budget. Execute against project plans and delivery commitments. - Scale distributed systems with optimal balance between performance and cost. - Automate and improve repetitive operational processes. - Support more junior members of the team as they progress with their careers. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, DynamoDB Storage at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Database engineering, Service operations. Design distributed services. Build distributed services", "postedDate" : "2026-06-13T04:36:09.523", "createdAt" : "2026-06-13T04:36:09.523", "lastUpdated" : "2026-06-15T04:02:30.506", "ingestTimestamp" : "2026-06-13T04:36:09.523", "mongoId" : "6a25146174d8ee00a00bb6ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440557/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "System scaling", "Performance optimization", "Cost optimization", "Distributed systems", "Database engineering", "Service operations", "Solution architectures", "Technical plans", "Project plans", "Delivery commitments", "Database systems", "Key-value databases", "Document databases", "High availability", "Durability", "Performance" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fda4e24c40e2acd1b9967d", "title" : "Sr. Systems Engineer", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Interdisciplinary Systems Engr, Retail", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T23:39:17.555", "fingerprint" : "a8b6a5ab83caf4dab0a61844e95b8b472be57dd2fbcf753cec57ff1497eb3940", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412985/apply", "externalId" : "2df6a777-5393-45bc-9dda-5135da6cfa5f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Distributed system functions, System design, Distributed system architecture", "professionalSkills" : [ "Systems engineering", "Subject matter expert", "Interdisciplinary trade studies", "Regulatory compliance", "Safety requirements validation" ], "hardSkillsList" : [ "Systems engineering", "Traffic management", "Route planning", "Geospatial", "Requirements generation", "Verification reports", "System life cycle", "Compliance matrix validation", "Verification plan writing" ], "softSkillsList" : [ "Innovation", "Problem solving" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Traffic management", "level" : "intermediate" }, { "name" : "Route planning", "level" : "intermediate" }, { "name" : "Geospatial", "level" : "intermediate" }, { "name" : "Requirements generation", "level" : "intermediate" }, { "name" : "Verification reports", "level" : "intermediate" }, { "name" : "System life cycle", "level" : "intermediate" }, { "name" : "Compliance matrix validation", "level" : "intermediate" }, { "name" : "Verification plan writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Problem solving" } ], "majorSkills" : "Systems engineering, Autonomous systems, Cloud architecture, Traffic management", "majorSkillsList" : [ "Systems engineering", "Autonomous systems", "Cloud architecture", "Traffic management" ], "coreResponsibilities" : "Define safety critical autonomous ground system features, Design safety critical autonomous ground system features, Verify safety critical autonomous ground system features, Launch safety critical autonomous ground system features, Serve as systems engineering lead, Serve as subject matter expert, Lead interdisciplinary trade studies, Determine critical requirements, Generate systems engineering artifacts, Own the entire system life cycle, Take features from concept to production, Review airspace regulations, Review industry standards, Collaborate with cross-functional teams, Define site-specific requirements, Expand automated traffic management system, Validate system adherence, Write verification plan, Ensure critical system requirements are tested, Drive integration of automated traffic management solution, Drive deployment of automated traffic management solution", "teamCollaboration" : "Cross-functional teams; Engineering teams; Interdisciplinary teams", "projectManagementSkills" : [ "Technical program management" ], "domainKnowledge" : "Airspace regulations; Autonomous ground systems; Airspace Mission Orchestration; Cloud based systems; Traffic management systems; Geospatial engineering; Weather science; Distributed systems; Flight decks; ARP4754A; DO-178C; DO-278A; DO-254", "domainList" : [ "airspace-regulations", "autonomous-ground-systems", "airspace-mission-orchestration", "cloud-based-systems", "traffic-management-systems", "geospatial-engineering", "weather-science", "distributed-systems", "flight-decks", "arp4754a", "do-178c", "do-278a", "do-254" ], "domainSpecificKnowledge" : [ "Airspace regulations", "Autonomous ground systems", "Airspace Mission Orchestration", "Cloud based systems", "Traffic management systems", "Geospatial engineering", "Weather science", "Distributed systems", "Flight decks", "ARP4754A", "DO-178C", "DO-278A", "DO-254" ], "documentationSkills" : "CONOPs; Design documents; Interface control documents; Requirements; Test cases; Test procedure; Test execution; Verification reports; Verification plan", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Analytical capabilities; Solve massive-scale real world delivery challenges; Solve hard problems", "outcomesObjectives" : "Provide visible benefit to end-users; Get the right things done quickly; Get the right things done effectively; Launch safety critical features; Safe system life cycle; Performant system life cycle; Certifiable system life cycle", "qualificationsBasic" : "Technical lead experience, Systems engineer experience, Technical program manager experience, Complex systems experience, Test strategies experience, Test plans experience, Complex hardware/software systems experience, Systems of systems experience, Bachelor's degree in Aerospace, Bachelor's degree in Electrical Engineering, Bachelor's degree in Mechanical Engineering, Bachelor's degree in Software Engineering, Bachelor's degree in related technical discipline", "qualificationsPreferred" : "Master's degree preferred, 5+ years ARP4754A experience, 5+ years DO-178C experience, 5+ years DO-278A experience, 5+ years DO-254 experience, Geospatial engineering experience, Weather science experience, Distributed systems experience, Flight decks experience, Traffic management experience, Cloud based software development experience, System design experience, Distributed system architecture experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve massive-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our engineering teams. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history! Key job responsibilities As a Senior Systems Engineer you will define, design, verify, and launch safety critical autonomous ground system features in a variety of airspace environments. Key responsibilities include: - Serve as the systems engineering lead and subject matter expert for subsystem(s) within the Airspace Mission Orchestration System, containing the safety critical cloud based operator interface, traffic management, communications, route planning, geospatial, and distributed system functions. - Lead interdisciplinary trade studies across Prime Air software, system, product, and regulatory functions to determine the critical requirements for a scalable cloud based system architecture. - Generate key systems engineering artifacts CONOPs, design documents, interface control documents, requirements, test cases, test procedure, test execution, and verification reports. - Own the entire system life cycle, taking features from concept to production in a way that is safe, performant, and certifiable. A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations and industry standards. They then collaborate with cross-functional teams to define site-specific requirements for expanding the automated traffic management system to multiple locations within different jurisdictions. This is followed by a deep dive into the compliance matrix, validating the system's adherence to internal and external regulatory and safety requirements. The day concludes with writing a verification plan to ensure critical system requirements are adequately tested. Leveraging technical expertise, analytical skills, and collaboration, the engineer drives the successful integration and deployment of the automated traffic management solution. About the team The systems engineering team is a driven, focused, and experience team of aerospace professionals. Our systems engineering team is driven by a relentless customer obsession, we tackle the toughest technical challenges, turning visions into reality. Our mission is to design, integrate, and verify innovative ground systems that push the boundaries of what's possible. We are a collaborative group of problem-solvers, each bringing unique expertise from aerospace and technology sectors. Our culture is one of ownership and accountability - we take pride in our work and hold ourselves to the highest standards. Basic Qualifications: - Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems - Experience developing test strategies and plans for complex hardware/software systems or systems of systems - Bachelor's degree in Aerospace, Electrical, Mechanical, Software Engineering, or a related technical discipline Preferred Qualifications: - Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field - 5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related. - Experience in one or more of the following: Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system architecture. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Systems Engineer at Amazon.com Services LLC. Skills: Systems engineering, Autonomous systems, Cloud architecture, Traffic management. Define safety critical autonomous ground system features. Design safety critical autonomous ground system features", "postedDate" : "2026-06-13T06:18:02.264", "createdAt" : "2026-06-13T06:18:02.264", "lastUpdated" : "2026-06-14T23:39:17.555", "ingestTimestamp" : "2026-06-13T06:18:02.264", "mongoId" : "69fda4e24c40e2acd1b9967d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412985/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Systems engineering", "Traffic management", "Route planning", "Geospatial", "Requirements generation", "Verification reports", "System life cycle", "Compliance matrix validation", "Verification plan writing", "Innovation", "Problem solving", "Autonomous systems", "Cloud architecture", "Subject matter expert", "Interdisciplinary trade studies", "Regulatory compliance", "Safety requirements validation", "Technical program management", "Airspace regulations", "Autonomous ground systems", "Airspace Mission Orchestration", "Cloud based systems", "Traffic management systems", "Geospatial engineering", "Weather science", "Distributed systems", "Flight decks", "ARP4754A", "DO-178C", "DO-278A", "DO-254" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "sr systems development engineer trusted servers and archival storage team jobs", "metadata" : { "title" : "sr systems development engineer trusted servers and archival storage team" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 134267, "totalPages" : 2686, "hasNext" : true, "hasPrevious" : false } }

Remote Sr Systems Development Engineer Trusted Servers And Archival Storage Team Jobs

Top Skills

Sr Storage Engineer

Sr Storage Engineer

Senior Systems Engineer II - Servers

Systems Development Engineer I, AWS ADC Storage Services

Sr Software Development Engineer

Sr Software Development Engineer

Systems Development Eng (AWS Generative AI & ML Servers)

Sr. Systems Engineer

Sr. System Development Engineer, Storage System Development

Systems Development Engineer

Sr. Solutions Architect, Storage, WWSO Storage SA Team

System Development Engineer, Cloud AI/ML/storage server teams

Sr. Software Engineer, Systems Infrastructure

Sr. Software Engineer, Systems Infrastructure

Staff Storage Engineer

Staff Storage Engineer

Sr. Software Development Engineer, Products and Solutions

Systems Development Eng (AWS Generative AI & ML Servers)

Sr. Software Development Engineer, DynamoDB Storage Engine

Sr Systems Development Manager, ADC Analytics and Machine Learning

Systems Engineer, Messaging and Streaming Team

Systems Development Eng (AWS Generative AI & ML Servers)

Sr. Systems Engineer

Archival Processing Assistant

Sr. Engineer, Systems

Software Development Engineer, Content and Channel Tech Team

Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), Accelerator Servers

Systems Development Eng (AWS Generative AI & ML Servers)

Senior Compiler Engineer - Systems Team

Sr. Network Development Engineer

Sr Information Systems Engineer

Systems Development Engineer

Sr. Systems Engineer

Systems Development Engineer

Sr. Systems Engineer

Systems Engineer

Systems Development Engineer

Systems Development Eng (AWS Generative AI & ML Servers)

Sr. RF and Wireless Systems Engineer

Sr. Associate Engineer Software Development (Backend Engineer)

Systems Development Eng (AWS Generative AI & ML Servers)

Software Development Engineer, DynamoDB Storage

Systems Development Eng (AWS Generative AI & ML Servers)

Systems Engineer

Systems Development Engineer

Systems Development Eng (AWS Generative AI & ML Servers)

Electrical Engineer (PE) - Battery Energy Storage Systems BESS

Senior Systems Engineer, Commercial Intelligence and Analytics

Software Development Engineer, DynamoDB Storage

Sr. Systems Engineer

Related Searches

All Sr Systems Development Engineer Trusted Servers And Archival Storage Team Jobs by City

More Remote Jobs

Common Questions