{ "count" : 101586, "data" : [ { "id" : "6a2c6bcf74d8ee00a0914cbd", "title" : "HPC Systems Engineer, Modeling & Simulation", "company" : "Anduril Industries", "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-15T09:42:53.742", "fingerprint" : "6c55c238a47d1f700dbf14b6793bdf9d975c8789aa4374b6b971c34998f2a783", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5154234007?gh_jid=5154234007", "externalId" : "5154234007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Costa Mesa, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, computer vision, sensor fusion, networking", "professionalSkills" : [ "DOE, DoD, NNSA, or classified computing experience strongly preferred." ], "hardSkillsList" : [ "Slurm", "HPC scheduling", "cluster management" ], "hardSkills" : [ { "name" : "Slurm", "level" : "intermediate" }, { "name" : "HPC scheduling", "level" : "intermediate" }, { "name" : "cluster management", "level" : "intermediate" } ], "majorSkills" : "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology", "majorSkillsList" : [ "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology" ], "coreResponsibilities" : "Develop tools that improve analyst, researcher, or engineering productivity.", "teamCollaboration" : "Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "toolProficiency" : [ "Slurm" ], "problemSolvingSkills" : "system design", "specialRequirements" : "Highly competitive equity grants are included in the majority of full time and are considered part of Anduril's total compensation package.", "outcomesObjectives" : "As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.", "qualificationsBasic" : "Experience with Slurm or comparable HPC scheduling and cluster management tools.", "qualificationsPreferred" : "DOE, DoD, NNSA, or classified computing experience strongly preferred. Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team The Lethality Modeling DOE, DoD, NNSA, or classified computing experience strongly preferred Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment Experience with Slurm or comparable HPC scheduling and cluster management tools Experience developing tools that improve analyst, researcher, or engineering productivity US Salary Range $132,000—$198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "HPC Systems Engineer, Modeling & Simulation at Anduril Industries. Skills: HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology. 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Document detailed business requirements, functional specifications, user stories, use cases, and process flows. 2. Solution Design & Validation Recommend IT solutions and process changes aligned with business goals. Collaborate with architects, developers, QA, and product teams to validate product meet requirements. Participate in system testing, including UAT planning, execution, and defect resolution. 3. Stakeholder Management Act as the communication link between PO/Business and Development teams. Facilitate workshops and discovery sessions to gather requirements. Provide status updates and ensure all parties have aligned expectations. 4. Continuous Improvement & Support Monitor systems post‑implementation and recommend improvements. Support end users with training, documentation, and troubleshooting. Drive enhancement initiatives that improve IT service quality and user experience. Core Skills Strong analytical and problem‑solving abilities. Excellent communication and interpersonal skills. Ability to translate complex business requirements into clear technical specifications. Proficiency in documentation (BRD, FRD, user stories, diagrams, etc.). Technical Skills Understanding of IT systems, data models, and integration concepts. Experience with business analysis tools (e.g., process modeling, wireframing). Experience with BI tools (preferred). Education Bachelor’s degree in Business / B. Tech / MBA or equivalent field. Preferred Certifications Agile/Scrum certifications. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Business Analyst - VerSO SIM. Skills: Business analysis, System solutions, Digital transformation. Analyze business needs. 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They translate business needs into technical requirements, analyze processes, recommend IT solutions, and ensure implemented systems deliver business value. Key Responsibilities 1. Requirements Gathering & Analysis Analyze business needs, processes, and workflows Conduct business/user needs analysis and translate them into functional system requirements. Work with stakeholders to identify opportunities for process and system improvement. Document detailed business requirements, functional specifications, user stories, use cases, and process flows. 2. Solution Design & Validation Recommend IT solutions and process changes aligned with business goals. Collaborate with architects, developers, QA, and product teams to validate product meet requirements. Participate in system testing, including UAT planning, execution, and defect resolution. 3. Stakeholder Management Act as the communication link between PO/Business and Development teams. Facilitate workshops and discovery sessions to gather requirements. Provide status updates and ensure all parties have aligned expectations. 4. Continuous Improvement & Support Monitor systems post‑implementation and recommend improvements. Support end users with training, documentation, and troubleshooting. Drive enhancement initiatives that improve IT service quality and user experience. Core Skills Strong analytical and problem‑solving abilities. Excellent communication and interpersonal skills. Ability to translate complex business requirements into clear technical specifications. Proficiency in documentation (BRD, FRD, user stories, diagrams, etc.). Technical Skills Understanding of IT systems, data models, and integration concepts. Experience with business analysis tools (e.g., process modeling, wireframing). Experience with BI tools (preferred). Education Bachelor’s degree in Business / B. Tech / MBA or equivalent field. Preferred Certifications Agile/Scrum certifications. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Business Analyst - VerSO SIM. Skills: Business analysis, System solutions, Digital transformation. Analyze business needs. Analyze processes", "createdAt" : "2026-06-14T18:54:32.386", "lastUpdated" : "2026-06-16T02:01:53.259", "ingestTimestamp" : "2026-06-14T18:54:32.386", "mongoId" : "6a191e7758b93c861e39f83f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Requirements gathering", "Functional specifications", "User stories", "Use cases", "Process flows", "System testing", "UAT planning", "Defect resolution", "Troubleshooting", "Business analysis", "System solutions", "Digital transformation", "Process modeling", "Wireframing", "Sales Background", "Agile certifications", "Scrum certifications", "Business analysis tools", "Process modeling tools", "Wireframing tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1001.8368, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4074d8ee00a08ea554", "title" : "Principal Systems Engineer", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T00:50:24.461", "fingerprint" : "43f160d41b55aa072a9419c54fa30e17a0fd2c66507e5cad50c9a526ee675c00", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4809257101", "externalId" : "4809257101", "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", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "InfiniBand, RoCE, Ethernet, PCIe, NUMA, NCCL, RDMA, GPUDirect", "professionalSkills" : [ "System design", "Performance tuning", "Congestion control", "Benchmarking methodology", "Deployment strategy", "Scalability design", "Infrastructure scaling" ], "hardSkillsList" : [ "GPU cluster bringup", "Network fabric architecture", "Cluster validation", "Performance benchmarking", "Deployment automation", "Systems debugging" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "GPU cluster bringup", "level" : "intermediate" }, { "name" : "Network fabric architecture", "level" : "intermediate" }, { "name" : "Cluster validation", "level" : "intermediate" }, { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Systems debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "GPU Supercluster Bringup, Network Fabric Architecture, Performance Optimization, Deployment Strategy", "majorSkillsList" : [ "GPU Supercluster Bringup", "Network Fabric Architecture", "Performance Optimization", "Deployment Strategy" ], "coreResponsibilities" : "Define technical standards, Lead GPU cluster deployments, Architect network fabrics, Establish acceptance criteria, Establish validation frameworks, Tune and validate NCCL, Validate RDMA, Validate GPUDirect, Validate collective operations, Identify performance bottlenecks, Eliminate performance bottlenecks, Drive congestion control, Drive fabric optimization, Define performance benchmarking, Design repeatable deployment models, Build automation frameworks, Establish deployment SLAs, Establish quality gates, Establish operational readiness, Reduce time-to-capacity, Increase reliability, Serve as escalation point, Mentor senior engineers, Shape infrastructure best practices, Influence hardware selection, Influence rack topology, Influence data center design, Partner on infrastructure strategy", "teamCollaboration" : "Cross-functional leadership; Partner with executive leadership", "domainKnowledge" : "AI infrastructure; Frontier-scale workloads; GPU clusters; Distributed compute; High-density deployments; High-performance networking; AI workloads; AI training workloads; Distributed storage systems", "domainList" : [ "ai-infrastructure", "frontier-scale-workloads", "gpu-clusters", "distributed-compute", "high-density-deployments", "high-performance-networking", "ai-workloads", "ai-training-workloads", "distributed-storage-systems" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Frontier-scale workloads", "GPU clusters", "Distributed compute", "High-density deployments", "High-performance networking", "AI workloads", "AI training workloads", "Distributed storage systems" ], "problemSolvingSkills" : "Performance debugging; Root cause analysis", "outcomesObjectives" : "Superclusters brought online quickly; Superclusters brought online predictably; Superclusters brought online at peak performance; Deployment processes scale; Infrastructure becomes competitive advantage; Define technical blueprint", "qualificationsBasic" : "10+ years of experience, Large-scale infrastructure experience, HPC environments experience, Bringing up large GPU clusters, High-speed networking expertise, Server architecture understanding, Debugging performance issues, Automation experience, Systems-level thinking", "qualificationsPreferred" : "Scaling AI training clusters, Liquid cooling experience, Ultra-high-density deployments experience, Defining infrastructure standards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Principal Systems Engineer – GPU Supercluster Bringup About Us We are building AI infrastructure for frontier-scale workloads. Our platform is designed for high-density, high-performance GPU clusters that push the limits of power, networking, and distributed compute. As a startup, we move fast, operate with ownership, and expect technical leaders to define standards—not just follow them. The Role We are hiring a Principal Deployment Engineer to architect and lead the bringup of large-scale GPU clusters (hundreds to thousands of GPUs). This is a technical leadership role responsible for defining how we deploy, validate, and scale AI superclusters across sites. You will own the full lifecycle of deployment—from rack design and fabric architecture to cluster validation frameworks and production readiness standards. You will set the bar for performance, reliability, and operational excellence. This role combines deep hands-on expertise with system-level thinking and cross-functional leadership. What You’ll Do End-to-End Supercluster Bringup Ownership Define the technical standards for node, rack, and full-cluster bringup. Lead large-scale GPU cluster deployments (multi-rack, multi-pod environments). Architect high-performance network fabrics (IB, RoCE, Ethernet) optimized for AI workloads. Establish cluster-level acceptance criteria and validation frameworks. Performance & Fabric Architecture Tune and validate NCCL, RDMA, GPUDirect, and collective operations at scale. Identify and eliminate performance bottlenecks across hardware, topology, and firmware layers. Drive congestion control and fabric optimization strategies. Define performance benchmarking methodology for AI training workloads. Deployment Strategy & Scalability Design repeatable deployment models for multi-site expansion. Build automation frameworks for provisioning and cluster validation. Establish deployment SLAs, quality gates, and operational readiness standards. Reduce time-to-capacity while increasing reliability. Technical Leadership Serve as the escalation point for complex bringup and performance issues. Mentor senior engineers and shape infrastructure best practices. Influence hardware selection, rack topology, and data center design decisions. Partner with executive leadership on infrastructure scaling strategy. What We’re Looking For Required 10+ years of experience in large-scale infrastructure or HPC environments. Proven experience bringing up large GPU clusters (hundreds+ GPUs). Deep expertise in high-speed networking (InfiniBand, RoCE, Ethernet fabrics). Strong understanding of server architecture (PCIe, NUMA, memory hierarchy). Experience debugging performance issues across compute and network layers. Strong automation and systems-level thinking. Strongly Preferred Experience scaling AI training clusters for frontier models. Experience with liquid cooling or ultra-high-density deployments. Knowledge of distributed storage systems (Lustre, Ceph, NVMe-oF). Experience defining infrastructure standards in a fast-growing organization. What Success Looks Like Superclusters are brought online quickly, predictably, and at peak performance. Deployment processes scale from first cluster to multi-site expansion. Infrastructure becomes a competitive advantage. You define the technical blueprint for how we scale AI infrastructure. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $175,000—$225,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Principal Systems Engineer at Nscale. Skills: GPU Supercluster Bringup, Network Fabric Architecture, Performance Optimization, Deployment Strategy. Define technical standards. 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S. citizen, Permanent resident", "qualificationsBasic" : "Bachelor's degree in electrical engineering, 6 years of experience, Experience with space-based communication payloads, Background in antenna and RF systems, Experience with scripting language, Experience with programming language, Experience with product/component developers, Excellent written and verbal technical communication skills, Proficiency with requirements management tool, Ability to define work direction, Ability to track milestones, Ability to demonstrate progress on projects, Ability to work well under pressure, Ability to work well with multifunctional teams", "qualificationsPreferred" : "Python development skills for modeling and simulation, Experience with Python-based simulations, Experience with modeling tools, Experience with software-enabled analysis, Experience with phased arrays, Experience with satellites, Experience with spacecraft, Experience with aerospace systems, Experience with DOORS, Experience with Jama", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking to add a Senior Communications Systems Engineer to our team. If you enjoy working in a startup environment and are passionate about developing Python-based simulations, modeling tools, and software-enabled analysis for leading-edge phased arrays, satellites, spacecraft, and aerospace systems, we would like to hear from you. The ideal candidate will have a strong background in systems engineering, experience with space-based communication systems, and hands-on Python development skills for modeling and simulation. In this position, you will help develop and maintain Python simulations and other analysis tools used to model how our communications hardware functions, evaluate SATCOM constellation performance, support link budgets and system trade studies, and inform requirements development, concept of operations (CONOPS), verification planning, and risk assessment. You will work across multidiscipline engineering teams, contribute to technical decision-making, and support program execution with clear analysis, modeling results, and practical engineering judgment. ## JOB DUTIES AND RESPONSIBILITIES Evaluate customer and operational needs to define requirements, integrate technical parameters, and assure compatibility of all physical, functional, and program interfaces Support verification planning and test execution Participate in development of system engineering processes for requirements management, flow down, and traceability Perform risk analysis and develop mitigation strategies Identify and resolve issues that may impede the progress of engineering teams Foster a culture of efficiency and continuous improvement within our programs ## JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS Bachelor’s degree in electrical engineering A minimum of 6 years of experience with emphasis on space-based communication payloads Background and practical experience in antenna and RF systems Experience with at least one scripting and one programming language Experience working with product/component developers and vendors who provide critical functionality to the overall system Excellent written and verbal technical communication skills. Proficiency with a requirements management tool such as DOORS or Jama Ability to define work direction, track milestones, and demonstrate progress on largeopen-ended projects Sense of urgency, with the ability to work well under pressure The ability to work well with multifunctional teams ## Additional Information CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.", "summaryDescription" : "Senior Communication Systems Engineer II at CesiumAstro. Skills: Communication systems, Python development, Modeling and simulation. Define requirements. 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The ideal candidate will have a strong background in systems engineering, experience with space-based communication systems, and hands-on Python development skills for modeling and simulation. In this position, you will help develop and maintain Python simulations and other analysis tools used to model how our communications hardware functions, evaluate SATCOM constellation performance, support link budgets and system trade studies, and inform requirements development, concept of operations (CONOPS), verification planning, and risk assessment. You will work across multidiscipline engineering teams, contribute to technical decision-making, and support program execution with clear analysis, modeling results, and practical engineering judgment. ## JOB DUTIES AND RESPONSIBILITIES Evaluate customer and operational needs to define requirements, integrate technical parameters, and assure compatibility of all physical, functional, and program interfaces Support verification planning and test execution Participate in development of system engineering processes for requirements management, flow down, and traceability Perform risk analysis and develop mitigation strategies Identify and resolve issues that may impede the progress of engineering teams Foster a culture of efficiency and continuous improvement within our programs ## JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS Bachelor’s degree in electrical engineering A minimum of 6 years of experience with emphasis on space-based communication payloads Background and practical experience in antenna and RF systems Experience with at least one scripting and one programming language Experience working with product/component developers and vendors who provide critical functionality to the overall system Excellent written and verbal technical communication skills. Proficiency with a requirements management tool such as DOORS or Jama Ability to define work direction, track milestones, and demonstrate progress on largeopen-ended projects Sense of urgency, with the ability to work well under pressure The ability to work well with multifunctional teams ## Additional Information CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. 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At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking to add a Senior Communications Systems Engineer to our team. If you enjoy working in a startup environment and are passionate about developing Python-based simulations, modeling tools, and software-enabled analysis for leading-edge phased arrays, satellites, spacecraft, and aerospace systems, we would like to hear from you. The ideal candidate will have a strong background in systems engineering, experience with space-based communication systems, and hands-on Python development skills for modeling and simulation. In this position, you will help develop and maintain Python simulations and other analysis tools used to model how our communications hardware functions, evaluate SATCOM constellation performance, support link budgets and system trade studies, and inform requirements development, concept of operations (CONOPS), verification planning, and risk assessment. You will work across multidiscipline engineering teams, contribute to technical decision-making, and support program execution with clear analysis, modeling results, and practical engineering judgment. ## JOB DUTIES AND RESPONSIBILITIES Evaluate customer and operational needs to define requirements, integrate technical parameters, and assure compatibility of all physical, functional, and program interfaces Support verification planning and test execution Participate in development of system engineering processes for requirements management, flow down, and traceability Perform risk analysis and develop mitigation strategies Identify and resolve issues that may impede the progress of engineering teams Foster a culture of efficiency and continuous improvement within our programs ## JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS Bachelor’s degree in electrical engineering A minimum of 6 years of experience with emphasis on space-based communication payloads Background and practical experience in antenna and RF systems Experience with at least one scripting and one programming language Experience working with product/component developers and vendors who provide critical functionality to the overall system Excellent written and verbal technical communication skills. Proficiency with a requirements management tool such as DOORS or Jama Ability to define work direction, track milestones, and demonstrate progress on largeopen-ended projects Sense of urgency, with the ability to work well under pressure The ability to work well with multifunctional teams ## Additional Information CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.", "summaryDescription" : "Senior Communication Systems Engineer II at CesiumAstro. Skills: Communication systems, Python simulations, Modeling and simulation. Define requirements. Integrate technical parameters", "postedDate" : "2026-06-09T17:44:56.570", "createdAt" : "2026-06-09T17:44:56.570", "lastUpdated" : "2026-06-15T00:11:13.508", "ingestTimestamp" : "2026-06-12T06:44:01.794", "mongoId" : "6a2aa2bb74d8ee00a06ad4d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Antenna systems", "RF systems", "Modeling", "Simulation", "Link budgets", "System trade studies", "Communication systems", "Python simulations", "Modeling and simulation", "Systems engineering", "Requirements management", "Risk analysis", "Program execution", "Engineering judgment", "Track milestones", "Demonstrate progress", "Space-based communication systems", "Phased arrays", "Satellites", "Spacecraft", "Aerospace systems", "SATCOM constellation performance", "CONOPS", "DOORS", "Jama" ], "skillCount" : 25, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 964.3329, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca66574d8ee00a09bb1fd", "title" : "RF Systems Engineer II", "company" : "Inversion", "salary" : { "min" : 106000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T05:25:01.655", "fingerprint" : "ca1596086110047c855efe22809230d12c0a71abd453320070420281cdc3be2f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705257005", "externalId" : "4705257005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "RF systems, RF test equipment, RFIC design, RF system architecture, RF component selection, RF system integration, RF system validation, Wireless communication standards, EM simulation tools, Scripting languages", "professionalSkills" : [ "System design", "Problem solving", "Technical documentation" ], "hardSkillsList" : [ "RF design", "System integration", "Test equipment operation" ], "hardSkills" : [ { "name" : "RF design", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "Test equipment operation", "level" : "intermediate" } ], "majorSkills" : "RF Systems Engineering, RFIC Design, System Integration", "majorSkillsList" : [ "RF Systems Engineering", "RFIC Design", "System Integration" ], "coreResponsibilities" : "Design RF systems, Develop RF system architecture, Select RF components, Integrate RF systems, Validate RF systems, Develop RF test plans, Operate RF test equipment, Troubleshoot RF issues, Document RF designs, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "RF systems; Wireless communication", "domainList" : [ "rf-systems", "wireless-communication" ], "domainSpecificKnowledge" : [ "RF systems", "Wireless communication" ], "toolProficiency" : [ "RF test equipment", "EM simulation tools" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years of experience, Experience with RF systems, Experience with RF test equipment, Experience with RFIC design, Experience with RF system architecture, Experience with RF component selection, Experience with RF system integration, Experience with RF system validation", "qualificationsPreferred" : "Master's degree or PhD, Experience with wireless communication standards, Experience with EM simulation tools, Experience with scripting languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a RF Systems Engineer at Inversion, you will report directly to the Manager of Arc Avionics. In this role, you will be responsible for the development, integration, and verification of the flight and ground RF/Telemetry systems for Inversion’s next-generation reentry vehicles. You will own the end-to-end lifecycle of communication hardware—taking systems from initial link analysis and component selection through to radiation pattern modeling, lab testing, and live mission-readiness validation. Key Responsibilities Develop and maintain high-fidelity communication link budgets, modeling vehicle-level antenna radiation patterns and simulating RF performance in challenging flight and atmospheric reentry environments. Perform trade studies to evaluate, select, and qualify commercial off-the-shelf (COTS) and custom RF components, including transmitters, transceivers, Power Amplifiers (PAs), Low Noise Amplifiers (LNAs), and antennas. Lead benchtop and vehicle-level RF testing using standard laboratory equipment, bridging hardware with software by supporting live end-to-end telemetry validation. Assist in establishing and testing ground station networks utilizing S-band and L-band frequencies to ensure robust link margins at critical elevation angles. Partner with software, guidance and control (GNC), power, and mechanical teams to ensure optimal antenna placement, proper thermal dissipation, and structural integrity under environmental stress. Assist in gathering technical data and generating documentation required for regulatory licensing with bodies such as the FCC, ITU, and NTIA. Design RF test systems and develop comprehensive test plans to qualify hardware across space and reentry environments (thermal, vibration, shock, EMI/EMC, and radiation). Required Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent technical experience. Typically 3+ years of professional aerospace/defense experience with direct ownership of RF hardware deployment, component qualification, or link architecture. Proven experience developing and analyzing RF link budgets under dynamic flight profiles. Foundational experience with electromagnetic simulation tools (such as Ansys HFSS) for modeling antenna characteristics or component behavior. Demonstrated background in the design of fault-tolerant and failover-capable RF systems. Proficient using common laboratory equipment such as spectrum analyzers, network analyzers, power meters, oscilloscopes, and data acquisition systems. Excellent verbal and written communication skills with the ability to present technical RF concepts to multidisciplinary teams. Desired Qualifications Experience testing and integrating S-band and L-band telemetry or transponder systems. Familiarity with the unique RF propagation and signal attenuation challenges associated with hypersonic spacecraft reentry (plasma blackout). Strong software or scripting fluency in Python or MATLAB for processing lab data, automated test scripts, or link budget tool development. Knowledge of aerospace environmental qualification processes, including EMI/EMC testing, anechoic chambers, vibration, and thermal vacuum (TVAC) environments. Familiarity with telemetry and range safety standards (e.g., IRIG-106) and digital modulation schemes (such as SOQPSK). Prior experience working in startups and/or small independent teams. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $106,000 - $150,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "RF Systems Engineer II at Inversion. Skills: RF Systems Engineering, RFIC Design, System Integration. Design RF systems. Develop RF system architecture", "postedDate" : "2026-06-14T21:38:59.534", "createdAt" : "2026-06-14T21:38:59.534", "lastUpdated" : "2026-06-16T05:25:01.655", "ingestTimestamp" : "2026-06-14T21:38:59.534", "mongoId" : "6a2ca66574d8ee00a09bb1fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 106000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "RF design", "System integration", "Test equipment operation", "RF Systems Engineering", "RFIC Design", "System Integration", "System design", "Problem solving", "Technical documentation", "RF systems", "Wireless communication", "RF test equipment", "EM simulation tools" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 941.221, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca41374d8ee00a09afdf5", "title" : "Business Systems Engineer II", "company" : "Uber Freight", "salary" : { "min" : 485000.0, "max" : 725000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Business Systems Engineer II in Mexico City, adjusted for mid-level experience and the logistics industry." }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-16T03:12:59.484", "fingerprint" : "522601e4242e0c6513fdac9673ca4c5c087e958b1ac30e7f562b1d38af3718b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/uberfreight/jobs/5196661008", "externalId" : "5196661008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Schedule: Full Time Job Type: Hybrid Salary Type: Salary Req #: 2631 About the Role: We are seeking a dedicated Systems Engineer to join our team. In this role, you will provide critical support for our Brokerage business Support Ecosystem including: Zendesk, Genesys Cloud, Custom Applications, and integrations. You will be the first point of contact for users experiencing issues, ensuring prompt resolution and minimal disruption to business operations and systems performance. What the Candidate Will Do: Issue Resolution: Diagnose and resolve technical issues, from user issues to system issues like failing python scripts or integrations. Systems Engineering: Develop & maintain automation and integration in Zendesk & Python, ensuring robust performance and reliability. User Support: Serve as the primary contact for support inquiries related to our Support Ecosystem. Ticket Management: Log all support requests in the ticketing system, ensuring accurate documentation of issues and resolutions. Escalation: Identify and escalate complex issues appropriate teams, following established protocols. Communication: Maintain clear and professional communication with users throughout the support process. Knowledge Base Contribution: Update and maintain support documentation and FAQs to assist users with common issues. Collaboration: Work closely with cross-functional teams to address recurring issues and improve system functionality. Basic Qualifications Technical Skills: Intermediate knowledge of SQL, Python, or Automation and Scripting Skills. Experience: 2+ years of experience in a technical support role, preferably supporting enterprise applications. Customer Service: Excellent interpersonal and communication skills with a strong focus on customer satisfaction. Problem-Solving: Strong analytical abilities to troubleshoot and resolve technical issues efficiently. Organizational Skills: Ability to manage multiple tasks simultaneously and prioritize effectively. Team Player: Demonstrated ability to work collaboratively in a team environment. Bonus Qualifications Certifications: Certifications in any of the supported applications (e.g., Salesforce Certified Administrator, Zendesk Support Administrator). Application Development Experience: Salesforce, Zendesk, McLeod, etc. Industry Experience: Experience in the logistics, freight, or transportation industry. About Uber Freight Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com. Candidate Privacy Notice EEOC Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.", "summaryDescription" : "Business Systems Engineer II at Uber Freight", "postedDate" : "2026-06-14T20:07:55.544", "createdAt" : "2026-06-14T20:07:55.544", "lastUpdated" : "2026-06-16T03:12:59.484", "ingestTimestamp" : "2026-06-14T20:07:55.544", "mongoId" : "6a2ca41374d8ee00a09afdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 938.2638, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5d249bc74574cb661a82", "title" : "Senior/Principal Systems Engineer", "company" : "Zeno Power", "industry" : "Climate Tech", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Systems Engineer in Seattle, USA, adjusted for seniority and the climate tech industry." }, "location" : "Seattle, WA", "locations" : [ "Seattle", "WA" ], "timestamp" : "2026-06-15T06:53:05.715", "fingerprint" : "d61396903a1ee95b757d3e196bcbd6567cef9741f0c1a4fea6ceae71f13cbb9a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://zeno-power.breezy.hr/p/9d9802cb68ec-senior-principal-systems-engineer", "externalId" : "9d9802cb68ec", "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", "remoteFriendly" : true, "summaryDescription" : "Senior/Principal Systems Engineer at Zeno Power", "createdAt" : "2026-06-14T00:44:48.707", "lastUpdated" : "2026-06-15T06:53:05.715", "ingestTimestamp" : "2026-06-14T00:44:48.707", "mongoId" : "69ce5d249bc74574cb661a82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 936.2869, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a475074d8ee00a05d9376", "title" : "Principal Systems Engineer", "company" : "HubSpot", "salary" : { "min" : 200000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Principal Systems Engineer in the Technology industry in the United States, adjusted for lead seniority and a large company size." }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-14T15:32:59.274", "fingerprint" : "3f66e31c83b101d97eb3c8b3995f3a9801ec0076ec3df07cb2bfc0ae7c0c401e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.hubspot.com/careers/jobs/7962567?gh_jid=7962567", "externalId" : "7962567", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Windows, Mac, VMware, Linux, AWS, GCP, GSuite, Okta, Ansible, Python", "professionalSkills" : [ "Systems engineering", "System operations", "Infrastructure support", "Application infrastructure" ], "hardSkillsList" : [ "Scripting", "Automation", "API integration", "Server automation", "Application monitoring" ], "softSkillsList" : [ "Curiosity", "Innovation" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Server automation", "level" : "intermediate" }, { "name" : "Application monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Innovation" } ], "majorSkills" : "Systems engineering, Cloud computing, Automation", "majorSkillsList" : [ "Systems engineering", "Cloud computing", "Automation" ], "coreResponsibilities" : "Support employee servicing servers, Scale employee servicing servers, Support 3rd party application infrastructure, Scale 3rd party application infrastructure, Assist in design, Assist in installation, Assist in maintenance, Assist in operational activities, Act as technical lead, Learn new technologies, Share knowledge with teammates, Communicate project activities, Develop tools to solve operational problems, Pull data from 3rd party API, Expand AWX/Ansible/Inventory automation infrastructure", "teamCollaboration" : "Project stakeholders; Teammates", "domainKnowledge" : "Employee servicing; 3rd party SaaS integrations; Cloud computing", "domainList" : [ "employee-servicing", "3rd-party-saas-integrations", "cloud-computing" ], "domainSpecificKnowledge" : [ "Employee servicing", "3rd party SaaS integrations", "Cloud computing" ], "toolProficiency" : [ "Ansible", "AWX", "Glean", "Claude", "JIRA", "Active Directory" ], "communicationSkills" : "Project communication", "continuousLearning" : "Learn new technologies; Share knowledge", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem resolution; Operational problems", "outcomesObjectives" : "Act as multiplier to growth; Act as multiplier to productivity", "qualificationsBasic" : "Built complex systems from start to finish, Python programming skills, Cloud computing administration experience, Fundamental knowledge of security best practices", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "POS-4029 We are currently searching for an enthusiastic and innovative Systems Engineer to work on our System Operations team supporting and scaling HubSpot’s employee servicing servers and 3rd party application infrastructure. We’re a small team of technology driven individuals with a curiosity for how things work and a passion for designing and building reliable, scalable, and efficient systems. We’re always striving to learn more, expand our skills and grow our teammates. Are you excited to develop scalable and robust solutions for the internal infrastructure challenges facing a growing global company? Do you possess a broad based technical foundation? Your ultimate goal will be to act as a multiplier to HubSpot's growth and employee productivity. Your ability to script, finesse different technologies to work together, and automate common tasks will be an advantage. As a Systems Engineer you will assist in design, installation, maintenance, and operational activities of the company’s internal infrastructure utilizing: Windows, Mac, VMware, and Linux operating systems AWS, GCP services 3rd Party SaaS integrations/APIs (e. g. GSuite, Okta, etc). 3rd Party Software (e. g. Glean, Claude, JIRA, Active Directory) Server automation (Ansible) Server and application monitoring In this role, you’ll get to: Act as a technical lead on select project implementations. Learn new technologies and share your knowledge with teammates. Communicate regularly with other project stakeholders regarding project activities including planning, progress, issues and problem resolution. Develop tools to solve operational problems (e. g. pulling data from a 3rd party API, expanding our AWX/Ansible/Inventory automation infrastructure capabilities) We are looking for people who: Have built complex systems from start to finish Python programming skills for scripting/automation/programming projects Cloud computing administration experience (AWS/GCP) Have strong fundamental knowledge of security best practices Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $156,000—$249,600 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.", "summaryDescription" : "Principal Systems Engineer at HubSpot. Skills: Systems engineering, Cloud computing, Automation. Support employee servicing servers. 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Experience integrating LLMs into ranking, retrieval, or personalization pipelines. 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Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Build the data and evaluation foundations that let these systems learn and improve with usage. Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.", "teamCollaboration" : "Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.", "continuousLearning" : "Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.", "innovationCreativity" : "Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.", "problemSolvingSkills" : "system design; debugging", "specialRequirements" : "For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.", "outcomesObjectives" : "Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "qualificationsBasic" : "Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.", "qualificationsPreferred" : "Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "summaryDescription" : "Member of Technical Staff (ML Engineer, Recommendations & User Modeling) at Perplexity. Skills: ML Engineer, Recommendations, User Modeling, LLMs, ranking systems. Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. 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Experience integrating LLMs into ranking, retrieval, or personalization pipelines. 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For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Job's mission As a Principal / Senior Engineer, Electrical Engineering at ASM, you will act as a technical lead for electrical systems within advanced semiconductor equipment. You will drive system-level design decisions, ensuring robust architecture, seamless integration, and high-performance delivery. By combining deep technical expertise with strong ownership, you will guide the development of complex systems from concept through production while influencing cross-functional engineering outcomes. What you will be working on Lead the design and development of electrical systems and sub-assemblies, setting technical direction and ensuring alignment with product architecture Lead fabrication and test of electrical test structures (ex. MOS capacitors, MIM capacitors, FETs) for semiconductor logic and memory applications Own system-level integration, ensuring electrical, mechanical, and control elements work cohesively to meet performance, safety, and reliability targets Define and validate digital and analog I/O architectures, enabling flexible, customer-specific configurations Drive technical decision-making across new product development, capital projects, and system improvements Review and approve engineering changes, ensuring technical integrity, risk mitigation, and adherence to timelines Act as a key contributor in design reviews, providing expert guidance and ensuring readiness for production release Define and oversee system validation strategies, including hardware testing, instrumentation, and performance verification Analyze, understand and interpret electrical test data (ex. CV, IV, Dit) to guide process development and integration of ASM's products such as ALD films Evaluate feasibility of new concepts and technologies, solving complex system-level challenges with a structured and innovative approach Influence and collaborate with global cross-functional teams, acting as the electrical domain expert Mentor and guide junior engineers, elevating technical capability within the team Drive high-quality technical documentation, reporting standards, and stakeholder alignment What we are looking for Master’s or PhD in Electrical and Electronics Engineering Minimum 5 years of experience in system engineering within semiconductor equipment manufacturing Strong expertise in electrical hardware design, system architecture, and integration (e.g., reactors, plasma sources, or similar systems) Proven ability to lead technical problem-solving and make system-level design decisions Proficiency in AutoCAD and data analysis tools such as JMP Hands-on experience in hardware testing, instrumentation, and system validation Ability to operate effectively in a fast-paced, global engineering environment Strong communication skills in English, with the ability to influence technical discussions What sets you apart Experience acting as a technical lead or subject matter expert on complex engineering projects Strong understanding of semiconductor processes and equipment architecture Experience defining or improving system validation strategies and test methodologies Familiarity with data analysis or scripting tools (e.g., Python) Proven track record of driving cost reduction, reliability improvements, or product innovation Experience working across regions or with international engineering teams Proactive, ownership-driven mindset with the ability to influence without formal authority Apply today to be part of what’s next. We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect. To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube. ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.", "summaryDescription" : "Principal / Senior Engineer II, Electrical Engineering at ASM", "postedDate" : "2026-06-15T23:24:49.897", "createdAt" : "2026-06-15T23:24:49.897", "lastUpdated" : "2026-06-16T10:04:18.993", "ingestTimestamp" : "2026-06-15T23:24:49.897", "mongoId" : "6a3067a5f292fd229cfc00f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 903.27405, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104422beec4dd3def285c", "title" : "Systems Development Engineer II", "company" : "Amazon Commercial Services", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, ecp", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Systems Development Engineer II in Sydney, Australia, adjusted for mid-level experience and the technology industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T03:35:11.828", "fingerprint" : "390d201865327dc49e8b73d38c27815b6a7aa4a3d37f832915afd681968dba9a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386247/apply", "externalId" : "b3bfcf01-a234-4364-927e-c549d4c58865", "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", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Ruby, Golang, Java, C++, C#, Rust, AWS", "professionalSkills" : [ "System design", "Technical trade-off decisions" ], "hardSkillsList" : [ "Infrastructure automation", "Infrastructure deployment", "Infrastructure support", "CI/CD pipelines" ], "softSkillsList" : [ "Autonomy" ], "hardSkills" : [ { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Infrastructure deployment", "level" : "intermediate" }, { "name" : "Infrastructure support", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" } ], "majorSkills" : "Systems development, Automation, AWS", "majorSkillsList" : [ "Systems development", "Automation", "AWS" ], "coreResponsibilities" : "Design scalable system components, Build scalable system components, Manage end-to-end solutions, Provide operational support, Own component architecture, Lead technical trade-off decisions, Resolve complex problems, Automate development workflows, Simplify development workflows, Automate testing workflows, Simplify testing workflows, Automate operational workflows, Simplify operational workflows, Develop automation systems, Build AWS-native applications, Monitor AWS-native applications", "teamCollaboration" : "Team of talented engineers", "domainKnowledge" : "Corporate infrastructure; IAC solutions; SaaS solutions", "domainList" : [ "corporate-infrastructure", "iac-solutions", "saas-solutions" ], "domainSpecificKnowledge" : [ "Corporate infrastructure", "IAC solutions", "SaaS solutions" ], "communicationSkills" : "Discuss technical decisions; Discuss technical concepts", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation", "qualificationsBasic" : "Experience programming modern language, Experience automating infrastructure, Experience deploying infrastructure, Experience supporting infrastructure, Experience with Linux/Unix, Experience with CI/CD pipelines", "qualificationsPreferred" : "Experience with distributed systems at scale", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Corporate Infrastructure Services Tools and Automation designs, builds and supports tooling, for the build, sustainment and monitoring of services in our corporate office estate. Our suite of tools range from automation tooling for site launch, network tooling, device mangement and monitoring as well as CRUD applications. We operate at a global scale achieving this through a blend of inhouse IAC solutions build on AWS technologies or leveraging Saas where appropriate. We are looking for a System Development Engineer to join in our mission to develop and support CIS services. As a Systems Development Engineer, you will work with a team of talented engineers to evolve our current tooling suite and expand our services as we push the develop new solutions which address our scale and complexity. This role requires someone who can design as well as deliver solutions derived from AWS building blocks. You are someone who looks for autonomy to delivery solutions and components independently. You are able to discuss technical decisions and concepts across a broad range of audiences. Key job responsibilities - Design and build scalable system components for automation, observability, and SaaS integrations. - Manage end-to-end solutions from initial design through to final delivery. - Provide operational support for owned systems, including participation in the on-call rotation. - Own component architecture and lead technical trade-off decisions. - Resolve root causes of complex problems using cross-domain technical expertise. - Automate and simplify development, testing, and operational workflows. - Develop automation systems for deployment and hardware lifecycle management. - Build and monitor AWS-native applications focused on corporate office space management. About the team Our customer is our business. We obsess over the end user experience, but we build our strategy based on the business's requirements Basic Qualifications: - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience in automating, deploying, and supporting large-scale infrastructure - Experience with Linux/Unix - Experience with CI/CD pipelines build processes Preferred Qualifications: - Experience with distributed systems at scale 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 II at Amazon Commercial Services. Skills: Systems development, Automation, AWS. Design scalable system components. 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This team provides services to Whole Foods Market, tackling some of the most complex projects that will deliver innovative technical advancements for the retail grocery industry. In this role, you will develop, deploy, and maintain reliable distributed solutions that operate at Amazon scale. You will balance operational excellence with innovation—enhancing existing infrastructure while building new features and services to meet evolving customer needs. You will work with core technologies including Java, Python, AWS services, and SQL and NoSQL databases. Your responsibilities span the full software lifecycle: designing scalable architectures, writing production code, optimizing system performance, resolving technical debt, and driving continuous improvement initiatives. This team owns both the stability of current production systems and the development of solutions. You will collaborate with cross-functional teams to deliver high-quality software that delights customers while maintaining the reliability and performance standards Amazon is known for. Key job responsibilities • Design, develop, and deploy distributed systems that handle millions of requests per day • Maintain and optimize existing production infrastructure to ensure 99.99% uptime • Participate in on-call rotation and respond to production incidents • Build features and services using Java, Python, and AWS technologies • Implement monitoring, alerting, and operational tools to improve system observability • Collaborate with cross-functional teams to define technical requirements and deliver solutions • Drive technical debt reduction initiatives and system modernization efforts • Mentor junior engineers and contribute to team technical standards About the team Our team is responsible for maintaining and enhancing existing production systems while driving new development initiatives. We balance operational excellence with innovation, ensuring our current infrastructure runs reliably while building next-generation solutions to meet evolving customer needs. Basic Qualifications: - 5+ years of non-internship professional software development experience - Bachelor's degree - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - 5+ years of IT platform implementation in a technical and analytical role experience, or AWS Professional level certification Preferred Qualifications: - 7+ years of non-internship professional software development experience - Experience with AWS services 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 - II at ADCI. Skills: Systems Development, Distributed Systems, AWS. Develop distributed solutions. Deploy distributed solutions", "postedDate" : "2026-06-13T08:34:21.339", "createdAt" : "2026-06-13T08:34:21.339", "lastUpdated" : "2026-06-15T02:23:10.027", "ingestTimestamp" : "2026-06-13T08:34:21.339", "mongoId" : "69f46f044c40e2acd1b368dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408604/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "System performance optimization", "Mentoring", "Systems Development", "Distributed Systems", "AWS", "System design", "Operational excellence", "Retail grocery industry", "Cloud scale", "AWS Professional certification" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 890.507, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail Grocery" }, { "id" : "6a2cd32174d8ee00a0a35b5c", "title" : "Principal Project Manager - Hydraulic Modeling", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Principal Project Manager in Engineering in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Engineer (PE) license" ], "timestamp" : "2026-06-15T09:09:13.796", "fingerprint" : "aafae3613aec6b600d41e4f1f3cb5bd7a08ab11fe8d9d8194078a4d9ce87d1ca", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783993", "externalId" : "783993", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Hydraulic modeling, Wastewater collection, Water distribution", "professionalSkills" : [ "Project management", "Client relationship management", "Contract administration", "Technical consulting", "Subcontract management", "Risk assessment", "Scope development", "Schedule development", "Budget development" ], "hardSkillsList" : [ "Hydraulic modeling software" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Hydraulic modeling software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "Hydraulic modeling, Project management, Utility management", "majorSkillsList" : [ "Hydraulic modeling", "Project management", "Utility management" ], "coreResponsibilities" : "Pursue utility management projects, Plan utility management projects, Manage utility management projects, Deliver utility management projects, Lead North Carolina modeling services, Collaborate with technical leaders, Collaborate with operations leaders, Collaborate with market sector directors, Collaborate with project managers, Collaborate with project teams, Engage with local project teams, Assist in Go/No-Go discussions, Assist in project risk assessments, Assist with SOQs, Assist with proposals, Assist with interviews, Assist with negotiations, Participate in client presentations, Participate in conference presentations, Provide project delivery support, Manage contracts, Manage subcontracts, Participate in AWWA, Participate in WEF, Participate in NC One Water, Mentor employees, Develop employees", "teamCollaboration" : "Client relationship management; Client presentations; Conference presentations; Teaming partners", "projectManagementSkills" : [ "Project management", "Scope development", "Schedule development", "Budget development", "Contract administration", "Subcontract management" ], "domainKnowledge" : "Wastewater collection systems; Water distribution systems; Utility management", "domainList" : [ "wastewater-collection-systems", "water-distribution-systems", "utility-management" ], "domainSpecificKnowledge" : [ "Wastewater collection systems", "Water distribution systems", "Utility management" ], "toolProficiency" : [ "ArcGIS Pro" ], "communicationSkills" : "Client presentations; Conference presentations", "continuousLearning" : "Grow technical skills; Grow professional skills", "problemSolvingSkills" : "Risk assessment", "qualificationsBasic" : "15 years progressive experience, Utility hydraulic modeling experience, Infrastructure engineering design experience", "qualificationsPreferred" : "Professional Engineer (PE) license, MS in Civil or Environmental Engineering, Wastewater collection system modeling knowledge, Water distribution system modeling knowledge, Experience working for utility, Experience working for municipal utility, Experience working for investor-owned utility, Experience working for public works department, Experience working for engineering consulting firm, Local candidates preferred", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you’ll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience. We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people’s lives. This isn’t just a job, it's a chance to lead change, drive progress, and leave a lasting legacy. HDR is looking for a Hydraulic Modeling Principal Project Manager to join our North Carolina Water Business Group. The successful candidate will be involved with all aspects of our Water Business Group program. This position will collaborate with and leverage HDR staff across the company and teaming partners to develop solutions for our clients. The primary duties of this position include pursuing, planning, managing, and delivering all aspects of utility management projects. They will also be expected to: • Actively lead our growing North Carolina modeling services. • Collaborate with HDR technical leaders, operations leaders, market sector directors, project managers, and project teams to deliver world class quality modeling services. • Actively engage with the local project teams and assist in Go/No-Go discussions, project risk assessments, SOQs, proposals, interviews, and negotiations as required. • Participate in client relationship management, client presentations, conference presentations, and interviews. • Participate in scope, schedule, and budget development for projects.  • Provide project delivery support including planning, contract administration and management, technical consulting, and subcontract management. • Actively participate in AWWA or WEF and NC One Water. • Mentor and develop other employees. • Perform other duties as needed. Preferred Qualifications • Professional Engineer (PE) license in North Carolina • MS in Civil or Environmental Engineering or related field • Minimum of 15 years of progressive experience in utility hydraulic modeling and infrastructure engineering design • Knowledge and experience with wastewater collection system and/or water distribution system hydraulic modeling software • Willing to learn and grow technical and professional skills to meet client and market needs • Must have excellent communication skills and thrive working in a team environment • Prior experience leading teams, managing projects, assisting with project budgeting • Proficiency in ArcGIS Pro, mapping and analysis • Experience working for a public, municipal, or investor-owned water and/or wastewater utility, public works department, or engineering consulting firm is beneficial • Local candidates are preferred *LI-SM1 ", "summaryDescription" : "Principal Project Manager - Hydraulic Modeling at HDR. Skills: Hydraulic modeling, Project management, Utility management. Pursue utility management projects. 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Key job responsibilities • Serve as the primary talent advisor to Directors and VPs, educating leaders on the external senior engineering talent landscape and market dynamics • Define and deliver recruiting strategies for highly-critical, sometimes confidential roles with broad cross-organizational impact • Identify and engage highly passive senior engineering candidates through creative, research-driven sourcing strategies • Build and cultivate robust talent networks across technology sectors, leveraging deep industry knowledge and relationships • Lead client update meetings on active searches, providing clear, data-driven insights on progress and market conditions • Provide candid guidance to executive leadership on matters related to top technical talent • Make sound judgments about candidate fit based on comprehensive analysis of technical depth and leadership impact • Conduct thorough candidate assessments, participate in debriefs, perform comprehensive reference checks, and present/negotiate employment offers • Coach leaders to continuously improve their talent acquisition capabilities at the senior level • Set exceptionally high standards for search quality, candidate experience, and recruiting excellence • Investigate deeply into technical domains, candidate backgrounds, and market trends to inform strategy A day in the life Your day begins with strategic planning sessions discussing talent gaps and market intelligence for critical Principal Engineer searches. You'll spend time researching and engaging passive candidates through personalized outreach, leveraging your extensive network and industry knowledge. Mid-day might involve leading a client update meeting where you present market analysis and candidate pipeline progress, followed by conducting in-depth technical assessments with potential candidates. You'll collaborate with your team of recruiters and researchers, sharing insights on emerging talent pools and coaching colleagues. Afternoons often include candidate debriefs with hiring teams, where you provide perspective on technical depth and leadership potential. You'll also dedicate time to building relationships with industry leaders and technical communities, staying ahead of market trends. Throughout the day, you'll make high-stakes decisions with incomplete information, balancing urgency with thoroughness to secure world-class engineering talent. About the team The Global Specialty Recruiting (GSR) team partners with technical and business leaders across all of Amazon's businesses to hire the company's most senior engineering talent. Our team specializes in recruiting Principal Engineers and Senior Principal Engineers– Amazon's most senior technical contributors who set the standard for engineering excellence and drive innovation across the company. Basic Qualifications: - 7+ years of progressive corporate or search firm recruiting work with a focus on passive engineering candidate generation in a high tech market experience - Bachelor's degree or above - • Demonstrated ability to recruit and hire engineering candidates. - • Proven track record of managing complex executive search processes including client management, candidate development, and offer negotiation - • Experience working with senior executives and providing strategic talent counsel Preferred Qualifications: - Experience with executive recruiting in either a blue-chip, global in-house executive search team, or a top executive search firm - Deep expertise in technology recruiting with ability to quickly learn new technical and product domains - Experience mentoring and developing other recruiters 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 - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Senior Recruiter, Principal Engineer Recruiting, PE Recruiting at Amazon.com Services LLC. Skills: Principal Engineer Recruiting, Executive search, Talent advisory. Serve as talent advisor. 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Agile development methodology; Daily stand-ups; Sprint planning sessions; Weekly reviews", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Mission-critical network services; AWS Isolated cloud; US Intelligence; Department of Defense; Cloud-native architecture", "domainList" : [ "mission-critical-network-services", "aws-isolated-cloud", "us-intelligence", "department-of-defense", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Mission-critical network services", "AWS Isolated cloud", "US Intelligence", "Department of Defense", "Cloud-native architecture" ], "toolProficiency" : [ "AWS", "Terraform", "Docker", "Kubernetes" ], "communicationSkills" : "Technical leadership", "continuousLearning" : "Knowledge-sharing; Mentorship", "innovationCreativity" : "Innovative product development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "US Citizen, TS/SCI with Polygraph, Opt into clearance, On call rotation", "outcomesObjectives" : "Ensure operational excellence; Ensure reliability; Ensure scalability; Maintain persistent connection; Maintain highest standards availability; Maintain highest standards performance", "qualificationsBasic" : "3+ years software development experience, 3+ years networking, storage, OS experience, 2+ years systems design/architecture, Experience programming modern language, TS/SCI with Polygraph clearance", "qualificationsPreferred" : "Bachelor's degree, CSSLP certification, 6+ years systems engineering experience, Experience building AWS services, Experience with AWS cloud DevOps", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Mission Edge Connectivity service enables AWS Cloud connectivity options for US Intelligence and Department of Defense customers. These connectivity options allow our customer to deploy and run their isolated, sensitive workloads in an environment exclusive for their use-case. We help our customers to onboard, manage, and scale their connectivity options for maintaining persistent connection to AWS Isolated cloud AWS Mission Networking Edge Connectivity is seeking a Systems Development Engineer II to design and implement systems that ensure operational excellence, reliability, and scalability of mission-critical network services for US government customers. In this role, you will design and implement systems that ensure operational excellence, reliability, and scalability of the AWS Mission Networking service infrastructure. You'll develop automation frameworks and tools that enable efficient service deployment, monitoring, and management across multiple regions and availability zones. Your expertise in systems integration, DevOps practices, and site reliability engineering will directly impact how AWS delivers mission-critical network services to government customers. You will collaborate with cross-functional teams to architect resilient systems, automate operational workflows, and establish best practices for service reliability. By building sophisticated automation and monitoring systems, you'll ensure that critical customer connections maintain the highest standards of availability and performance. Your work will span infrastructure provisioning, deployment automation, operational tooling, and service observability. If Arlington HQ (HQ2): This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. This position requires that the candidate selected must be a US Citizen and 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. 10012 Key job responsibilities - Design and implement systems automation, infrastructure-as-code, and deployment pipelines for AWS Mission Networking services across multiple regions - Build operational tooling and monitoring systems that enable efficient service management, troubleshooting, and incident response - Architect and develop site reliability engineering (SRE) practices, including runbooks, alerting strategies, and automated remediation systems - Collaborate with cross-disciplinary teams to integrate AWS Mission Networking systems with AWS infrastructure, third-party solutions, and government customer environments - Establish and maintain operational standards for service availability, performance, and security; drive continuous improvement through metrics and data analysis - Mentor teammates on systems engineering best practices, operational excellence, and automation techniques - Participate in on call rotation in support of our services, providing technical leadership during incidents A day in the life Our team follows an Agile development methodology with a strong emphasis on operational excellence. Team members participate in daily stand-ups and biweekly sprint planning sessions focused on automation, infrastructure improvements, and reliability initiatives. We conduct weekly reviews of operational metrics and reliability targets to align systems engineering efforts with organizational goals. Systems Development Engineers, Program Management (PM) teams, and Single-Threaded Owners (STOs) collaborate to define and execute infrastructure and automation projects. Each engineer serves as on-call support approximately between four to eight weeks per year to maintain our service availability targets and respond to operational incidents. About the team Why AWS? 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 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. About 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 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 in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 6+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Experience building services using AWS products - Experience utilizing AWS cloud solutions in a DevOps environment 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, VA, Arlington - 129,200.00 - 174,800.00 USD annually USA, VA, Herndon - 129,200.00 - 174,800.00 USD annually", "summaryDescription" : "Systems Development Engineer II at Amazon Development Center U.S., Inc.. Skills: Systems development, Network services, Automation frameworks, Site reliability engineering. Design systems automation. Implement systems automation", "postedDate" : "2026-06-13T03:11:00.302", "createdAt" : "2026-06-13T03:11:00.302", "lastUpdated" : "2026-06-15T01:37:40.909", "ingestTimestamp" : "2026-06-13T03:11:00.302", "mongoId" : "69cf3f092beec4dd3d934393", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381147/apply", "salaryAnnualMin" : 129200, "salaryAnnualMax" : 174800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Systems automation", "Infrastructure-as-code", "Deployment pipelines", "Operational tooling", "Monitoring systems", "Service management", "Incident response", "Runbooks", "Alerting strategies", "Automated remediation", "Service reliability", "Service availability", "Performance metrics", "Data analysis", "Mentoring", "Systems development", "Network services", "Automation frameworks", "Site reliability engineering", "Systems integration", "DevOps practices", "Systems engineering", "Agile", "Scrum", "Mission-critical network services", "AWS Isolated cloud", "US Intelligence", "Department of Defense", "Cloud-native architecture", "CSSLP", "AWS", "Terraform", "Docker", "Kubernetes" ], "skillCount" : 34, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 873.3596, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3057b0f292fd229cf3d1ad", "title" : "Model-Based Systems Engineer", "company" : "STR", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model-Based Systems Engineer in Arlington, United States, adjusted for the technology industry and company size." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Dayton", "Ohio", "United States", "Woburn", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:27:42.989", "fingerprint" : "4c6e54a66b20b9ef01387c586df853cc9587bf0075fa02b8d86b7bd5d687c7e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/systemstechnologyresearch/jobs/4688995006", "externalId" : "4688995006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "rawDescription" : "STR is hiring a Model-Based Systems Engineer (MBSE) to work across a broad portfolio of DoD mission areas. The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, a deep understanding of Systems Engineering principles, reverse engineering techniques, and the ability to work with complex software systems and the utilization of Digital Engineering/MBSE to accomplish program goals. The candidate will support STR’s Systems Development Division to achieve architectural integrity and traceability from requirements analysis through system and software development and production system deployment. This position offers the opportunity to work with leading domain experts developing solutions to solve the most challenging national security problems. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. The ideal candidate will be experienced in Systems Engineering processes and techniques, Modeling and Simulation, software-based systems, Digital Engineering/MBSE and be excited about opportunities to grow and be a source of subject matter expertise across the organization. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs at STR will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software systems background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Utilize your Systems Engineering skillset as part of a tightly knit team to design, develop, implement, and deploy advanced software systems Analyze, reverse-engineer, derive, and define requirements from ambiguous or incomplete software system implementations and codebases Develop/generate documentation (e. g. Systems Requirements Document, SysML models) to capture requirements of new and existing systems Perform gap analysis between derived requirements and current system capabilities to identify missing features or functionalities Assist other technical contributors throughout the software lifecycle, from early prototypes to fully integrated systems Implement MBSE approaches using SysML in Cameo Work closely with domain experts and software development teams to realize program designs for a diverse set of applications, including: Distributed mission planning Intelligence Surveillance Reconnaissance (ISR) management Decision making support to human analysts/planners This position is based in one of our offices but will take advantage of STR’s flexible, hybrid environment: we anticipate that you could work remotely as much as 25% of the time Any time work does not require use of STR’s facilities, you are welcome to work remotely Who you are: This position requires an Active DoD Top Secret Clearance with SCI eligibility, for which U. S. citizenship is needed by U. S. Government BS, MS or PhD in Systems Engineering, Computer Science, Aerospace Engineering, Electrical Engineering, or a related technical field Experience implementing open architectures and integrating with large scale software-intensive systems and platform systems Strong ability to derive requirements from existing software and capture new customer requirements, and translate those into development tasks for software teams Comfortable working in dynamic environments and adjusting to changing priorities Minimum of 2 years work experience as a Systems Engineer or related field Experience architecting systems using system modeling tools (SysML in Cameo) Even Better: Domain expertise or familiarity with one or more of the following areas is highly desirable: Sea, air, and space platforms, mission planning, and C2 systems Sensor Resource Management Electronic Warfare Software deployment in cloud-based systems Government Open System Architectures (UCI, OMS, COARPS) 5+ years of experience in architecting systems using system modeling tools (SysML in Cameo) Experience porting models/designs from SparxEA to Cameo Experience in Java, Python, or object-oriented programming languages Agile software development experience and/or certification Pay Information Full-Time Salary Range: $110,000 - $150,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.", "summaryDescription" : "Model-Based Systems Engineer at STR", "postedDate" : "2026-06-15T23:22:53.102", "createdAt" : "2026-06-15T23:22:53.102", "lastUpdated" : "2026-06-16T08:27:42.989", "ingestTimestamp" : "2026-06-15T23:22:53.102", "mongoId" : "6a3057b0f292fd229cf3d1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 873.3417, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d90f974d8ee00a0c38089", "title" : "Principal Modeller", "company" : "AtkinsRéalis", "industry" : "Consulting", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Principal Modeller in Manchester, UK, adjusted for the consulting industry and AtkinsRéalis's company size." }, "location" : "GB.Manchester.Piccadilly", "locations" : [ "GB.Manchester.Piccadilly", "United Kingdom" ], "timestamp" : "2026-06-16T05:03:09.954", "fingerprint" : "d576aff218186baf370c9d3ffde1612bc23e3d8dcaf95c6f324dcc9f5a95af73", "source" : "workday", "language" : "en", "applyUrl" : "https://slihrms.wd3.myworkdayjobs.com/Careers/job/GBManchesterPiccadilly/Principal-Modeller_R-155819", "externalId" : "R-155819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "Manchester, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CUBE, SATURN, EMME/2, VISUM, Demand modelling", "professionalSkills" : [ "Strategic advice", "Oversight", "Guidance" ], "hardSkillsList" : [ "Transport modelling", "Economic evaluation" ], "hardSkills" : [ { "name" : "Transport modelling", "level" : "intermediate" }, { "name" : "Economic evaluation", "level" : "intermediate" } ], "majorSkills" : "Transport planning, Modelling support", "majorSkillsList" : [ "Transport planning", "Modelling support" ], "coreResponsibilities" : "Provide transport modelling support, Deliver a range of projects, Assess bus interventions, Assess rail interventions, Assess road interventions, Assess active travel initiatives, Assess public realm initiatives, Contribute to projects at national scale, Support clients' digital transformation, Develop new initiatives for Net Zero, Provide strategic advice to clients, Provide oversight to modelling teams, Provide guidance to modelling teams, Develop complex models, Apply complex models", "teamCollaboration" : "Multi-disciplinary teams; Wider national business", "domainKnowledge" : "Movement & Place; Transport Planning; Local Transport Plans; Transport schemes; Highway modelling; Rail modelling; Bus modelling; Active travel; Public realm; Net Zero commitments", "domainList" : [ "movement-place", "transport-planning", "local-transport-plans", "transport-schemes", "highway-modelling", "rail-modelling", "bus-modelling", "active-travel", "public-realm", "net-zero-commitments" ], "domainSpecificKnowledge" : [ "Movement & Place", "Transport Planning", "Local Transport Plans", "Transport schemes", "Highway modelling", "Rail modelling", "Bus modelling", "Active travel", "Public realm", "Net Zero commitments" ], "toolProficiency" : [ "CUBE", "SATURN", "EMME/2", "VISUM", "COBA", "TUBA" ], "communicationSkills" : "Report writing", "continuousLearning" : "Training opportunities; Professional development", "innovationCreativity" : "Developing new initiatives", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Security clearance, 5 years UK residency", "qualificationsBasic" : "Analytical skills, Numeracy skills, Problem-solving skills, Excellent communication skills, Report writing capability, Sound technical competence, Ability to work under pressure, Proven success in meeting deadlines, Confident team worker, Ability to work independently, Experience of working to time and budget constraints", "qualificationsPreferred" : "Experience of working to time and budget constraints", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "### **Job Description** ## Overview Are you ready to take up a vital role in shaping some of our exciting projects? How about joining our talented team, where everyone has a voice, and together we face our clients' problems head-on. It's a diverse and inclusive work environment where world-class talent knows no distinctions. We know that different people have different priorities, which is why we're here to support you. Flexible and remote working is a central part of our culture. So, talk to us about what's ideal for you – from reduced weeks to buying more leave over school holidays. And if you're returning from a career break, ask us how we can help you transition back into work with us. We are recruiting an individual for our Movement & Place (Transport Planning) discipline to provide transport modelling support to help deliver a range of projects across the North of England, Scotland and Northern Ireland. We are in the process of delivering a number of Local Transport Plans and are utilising the latest modelling tools and appraisal techniques to assess bus, rail and road interventions as well as active travel and public realm initiatives. Our regional team also works across our national business and therefore contribute to projects at a national scale for many other local and national government bodies and the private sector. We are also working closely with our clients to support their digital transformation and are developing new initiatives to help them deliver on their Net Zero commitments. ## Your role We are looking for an experienced individual who wishes to contribute to a high performing, dynamic team that works seamlessly with our wider national Movement & Place business. Collaborating with specialists from across our business as part of multi-disciplinary teams, you’ll work on flagship regeneration, development and infrastructure projects. The successful candidate will join a team with a well-balanced blend of skills focused on meeting our client needs. We are looking for an enthusiastic individual to add further value and support our ambitious growth agenda. ## About you The successful candidate will be able to provide strategic advice to our clients on their modelling requirements and provide oversight and guidance to our modelling teams in the development and application of complex models. Applicants will be flexible, self-motivated and will be expected to demonstrate a capability in any of the following: * Strong analytical, numeracy and problem-solving skills. * Excellent communication skills with strong report writing capability. * Sound technical competence. * Ability to work under pressure and proven success in meeting deadlines. * Confident team worker with ablity to work independently. * Experience of working to time and budget constraints. Candidates will be expected to demonstrate technical skills and competencies commensurate with their level of experience in areas such as: * Using strategic modelling packages such as CUBE, SATURN, EMME/2 and VISUM across highway or other modes. * Demand modelling. * Experience of economic evaluation of transport schemes using COBA and/or TUBA. ## Rewards & benefits Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. [Be rewarded. Find out more.](https://careers.atkinsrealis.com/total-reward-uk) ## About AtkinsRéalis We're [AtkinsRéalis](https://careers.atkinsrealis.com/), a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. [Find out more.](https://careers.atkinsrealis.com/) ## Additional information **Security clearance** This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. **#LI-UK#LI-ATKINS #LI-Transportation** ### **Worker Type** Employee ### **Job Type** Regular _At_ _AtkinsRéalis_ _, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences._", "summaryDescription" : "Principal Modeller at AtkinsRéalis. Skills: Transport planning, Modelling support. Provide transport modelling support. Deliver a range of projects", "postedDate" : "2026-06-11T21:24:10.220", "createdAt" : "2026-06-14T21:24:10.210", "lastUpdated" : "2026-06-16T05:03:09.954", "ingestTimestamp" : "2026-06-14T21:24:10.210", "mongoId" : "6a2d90f974d8ee00a0c38089", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://slihrms.wd3.myworkdayjobs.com/Careers/job/GBManchesterPiccadilly/Principal-Modeller_R-155819", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Transport modelling", "Economic evaluation", "Transport planning", "Modelling support", "Strategic advice", "Oversight", "Guidance", "Movement & Place", "Transport Planning", "Local Transport Plans", "Transport schemes", "Highway modelling", "Rail modelling", "Bus modelling", "Active travel", "Public realm", "Net Zero commitments", "CUBE", "SATURN", "EMME/2", "VISUM", "COBA", "TUBA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 846.1348, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a198ed258b93c861e581287", "title" : "Parachute Modeling Engineer", "company" : "Intuitive Machines", "industry" : "Government", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Parachute Modeling Engineer in Houston, TX, adjusted for the technology industry and company size." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-15T09:48:30.881", "fingerprint" : "85052ccd13d5322c5b432ea1f9812cdf2326c5d2389172cd4bf6540743ed4c4b", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324779", "externalId" : "324779", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Software development, Flight mechanics, Multi-body simulations, Julia, C++, Linux, Git, GitLab", "professionalSkills" : [ "Requirements documentation", "Design improvements" ], "hardSkillsList" : [ "Parachute modeling", "Flight mechanics modeling", "6-DOF simulations", "Multi-body simulations", "Spacecraft performance analysis", "Simulation verification", "Simulation validation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Parachute modeling", "level" : "intermediate" }, { "name" : "Flight mechanics modeling", "level" : "intermediate" }, { "name" : "6-DOF simulations", "level" : "intermediate" }, { "name" : "Multi-body simulations", "level" : "intermediate" }, { "name" : "Spacecraft performance analysis", "level" : "intermediate" }, { "name" : "Simulation verification", "level" : "intermediate" }, { "name" : "Simulation validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Parachute modeling, Flight mechanics simulations, Software development", "majorSkillsList" : [ "Parachute modeling", "Flight mechanics simulations", "Software development" ], "coreResponsibilities" : "Develop parachute system model, Integrate model into simulations, Collaborate with subject matter experts, Plan parachute drop tests, Reconstruct parachute drop tests, Reconstruct system performance, Assist with system analyses, Assess touchdown conditions, Assist with executing simulations, Perform verification, Perform validation, Develop requirements documentation, Provide recommendations for improvements", "teamCollaboration" : "NASA civil servants; Contractor employees; Collaborative engineering team", "projectManagementSkills" : [ "Organize tasks", "Prioritize tasks", "Meet deadlines", "Meet schedules" ], "domainKnowledge" : "Human space exploration; Deep space exploration; Orion Program; Artemis Program; Commercial Crew programs; Flight mechanics; Parachute systems; GN&C system; Spacecraft flights", "domainList" : [ "human-space-exploration", "deep-space-exploration", "orion-program", "artemis-program", "commercial-crew-programs", "flight-mechanics", "parachute-systems", "gn-c-system", "spacecraft-flights" ], "domainSpecificKnowledge" : [ "Human space exploration", "Deep space exploration", "Orion Program", "Artemis Program", "Commercial Crew programs", "Flight mechanics", "Parachute systems", "GN&C system", "Spacecraft flights" ], "toolProficiency" : [ "Git", "GitLab", "Microsoft Office" ], "communicationSkills" : "Written documents; Verbal presentations", "documentationSkills" : "Requirements documentation", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Proof of U.S. Citizenship, US Permanent Residency, Background investigation, Lifting up to 25 lbs", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience, Experience with 6-DOF simulations, Experience with multi-body simulations, Experience with software development, Experience developing parachute models, Experience verifying parachute models, Experience validating parachute models, Experience analyzing spacecraft performance, Experience with Git/GitLab, Excellent communication skills, Able to work in a team, Interpersonal skills, Ability to organize tasks, Ability to prioritize tasks, Ability to prepare written documents, Ability to verbally present, Experience with Microsoft Office", "qualificationsPreferred" : "5 years related engineering experience, Master's degree, 4 years related engineering experience, PhD, 0 years related experience, PhD in Aerospace Engineering, Focus on flight mechanics, Proficiency in Julia, Proficiency in C++, Proficiency in Linux, Experience with software design", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Parachute Modeling Engineer to join the team with Intuitive Machines, a teammate company. This position will work on NASA's Development and Analysis Team, which provides software development and analytic support for a variety of NASA and commercial programs, including Orion and the Artemis Program. The selected applicant will: Develop a state-of-the-art multi-body parachute system model, including parachute deployment, inflation, and full-open flight, for use on the Orion and Commercial Crew programs and future programs. Integrate the multi-body parachute system model into NASA's flight mechanics simulation (Julia) and NASA Trick-based simulations (C++). Collaborate with parachute analysis subject matter experts to plan and reconstruct parachute drop tests and reconstruct the parachute system performance from spacecraft flights. Assist the GN&C team in performing parachute system analyses, including assessments of the touchdown conditions. Assist the parachute analysis team with executing simulations on our High-Performance Computing (HPC) system. Perform verification and validation for flight mechanics models and simulations. Develop requirements documentation for flight mechanics models and simulations. Provide recommendations for improvements in design and software development processes. Perform other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor's degree in Engineering and a minimum of 2- 5 years of experience in the field or in a related area. Experience with 6-DOF and multi-body flight mechanics simulations. Experience with software development (any language). Experience developing, verifying, and validating parachute simulation models. Experience analyzing spacecraft performance. Experience in product delivery utilizing source code management tools such as Git/GitLab. Excellent communication skills. Able to work in a team environment consisting of NASA civil servants and contractor employees. Strong interpersonal skills to enable successful performance in a collaborative engineering team. Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision. Ability to prepare written documents and to verbally present at various meetings. Experience with Microsoft Office products. Requisition Preferences: A bachelor's degree in engineering from an ABET accredited engineering school with five (5) years of related engineering experience, a master's degree from an accredited engineering school and four (4) years of related engineering experience, or a Ph.D. from an accredited engineering school and zero (0) years of related experience. PhD in Aerospace Engineering with a focus on flight mechanics. Proficiency in Julia, C++, and Linux. Experience with software design. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Parachute Modeling Engineer at Intuitive Machines. Skills: Parachute modeling, Flight mechanics simulations, Software development. Develop parachute system model. Integrate model into simulations", "createdAt" : "2026-06-14T07:12:44.765", "lastUpdated" : "2026-06-15T09:48:30.881", "ingestTimestamp" : "2026-06-14T07:12:44.765", "mongoId" : "6a198ed258b93c861e581287", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Parachute modeling", "Flight mechanics modeling", "6-DOF simulations", "Multi-body simulations", "Spacecraft performance analysis", "Simulation verification", "Simulation validation", "Leadership", "Flight mechanics simulations", "Software development", "Requirements documentation", "Design improvements", "Organize tasks", "Prioritize tasks", "Meet deadlines", "Meet schedules", "Human space exploration", "Deep space exploration", "Orion Program", "Artemis Program", "Commercial Crew programs", "Flight mechanics", "Parachute systems", "GN&C system", "Spacecraft flights", "Git", "GitLab", "Microsoft Office" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 846.06415, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc3ad74d8ee00a0a0a1f0", "title" : "Principal Power Systems Engineer", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 162500.0, "max" : 219900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T01:04:29.769", "fingerprint" : "a9f10b64969caaa0b4775ff6789b0d7e44d4a3c0ad088b862fe00b03a88cef6e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447958/apply", "externalId" : "e79e4492-f3ff-4589-aa1b-da6b985b324e", "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", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Are you passionate about large power infrastructure systems? Do you love to innovate, discover, and apply your knowledge to advance world-class systems? Do you get excited about the idea of pushing the boundaries of power systems to handle the latest emerging technology? We are seeking an experienced electrical engineer with extensive experience in power infrastructure design, including power generation and power systems, with a deep understanding of the physics and mathematics of energy systems to support our growing requirements for novel solutions to delivering power to AWS data centers. We are looking for candidates with proven ability to influence technical teams, a track record of delivering complex power systems from design and specification through deployment, and a deep understanding of energy and power systems. The Principal Power System Engineer provides the vision, rationale, and recommendations to leadership teams from AWS and our partners for next-generation data center power design, while ensuring current systems meet performance and operational standards. You understand key problems and propose and analyze multiple solutions to produce the most efficient, cost-effective, resilient, and scalable electrical designs achievable. You routinely stay ahead of the latest technology developments and build engineering strategies that will meet the most demanding requirements. At Amazon Web Services (AWS), our data centers are industry leading examples of innovation in the areas of data center critical infrastructure design, space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market, reliability, and lowest total cost of ownership. Our Engineers are on the forefront of creating and delivering the most innovative products to our customers and are known for being a diverse and upbeat team that is continually improving the world of cloud computing. We continue to grow and are looking for individuals that can support our mission, enjoy a challenge, and have a desire for professional growth and continuous learning. AWS’s work environment is unique and offers an exceptional opportunity for the right candidate. If you are a creative, smart, and driven individual that enjoys working with complex problems, we want YOU! As a Principal Power Systems Engineer, you will serve as the Subject Matter Expert and technical leader within the Power Generation Solutions team for advanced electrical systems, microgrid implementations, and optimization efforts to maximize the capacity out of our systems. You will own complex and ambiguous problems that span multiple teams and drive technical decisions that impact AWS’ global infrastructure strategy. You will lead the technical strategy of different power and energy configurations, including new strategies and technologies to ensure that we can exceed our customers expectations for delivering power to our data centers. You work across multiple organizations, including utility-facing teams, data center and hardware engineering teams, compute and software teams, operations, finance, legal, and public policy teams to advance new concepts. Additionally, you will have a role in defining power generation designs and evaluating designs against AWS’ strict requirements for safety, availability, cost, and sustainability impacts. This may include equipment selection and sizing, conceptual design development, creating single line diagrams, specifications, and participate in project development. Your technical expertise on power systems will guide cross-functional teams in making critical design decisions, evaluating trade-offs, and managing technical risks across complex power systems. As a Principal Power Systems Engineer, you are a leader in your field, working within and overseeing the work of cross-functional teams that include: technical program management, mechanical engineering, electrical engineering, control engineering, supply chain management, operations, end users, safety, and security. Amazon has a global presence, therefore, domestic and international travel may be necessary. Teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and collaborate with others to accomplish the required tasks. This includes working with internal groups as well as external suppliers and consultants, including utilities, manufacturers, vendors, and contractors. Key job responsibilities As a Principal Power Systems Engineer on the Power Generation Solutions team, you will be responsible for: • You understand current and emerging scalable power and energy technologies, and how to apply them to solve emerging challenges in power system design • You understand current trends in data center power demands and grid integration of large loads • Have a deep understanding of analytical methods for evaluating power demands throughout the data center architecture and means to maximize capacity and utilization • Understand grid interconnection standards and requirements, including working on microgrid design and controls, and distributed energy resources • Leads the team in developing test requirements to ensure solutions meet AWS’ high standards for quality and availability and set the expectation for quality in the engineering team • You oversee and plan engineering goals for key initiatives that support future projects and growth and build engineering strategies. You conceive, initiate, and lead projects with widespread impact on infrastructure design, innovation, and implementation. • Understanding the design and functionality of the global data center fleet, including existing, upcoming, and unique site designs • Provide input and direction to Data Center Engineering teams for design revisions for new data centers as well as to Field Engineering for operational data center upgrades to meet critical strategic requirements • You demonstrate ability to review business cases and analysis models including Total Cost of Ownership (TCO) and Return on Investment (ROI) to select projects and designs • You decompose complex problems or new technologies or topologies to distill underlying risks and benefits, and identify straightforward and actionable solutions to reduce risk • Create and lead the development of power generation configurations for different applications, including primary, temporary, or backup power • You work independently and have frequent reviews with business leadership, other Principal Engineers, and Sr Engineers across AWS • You actively facilitate the escalation of low-level project and product issues to senior engineering and business leadership • Working on concurrent projects in multiple geographical regions • Being a leader within the group as well as within other teams. You actively grow and coach the engineering team through group forums and one-on-one coaching and mentoring to ensure development and promotion of the top engineers inside Amazon • Being positive and offer creative, out of the box solutions • Continuously learning curious about how things work, and willing to test and push new ideas • Having fun and working hard! About the team The Power Generation Solutions team creates and delivers product and engineering solutions in for power and energy to help advance AWS’ mission to deliver world-leading cloud services. Our solutions are guided by four main principles; unlocking capacity growth, maintaining high infrastructure uptime, minimizing infrastructure costs, and advancing our net-zero carbon Climate Pledge. To deliver these solutions, our team provides technical input to realize a shared vision and strategy with partner teams and provides engineering support across the project or product lifecycle to deliver the solution. We also provide grid analytics and manage and develop models for determining the total energy and water use within our fleet of data centers and work with partners on improving overall performance. Basic Qualifications: - 10+ years of experience with power systems and electrical design with at least 5 years in data centers or high availability, mission-critical applications - Bachelor’s Degree in Electrical Engineering or equivalent experience - In-depth knowledge of continuous operating redundant electrical systems and power infrastructure. This includes but is not limited to; uninterruptable power sources, medium and low voltage electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches. - Experience and knowledge of power generations equipment, systems, controls, including, but not limited to; diesel generators, distributed energy resources, gas turbines, battery energy storage systems. - Extensive experience in electrical power design, including interpreting wiring diagrams, single and three-line diagrams, P&ID drawings, , sequence of operations, and electrical drawing packages, failure mode analysis. - Experience leading cross-functional technical teams and collaborating with multiple engineering disciplines - Proficiency with electrical design tools and analysis software Preferred Qualifications: - Master's degree or Ph.D. degree in Electrical Engineering or related field - 15+ years of direct experience with the design, construction, operation, or maintenance of mission critical data centers or power infrastructure - Licensed Professional Engineer - Familiarity with power flow studies, substation design, protection coordination, and utility interconnection requirements, emerging power generation and energy storage technologies, and power distribution for large scale mission critical facilities - System Matter Expert level of understanding of both electrical equipment and designs related to data centers and power generation equipment - Experience with gathering, compiling, and analyzing data to identify availability and/or performance risks within the design and operations of critical power infrastructure, including an understanding of data analysis methodologies and statistical techniques. - Ability to produce analyses that ensure data centers satisfy defined design requirements, including availability goals, power quality specifications, and predicted performance targets. - Experience with developing solutions and executing plans on fast-track design/build projects and/or multiple significant upgrade projects - Experience with commissioning and/or performance testing of critical infrastructure and the associated controls systems for mission critical environments - Experience with scripting languages (e.g., Python, R), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) and machine learning or related optimization frameworks - Possess excellent attention to detail and communication skills in order to maintain high quality standards for being organized, setting priorities, meeting deadlines, and staying within budgets - Possess leadership and problem-solving skills 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, VA, Herndon - 162,500.00 - 219,900.00 USD annually USA, WA, Seattle - 162,500.00 - 219,900.00 USD annually", "summaryDescription" : "Principal Power Systems Engineer at Amazon Data Services, Inc.", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T20:16:34.227", "lastUpdated" : "2026-06-16T01:04:29.769", "ingestTimestamp" : "2026-06-14T20:16:34.227", "mongoId" : "6a2cc3ad74d8ee00a0a0a1f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447958/apply", "salaryAnnualMin" : 162500, "salaryAnnualMax" : 219900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 843.2537, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f0c", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and a global distribution, reflecting 2024-2025 data." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T00:59:41.314", "fingerprint" : "fb5db353edf8b1ac19f227af51de0bf7f25b030e17919ebd1844a9a03be16631", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002555&gh_jid=8002555", "externalId" : "8002555", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T21:29:13.847", "createdAt" : "2026-06-14T21:29:13.847", "lastUpdated" : "2026-06-16T00:59:41.314", "ingestTimestamp" : "2026-06-14T21:29:13.847", "mongoId" : "6a2c799474d8ee00a0941f0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 842.9014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c79f174d8ee00a0943d36", "title" : "Principal Engineer", "company" : "CreateFuture", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Engineer in the UK technology industry, adjusted for executive seniority and remote work." }, "location" : "Level 1, The Stamp Office, 10 Waterloo Pl, Edinburgh EH1 3EG", "locations" : [ "Level 1", "The Stamp Office", "10 Waterloo Pl", "Edinburgh EH1 3EG", "Leeds", "England", "United Kingdom", "London", "England", "United Kingdom", "Manchester", "England", "United Kingdom" ], "timestamp" : "2026-06-15T05:24:45.498", "fingerprint" : "b75d3ea74dee27756f67351ace7fc5204c1aedd3df8e60f234c9a3bdf08f1920", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/xdesign/jobs/4807151101", "externalId" : "4807151101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.9533456,-3.1883749" }, { "city" : "Leeds", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.7974185,-1.5437941" }, { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" }, { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "Bulgaria", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; Manchester, England, United Kingdom; London, England, United Kingdom; United Kingdom; Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Claude Code, Claude Opus", "professionalSkills" : [ "System design", "Architecture", "Decision making", "Review judgement", "Force multiplier", "SME", "Intellectual honesty", "Pragmatism", "Bias toward delivery", "Curiosity", "Context engineering", "Knowledge bases", "Machine-readable specs", "Non-determinism", "Value stream", "Fallback path" ], "hardSkillsList" : [ "Deep engineering foundations", "System thinking", "AI fluency", "Context engineering", "Code review", "Tool selection", "Non-determinism handling", "Evals", "Golden datasets", "Structured outputs" ], "softSkillsList" : [ "Outcome obsessed", "Intellectually honest", "Deeply pragmatic", "Relentlessly curious" ], "hardSkills" : [ { "name" : "Deep engineering foundations", "level" : "intermediate" }, { "name" : "System thinking", "level" : "intermediate" }, { "name" : "AI fluency", "level" : "intermediate" }, { "name" : "Context engineering", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Tool selection", "level" : "intermediate" }, { "name" : "Non-determinism handling", "level" : "intermediate" }, { "name" : "Evals", "level" : "intermediate" }, { "name" : "Golden datasets", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Outcome obsessed" }, { "name" : "Intellectually honest" }, { "name" : "Deeply pragmatic" }, { "name" : "Relentlessly curious" } ], "majorSkills" : "Architecture, Deep engineering, AI fluency, System thinking", "majorSkillsList" : [ "Architecture", "Deep engineering", "AI fluency", "System thinking" ], "coreResponsibilities" : "Set AI up for success, Architect systems with clean interfaces, Review code, Pick right tool for job, Build with AI components, Handle non-determinism, Build with guardrails, Build with quality gates, Justify technical opinions commercially, Immerse in client environment", "teamCollaboration" : "Cross-functional teams; Client sites; CreateFuture offices", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Enterprise clients; Scale-up businesses; AI models; Inference calls", "domainList" : [ "enterprise-clients", "scale-up-businesses", "ai-models", "inference-calls" ], "domainSpecificKnowledge" : [ "Enterprise clients", "Scale-up businesses", "AI models", "Inference calls" ], "toolProficiency" : [ "Claude Code", "Claude Opus" ], "communicationSkills" : "Hold a room; Client SME", "documentationSkills" : "Specs; Knowledge bases; Machine-readable specs", "continuousLearning" : "Professional growth; Personal growth", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; System thinking", "specialRequirements" : "Occasional travel, On-site work", "outcomesObjectives" : "Produce quality work at speed; Compound into systems that work; Unblock value stream", "qualificationsBasic" : "Complete package: architecture, Deep engineering foundations, System thinking, Judgement to direct intelligence, AI as first-class competency, Context engineering as craft, Architect systems with clean interfaces, Read far more code than write, Pick right tool for job, Build with AI components, Fluent with AI, On-site work", "qualificationsPreferred" : "Client enterprise experience, Scale-up business experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, Adidas, NatWest, FanDuel and Money Saving Expert to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. Principal Engineer About this role The bar has moved. Five years ago a strong engineer was measured by what they could build and how well they could mentor others to build it. Today, with Claude Code and agents, we produce quality work at a speed that would have looked superhuman in 2022. What separates exceptional from good is no longer typing speed or local craftsmanship. It is the complete package: architecture, deep engineering foundations, communication, system thinking, and the judgement to direct both your own intelligence and AI toward outcomes that matter. Exceptional people at this level are not the best implementer in the room; they are the person whose specifications, decisions, and review judgement compound into systems that work in production and that others (and agents) can build on. They are a force multiplier, they hold a room at the highest levels, and clients treat them as the SME by default. Your mindset The mindset is the engine, and it is almost impossible to teach retrospectively. You are outcome obsessed, not output obsessed and you care whether the problem was actually solved - you resist the ego instinct to admire a clever solution and ask whether it was needed at all. You are intellectually honest about uncertainty, taking a trust-but-verify approach and assuming the surprising bug is the one that will burn. You are deeply pragmatic, which matters at CreateFuture where pace counts: you have outgrown the religious wars about platforms, languages and patterns, you hold opinions loosely, and you decide for the systems in front of you, not the ones you wish you had. You have a bias toward delivery: the smallest thing that works, then iterate, treating documents and meetings as means to that end. And you are relentlessly curious beyond any immediate need, wanting to know how the database actually stores things or why a Claude Opus inference call costs what it does, which keeps you several layers ahead while the rest of the team is still reading the API docs. AI as the accelerant For a Principal to be truly exceptional, this is now already a first-class competency in your arsenal, not a side skill. An engineer who is brilliant by last year's standards but not fluent with AI is not exceptional in 2026. In practice that means: Setting AI up to succeed. You treat context engineering as a craft (the right files, specs, examples and constraints), and you architect systems with clean interfaces, good naming, machine-readable specs and knowledge bases so the codebase is a quality baseline AI can work on later. No separate ivory-tower architect required. Reviewing and choosing well. You read far more code than you write, and your value is in the quality of review: catching the silent assumption, the security flaw, the architectural drift, knowing where models fail and looking there first. You pick the right tool for the job (Claude Code for a deep refactor, an inline assistant when that is enough, a sub-agent for parallel work, the right model for analysis versus generation) and you know the constraints differ by client, an enterprise like PayPoint or Natwest versus a scale-up type business like Zuto or OAG. Working with non-determinism. You see where AI moves the bottleneck and help people left and right of you unblock the value stream. You build with AI components but know success is no longer a binary, reaching for evals, golden datasets, structured outputs and fallback paths as naturally as you reach for unit tests. Technical breadth across the full stack Exceptional means depth in at least one area but competence everywhere the system reaches. Backend: an instinct for distributed systems (what fails, what is eventually consistent, where queues back up), APIs that age well, thoughtful data modelling, and an understanding that languages are mostly syntax differences you can close with AI. Cloud: cost-aware and security-aware by default, reaching for IaC, composing the primitives rather than stitching together managed services and hoping it works. Data: modern pipelines, governance and lineage, increasingly vector stores and embeddings, with data quality treated as seriously as production code because garbage in, garbage out is far worse once AI features depend on it. Web and mobile: past the framework arguments, with a clear view on what you would pick today, and able to build \"good enough\" front ends yourself with AI. Full-stack here means seeing the platform as one system and knowing which levers matter most. It does not mean front-end work with a few Node.js servers. System thinking, consulting and commercial judgement At CreateFuture we work in a consultancy context, where many otherwise excellent IC engineers can struggle. You know technology is roughly 30% of the picture; the rest is design, argument and reasoning, commercial and political acumen, and the clarity to frame outcomes for a COO, CTO, CIO or CEO in their own language. You know when gold-plating is wasteful, you can name when a project's real problem is not technical and say so even when it is awkward, and you have a strong sense of what is durable versus what is fashion. You are not the engineer who introduced the team to seven new technologies last year; you are the one who removed three and quietly made the remaining stack stronger. Leadership mentality Technical work is necessary but no longer sufficient. By default you raise the level of everyone around you, regardless of discipline. Communicate clearly and frequently (documents, decisions, post-mortems, design notes); the written artefact is the machine-readable context we can feed to AI later. Make decisions and own them. You don't escalate everything or hoard control, and you are willing to be the benevolent dictator when it is your turn. Mentor in AI fluency, not just code: tooling, prompting and review discipline, so your team is twice as productive a year from now. Need little line management. You communicate upwards, raise by exception, self-resolve, and can be trusted with financial controls. Disagree well. You tell people they are wrong with evidence and no ego, and you change your own mind when you are shown to be wrong. What we're not looking for The gifted engineer who sits in a silo. This is a team game. The one who is fluent with AI but ships without the guardrails and quality gates enterprise clients expect. The one with strong technical opinions who cannot justify them commercially and gets defensive when challenged. The pure manager who wants to orchestrate teams rather than get involved. This is about setting a new standard, not coordinating it. The engineer who will not immerse in a client environment. This role will mean on-site work and trusted relationships built in person. We are not going back to working away from the client and being bypassed. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Our hiring process We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!", "summaryDescription" : "Principal Engineer at CreateFuture. Skills: Architecture, Deep engineering, AI fluency, System thinking. Set AI up for success. Architect systems with clean interfaces", "postedDate" : "2026-06-14T04:24:28.772", "createdAt" : "2026-06-14T04:24:28.772", "lastUpdated" : "2026-06-15T05:24:45.498", "ingestTimestamp" : "2026-06-14T04:24:28.772", "mongoId" : "6a2c79f174d8ee00a0943d36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Deep engineering foundations", "System thinking", "AI fluency", "Context engineering", "Code review", "Tool selection", "Non-determinism handling", "Evals", "Golden datasets", "Structured outputs", "Outcome obsessed", "Intellectually honest", "Deeply pragmatic", "Relentlessly curious", "Architecture", "Deep engineering", "System design", "Decision making", "Review judgement", "Force multiplier", "SME", "Intellectual honesty", "Pragmatism", "Bias toward delivery", "Curiosity", "Knowledge bases", "Machine-readable specs", "Non-determinism", "Value stream", "Fallback path", "Roadmap planning", "Enterprise clients", "Scale-up businesses", "AI models", "Inference calls", "Claude Code", "Claude Opus" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 842.4869, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c799474d8ee00a0941f11", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and the global nature of the role." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T01:04:03.979", "fingerprint" : "0bd3d2943d9b49615394d694bab25e30bae1c2cdebeda84602cbb69ae3856a8c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002563&gh_jid=8002563", "externalId" : "8002563", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T20:42:17.926", "createdAt" : "2026-06-14T20:42:17.926", "lastUpdated" : "2026-06-16T01:04:03.979", "ingestTimestamp" : "2026-06-14T20:42:17.926", "mongoId" : "6a2c799474d8ee00a0941f11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 842.32587, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050b7f292fd229cef44d0", "title" : "Principal Engineer", "company" : "Snowflake", "industry" : "Engineering", "salary" : { "min" : 250000.0, "max" : 380000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US-WA-Bellevue", "locations" : [ "US-WA-Bellevue" ], "timestamp" : "2026-06-16T10:45:51.416", "fingerprint" : "9e7f77f56c1870eee9a2a2eb7469e2c526846ec7a86a768244ce9304fd89397f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Snowflake/a265dbe7-bf24-4443-b54e-8da34ab5adad/application", "externalId" : "a265dbe7-bf24-4443-b54e-8da34ab5adad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Docker, Kubernetes, SPCS, JavaScript, TypeScript", "professionalSkills" : [ "Platform design", "Systems architect", "Organizational influence", "API design", "System architecture" ], "hardSkillsList" : [ "Container runtimes", "Server-side frameworks", "Distributed execution", "Performance tuning", "Reliability engineering", "Lifecycle management", "Multi-tenancy", "SaaS security" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Container runtimes", "level" : "intermediate" }, { "name" : "Server-side frameworks", "level" : "intermediate" }, { "name" : "Distributed execution", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" }, { "name" : "Lifecycle management", "level" : "intermediate" }, { "name" : "Multi-tenancy", "level" : "intermediate" }, { "name" : "SaaS security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Platform engineering, Developer platforms, Containerization, Distributed systems", "majorSkillsList" : [ "Platform engineering", "Developer platforms", "Containerization", "Distributed systems" ], "coreResponsibilities" : "Define architectural vision for SiS platform, Own architectural vision for SiS platform, Drive platform evolution toward next-generation capabilities, Shape architectural direction for development areas, Serve as primary technical representative for SiS, Establish engineering standards for performance, Establish engineering standards for reliability, Establish engineering standards for scale, Lead technical design process, Lead review process for initiatives, Author specs, Implement changes, Review PRs, Set high bar for code quality, Set high bar for API design, Set high bar for system architecture, Mentor senior engineers, Grow senior engineers, Identify next generation technical leaders, Incubate next generation technical leaders, Level up team through example, Level up team through high standards, Level up team through knowledge sharing, Partner with Product, Partner with Design, Drive roadmap, Translate customer needs into solutions, Advocate for SiS developers, Advocate for SiS end users, Balance developer experience, Balance scalability needs", "teamCollaboration" : "Cross-team programs; Company-wide architecture forums; Cross-functional initiatives; Infrastructure teams; Snowsight teams; Cortex/AI teams; Security teams; Open-source Streamlit project; Product teams; Design teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; App development platform; Container runtimes; Embedding SDK; Developer experience; AI ecosystem; Data ecosystem; Web platform; Cross-origin security", "domainList" : [ "data-platform", "app-development-platform", "container-runtimes", "embedding-sdk", "developer-experience", "ai-ecosystem", "data-ecosystem", "web-platform", "cross-origin-security" ], "domainSpecificKnowledge" : [ "Data platform", "App development platform", "Container runtimes", "Embedding SDK", "Developer experience", "AI ecosystem", "Data ecosystem", "Web platform", "Cross-origin security" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Technical representation", "documentationSkills" : "Authoring specs", "innovationCreativity" : "Experimental mindset; Test emerging capabilities", "problemSolvingSkills" : "Solve problems", "qualificationsBasic" : "15+ years software engineering experience, Architecting and shipping production-grade developer platforms, Expertise in Python application runtimes, Expertise in server-side frameworks, Expertise in distributed execution environments, Deep understanding of performance at scale, Deep understanding of reliability at scale, Deep understanding of lifecycle management at scale, Understanding of container-based execution environments, Hands-on experience designing SDKs, Hands-on experience designing embedding APIs, Hands-on experience designing component libraries, Demonstrated ability to lead technical programs, Experience with enterprise SaaS reliability requirements", "qualificationsPreferred" : "Familiarity with open-source Streamlit framework, Familiarity with Python-based app frameworks, Experience with IdP integrations, Experience with OAuth flows, Experience with authentication systems, Familiarity with web platform, Familiarity with TypeScript/JavaScript, Familiarity with browser APIs, Familiarity with WebSockets, Familiarity with service workers, Familiarity with iframe/cross-origin security models", "remoteFriendly" : true, "rawDescription" : "At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform. This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem. AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL: - Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer. - Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in development. - Serve as the primary technical representative for SiS in company-wide architecture forums, shaping Snowflake's broader app platform strategy. - Establish engineering standards for performance, reliability, and scale ensuring SiS can handle many concurrent users with fast startup times and high availability. - Lead the technical design and review process for high-stakes, cross-functional initiatives: working closely with infrastructure, Snowsight, Cortex/AI, security, and the open-source Streamlit project. - Be a strong hands-on contributor by authoring specs, implementing changes, reviewing PRs, and setting a high bar for code quality, API design, and system architecture. - Mentor and grow senior engineers on the team; identify and incubate the next generation of technical leaders. Level up the team through your example and high standards and knowledge sharing. - Partner with Product and Design to drive the roadmap and translate customer needs (performance, scale, OSS parity) into robust engineering solutions. - Advocate for SiS developers and end users by balancing the developer experience of Python engineers with the scalability needs of enterprise customers embedding Streamlit. OUR IDEAL PRINCIPAL ENGINEER WILL HAVE: - 15+ years of software engineering experience, with a demonstrated track record of architecting and shipping production-grade developer platforms or application runtimes. - Strong expertise in Python application runtimes, server-side frameworks, and distributed execution environments with a deep understanding of performance, reliability, and lifecycle management at scale. - Strong understanding of container-based execution environments (Docker, Kubernetes, SPCS or similar) and the performance/reliability tradeoffs they introduce. - Hands-on experience designing and evolving developer-facing SDKs, embedding APIs, or component libraries including thoughtful API versioning and backward compatibility. - Demonstrated ability to lead technical programs that span multiple teams and organizational boundaries driving clarity, alignment, and accountability without direct authority. - Experience with enterprise SaaS reliability requirements: multi-tenancy, scale, security review processes, and graceful migrations. - Familiarity with the open-source Streamlit framework or similar Python-based app frameworks is a strong plus. - Experience working with IdP integrations, OAuth flows, or authentication systems for embedded/public-facing web applications is a plus. - (nice to have) Familiarity with the web platform (TypeScript/JavaScript, browser APIs, WebSockets, service workers, iframe/cross-origin security models) particularly as it relates to how Python-backed apps are served and embedded in the browser WHY JOIN THE STREAMLIT IN SNOWFLAKE TEAM AT SNOWFLAKE? Streamlit is one of the most loved developer tools in the data ecosystem and Streamlit in Snowflake is how we bring that experience to millions of enterprise users at scale. As a member of this team, you will: - Shape the future of data app development determining how the next generation of SiS runs, scales, and integrates with Snowflake's AI and data platform. - Solve genuinely hard problems at the intersection of distributed systems, web platform engineering, and developer experience from sub-second cold starts to embedding apps inside third-party products. - Work alongside the core Streamlit open-source contributors and influence the direction of one of the fastest-growing Python frameworks. - Join a tight-knit, high-ownership engineering team that has shipped SiS vNext from private preview to GA and is now building the features that will define the next chapter of the product. - Be part of a company that combines the resources and reach of a market leader with a decisive, ship-it-today engineering culture. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com", "summaryDescription" : "Principal Engineer at Snowflake. Skills: Platform engineering, Developer platforms, Containerization, Distributed systems. Define architectural vision for SiS platform. 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Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX, San Francisco, CA, Denver, CO, Seattle, WA About the Team The Finance high-growth, public-company SaaS experience preferred but not required. Deep revenue-modeling expertise: you've architected revenue forecast models from scratch and understand how bookings convert to recognized revenue, ideally across both subscription and usage-based models. A strong bias for automation: hands-on experience using AI tools (e.g., Windsurf/Devin, Cursor, OpenCode) to automate workflows, accelerate modeling, and analyze large datasets—and a genuine drive to push how far that can go. Systems-thinker: you think in terms of data, logic layers, and repeatable process—not just spreadsheets. Experience with financial planning systems (Anaplan a plus) and comfort with data structures. Expert proficiency in Excel and Google Sheets; experience with enterprise financial systems (e.g., NetSuite, Salesforce) is a plus. Intellectually curious and rigorous, with a first-principles problem-solving orientation. Not satisfied with easy or convenient answers. Strong executive presence: able to distill complex modeling outputs into simple, consumable, actionable takeaways for senior leaders and the board. Bachelor's degree in Finance, Accounting, Economics, or a quantitative field. Why This Role? Own the model behind our topline revenue forecast. A real builder mandate: modernize and automate how we forecast, with room to push AI and agentic tooling. Direct collaboration with senior Finance, GTM, and Product leaders, plus exposure to board and earnings work. High visibility and impact in a mission-driven company helping build a better Internet. Compensation Compensation may be adjusted depending on work location. ● For San Francisco Bay Area based hires: Estimated annual salary of $188,000 - $259,000. ● For Washington based hires: Estimated annual salary of $179,000 - $246,000. ● For Colorado based hires: Estimated annual salary of $163,000 - $204,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U. S. Health & Welfare Benefits ● Medical/Rx Insurance ● Dental Insurance ● Vision Insurance ● Flexible Spending Accounts ● Commuter Spending Accounts ● Fertility & Family Forming Benefits ● On-demand mental health support and Employee Assistance Program ● Global Travel Medical Insurance Financial Benefits ● Short and Long Term Disability Insurance ● Life & Accident Insurance ● 401(k) Retirement Savings Plan ● Employee Stock Participation Plan Time Off ● Flexible paid time off covering vacation and sick leave ● Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U. S. export control laws, including the U. S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U. S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.", "summaryDescription" : "Principal Finance Partner, Revenue & Strategic Modeling at Cloudflare", "postedDate" : "2026-06-15T23:28:06.423", "createdAt" : "2026-06-15T23:28:06.423", "lastUpdated" : "2026-06-16T07:28:22.882", "ingestTimestamp" : "2026-06-15T23:28:06.423", "mongoId" : "6a306095f292fd229cf90efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 836.0755, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c1b74d8ee00a094c499", "title" : "Battery Modeling Engineer", "company" : "Zipline", "salary" : { "min" : 130000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T22:32:50.206", "fingerprint" : "a8065a953b0130c109a6395e1a02a59999147dc472b3bddd0121a702ac28fa1b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7771359003#open-roles", "externalId" : "7771359003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About The Role The Battery Modeling Engineer will be part of Zipline’s Systems Modeling Team, which develops physics-based models used to architect, optimize, and validate Zipline’s aircraft hardware and operational systems. The team works across battery systems, thermal systems, controls, aerodynamics, electrical engineering, and fleet operations to guide key engineering and product decisions. In this role, you will own end-to-end battery modeling capabilities spanning cell-level electrochemical models (SPM/SPMe/P2D) and equivalent circuit models, pack-level battery models across multiple fidelities, and battery state estimation algorithms. You will also be responsible for Zipline’s cell electrochemistry roadmap and cell selection, working internally and with cell vendors to benchmark and identify emerging opportunities and drive forward new cell candidates. Your role doesn’t just stop at battery modeling. You will also work to integrate battery and energy models into fleet-level and real-time operational software, supporting large-scale optimizations and highly efficient runtime algorithms. Autonomous decisions made by the fleet, such as what rate to charge at to optimize turnaround time versus battery health, will be guided by your models. What You'll Do Develop, validate, and own cell-level battery models across multiple fidelities, including electrochemical models (SPM/SPMe/P2D) and equivalent circuit models, to support cell selection and optimize performance, fast charging capability, and battery lifetime. Design and analyze battery characterization and validation test campaigns including EIS, HPPC, OCV, and cycle/calendar aging studies. Develop and validate pack-level electro-thermal battery models across multiple fidelities to predict electrical and thermal non-uniformities and guide hardware reliability and operational limits during high-power operation and charging. Implement and integrate electrochemical battery models within Zipline’s existing simulation frameworks, while improving existing battery modeling capabilities across multiple fidelities. Develop and improve battery state estimation and controls-oriented algorithms including SOC/SOH/SOE/SOP estimation and aging-aware charging current limit estimation. Collaborate closely with mechanical, electrical, systems modeling, and test engineers to develop, validate, and deploy battery models. What You'll Bring 5+ years of professional experience (or PhD + 2 years) in battery modeling, with a focus on electrochemical modeling. A strong understanding of fundamental physics: Cell electrochemistry Heat transfer and thermodynamics Electrical circuits Strong background in electrochemical battery modeling including SPM/SPMe/P2D models, equivalent circuit models, and cell degradation mechanisms. Experience designing and analyzing battery characterization and validation test campaigns including EIS, HPPC, OCV, and cycle/calendar aging studies. Experience using at least one of the following: MATLAB, Python, Julia, C++, or Rust. Strong understanding of numerical methods and optimization fundamentals. Excellent communication skills, including the ability to explain complex systems and datasets in simple terms and synthesize information from disparate sources into clear, concise insights. Preferred Qualifications: Advanced degree (MS or PhD preferred) in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Physics, Computational Science, or related field. Familiarity with PyBaMM or similar electrochemical battery modeling frameworks. Experience with battery degradation and lifetime modeling. Experience developing battery state estimation algorithms. What Else You Need to Know The starting cash range for this role is $130,000 - $165,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100—$210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. 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ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

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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, "_score" : 823.3958, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c601274d8ee00a08f10f5", "title" : "Principal Electrical Systems Design Engineer", "company" : "Epirus", "industry" : "Technology", "salary" : { "min" : 178600.0, "max" : 215800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Torrance, California, United States", "locations" : [ "Torrance", "California", "United States" ], "timestamp" : "2026-06-15T01:26:11.968", "fingerprint" : "8fbb7007031ca7b889b5e476c942e8d3724a1e354cd471ee2a5ae49c538232a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.epirusinc.com/open-roles?gh_jid=6018772004", "externalId" : "6018772004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Torrance", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8371392,-118.3413606" } ], "locationText" : "Torrance, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "High Power Microwave, AI, Microelectronics, Power distribution, Communications, Electrical", "professionalSkills" : [ "Systems integration", "Product development", "Power budgets", "Technical requirements", "Technical specifications", "Component design", "System requirements" ], "hardSkillsList" : [ "Power conversion", "Wiring", "Testing", "Debugging", "High voltage safety" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Power conversion", "level" : "intermediate" }, { "name" : "Wiring", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "High voltage safety", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Power distribution, Systems integration, Phased arrays", "majorSkillsList" : [ "Power distribution", "Systems integration", "Phased arrays" ], "coreResponsibilities" : "Develop system-level power budgets, Coordinate requirements with subsystem design teams, Lead design and integration of power electronics subsystems, Define organizational standards for high voltage safety, Lead team through safety checks, Define and refine technical requirements and specifications, Design and prototype critical power electronics subsystems, Engage in hands-on activities, Collaborate with internal teams and external suppliers", "teamCollaboration" : "Subsystem design teams; Internal teams; External suppliers", "projectManagementSkills" : [ "Scrum", "Agile", "Project management" ], "domainKnowledge" : "High Power Microwave; Phased array systems; Directed energy systems; MIL-STD; IEC standards; Aerospace; Defense; Electric Vehicle Power", "domainList" : [ "high-power-microwave", "phased-array-systems", "directed-energy-systems", "mil-std", "iec-standards", "aerospace", "defense", "electric-vehicle-power" ], "domainSpecificKnowledge" : [ "High Power Microwave", "Phased array systems", "Directed energy systems", "MIL-STD", "IEC standards", "Aerospace", "Defense", "Electric Vehicle Power" ], "toolProficiency" : [ "Jira", "MS Project", "Smartsheet" ], "communicationSkills" : "Technical decisions; Written communication; Verbal communication", "innovationCreativity" : "Apply emerging technologies; Innovative ways; New products", "problemSolvingSkills" : "Problem solvers", "specialRequirements" : "Ability to travel, US citizenship, US Clearance", "qualificationsBasic" : "Degree in Systems Engineering, Aerospace Engineering, or Electrical Engineering, 8+ years of industry experience, Ability to articulate and defend technical decisions, Clear written and verbal communication skills, Knowledgeable with Jira/scrum best practices", "qualificationsPreferred" : "Experience implementing high-voltage power distribution and battery systems, Experience designing and implementing three-phase AC and high-voltage DC power subsystems, Familiarity with communication protocols relevant to phased array systems, Knowledge of applicable industry standards, Proficiency in PCB schematic design and test, Proficiency in high voltage/high power wiring and harness design, Experience with Design Failure Modes and Effects Analysis (DFMEA), Aerospace/Defense experience or military experience, Experience in Directed Energy or similar industry, Organizational and time management skills, Ability to manage multiple tasks and projects, Knowledge of project management software, Ability to obtain and maintain a US Clearance, US citizenship", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Epirus Epirus is a high-growth technology company developing software-defined high-power microwave (HPM) systems with devastating counter-electronics effects on modern drone threats. The Epirus Leonidas HPM family of products, empowered by innovations in AI and microelectronics, is human safe and cost-effective. Distinguishing itself from lasers, Leonidas excels against drone swarms while also bending the cost curve back in DoD's favor - taking drone defeat costs from millions of dollars per drone to pennies on the dollar. Job Summary: The ideal candidate for the position is someone who has experience with power distribution for electrification and can own product development through all stages of conception, prototype, and productization. In this role, you will work closely with a talented engineering team in a fast-paced environment to apply emerging technologies in innovative ways to rapidly produce new products. Own systems integration efforts on High Power Microwave Phased Array system. Architect and implement designs for power distribution, communications, safety, and other system electrical needs. This position will report to the Senior Manager of Electrical Engineering. Responsibilities: Power Budgets: Develop system-level power budgets, and coordinate requirements with subsystem design teams. System Integration: Lead the design and integration of the power electronics subsystems of large-scale phased arrays from prototype development to full-scale production. Standards and Best Practices: Define the organizational standards for high voltage safety and best practices and lead the team through safety checks at key integration milestones. Technical Specifications: Define and refine technical requirements and specifications for High Power Microwave system components and overall architecture. Prototyping and Design: Design and prototype critical power electronics subsystems, with an emphasis on prime power distribution and conversion. Hands-On Development: Engage in hands-on activities such as wiring, testing, and debugging high power phased array systems. Supplier Coordination: Collaborate with internal teams and external suppliers on component design, testing, and evaluation to meet system requirements. Basic Qualifications: Degree in one of the following: Systems Engineering, Aerospace Engineering, Electrical Engineering 8+ years of industry experience, preferably spanning the entire product lifecycle (concept to field deployment). Advanced degrees might be used in place of years of experience. Communication Skills: Ability to articulate and defend technical decisions, with clear written and verbal communication skills. Knowledgeable with Jira/scrum best practices Preferred Skills and Experience: Battery: Experience implementing high-voltage power distribution and battery systems. Prime Power: Experience designing and implementing both three-phase AC and high-voltage DC power subsystems for directed energy systems. Communication Protocols: Familiarity with communication protocols relevant to phased array systems (e.g., CAN, Ethernet, etc.). Standards Knowledge: Knowledge of applicable industry standards (e.g., MIL-STD, IEC standards). PCB Design: Proficiency in PCB schematic design and test. Harness Design: Proficiency in standard practices and design rules for high voltage/high power wiring and harness design. DFMEA Process: Experience with Design Failure Modes and Effects Analysis (DFMEA) for identifying and mitigating potential system failures. Aerospace/Defense experience and/or military experience preferred, or experience in Directed Energy or a similar industry (e. g. Aircraft Power, Radar Power Systems, Laser Systems, Automotive / Electric Vehicle Power). Project Management: Strong organizational and time management skills, with the ability to manage multiple tasks and projects effectively. Knowledge of project management software such as MS Project or Smartsheet. Ability to obtain and maintain a US Clearance, US citizenship is required to obtain a US Clearance Additional Requirements: Ability to travel on an occasional basis ITAR REQUIREMENTS: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here.   People are the most important part of Epirus – and always come first. We don’t believe in the word impossible and are always asking “why not” as work to usher in a new paradigm of power efficiency. Our fast-growing team is agile, creative, and innovative. We support a culture of constant learning and sense of belonging among our team members and know that mentorship matters. We embrace diversity, equity and inclusion in the workplace and beyond. To deliver on our mission, we are always looking for problem solvers, changemakers and innovators to join our fast-growing team. As required by the Equal Pay Transparency Act, Epirus provides a reasonable range of minimum compensation for roles that may be hired. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of California only, the range of starting pay for this role is: $178,600—$215,800 USD", "summaryDescription" : "Principal Electrical Systems Design Engineer at Epirus. Skills: Power distribution, Systems integration, Phased arrays. Develop system-level power budgets. Coordinate requirements with subsystem design teams", "postedDate" : "2026-06-12T22:29:23.249", "createdAt" : "2026-06-12T22:29:23.249", "lastUpdated" : "2026-06-15T01:26:11.968", "ingestTimestamp" : "2026-06-12T22:29:23.249", "mongoId" : "6a2c601274d8ee00a08f10f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 178600, "salaryAnnualMax" : 215800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Power conversion", "Wiring", "Testing", "Debugging", "High voltage safety", "Leadership", "Power distribution", "Systems integration", "Phased arrays", "Product development", "Power budgets", "Technical requirements", "Technical specifications", "Component design", "System requirements", "Scrum", "Agile", "Project management", "High Power Microwave", "Phased array systems", "Directed energy systems", "MIL-STD", "IEC standards", "Aerospace", "Defense", "Electric Vehicle Power", "Jira", "MS Project", "Smartsheet" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 818.9408, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a534d74d8ee00a05fd9cc", "title" : "Principal Engineer, AI Systems", "company" : "Block", "salary" : { "min" : 350000.0, "max" : 650000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Engineer, AI Systems in the Bay Area, adjusted for executive seniority and technology industry." }, "location" : "US - CA - Bay Area - Remote", "locations" : [ "US - CA - Bay Area - Remote" ], "timestamp" : "2026-06-13T19:33:12.947", "fingerprint" : "9dafaad0706f9eba18715ba7f1b34dfe89d83a8a03eb446ce4fcff2a5824bfe1", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://block.xyz/careers/jobs/5243410008?gh_jid=5243410008", "externalId" : "5243410008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI Systems, Autonomous agents, Agentic workflows, LLMs, Prompt engineering, Retrieval-augmented generation, Model optimization, Fine-tuning, Distillation, RLHF", "professionalSkills" : [ "Technical leadership", "Technical planning", "Pragmatic tradeoffs", "Technical excellence", "High-quality delivery", "Rapid experimentation", "Learning" ], "hardSkillsList" : [ "Agent orchestration", "Planning", "Tool use", "Memory", "Evaluation", "Multi-agent coordination", "Model selection", "Context retrieval", "Model optimization", "Prompt engineering", "Retrieval-augmented generation", "Fine-tuning", "Distillation", "RLHF" ], "softSkillsList" : [ "Mentorship", "Communication" ], "hardSkills" : [ { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Memory", "level" : "intermediate" }, { "name" : "Evaluation", "level" : "intermediate" }, { "name" : "Multi-agent coordination", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Context retrieval", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" }, { "name" : "Communication" } ], "majorSkills" : "AI Systems, Autonomous agents, Agentic workflows, LLMs", "majorSkillsList" : [ "AI Systems", "Autonomous agents", "Agentic workflows", "LLMs" ], "coreResponsibilities" : "Ship autonomous agents, Architect autonomous agents, Build autonomous agents, Own end-to-end delivery, Design agent orchestration systems, Integrate LLMs into agent architectures, Optimize LLMs into agent architectures, Drive model optimization work, Lead technical planning, Break down objectives, Provide technical mentorship, Guide engineers, Elevate team capabilities, Partner with stakeholders, Translate business objectives, Evaluate emerging AI capabilities, Make pragmatic tradeoffs, Foster technical excellence, Foster high-quality delivery, Foster rapid experimentation, Foster learning", "teamCollaboration" : "Technical stakeholders; Non-technical stakeholders; Engineering teams; Product teams; Design teams", "projectManagementSkills" : [ "Technical planning", "Sequenced tasks", "Clear ownership", "Execution paths" ], "domainKnowledge" : "Autonomous agents; Agentic systems; LLM integration; Economic empowerment", "domainList" : [ "autonomous-agents", "agentic-systems", "llm-integration", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Autonomous agents", "Agentic systems", "LLM integration", "Economic empowerment" ], "communicationSkills" : "Build alignment", "innovationCreativity" : "Rapid experimentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Debugging; Analytical skills", "outcomesObjectives" : "Deliver business value; Ensure reliability; Ensure safety; Ensure performance at scale; Create agent-powered products", "qualificationsBasic" : "15+ years software engineering, 15+ years machine learning, Recent production autonomous agents experience, Deep production agent experience, Production software engineering fundamentals, Production-quality code writing, Sound architectural decisions, Technical leadership experience, Shaped technical direction, Driven execution, Elevated others, Product-minded engineering approach, User outcome thinking, Navigating extreme ambiguity", "qualificationsPreferred" : "Experience at leading AI organizations, Translating research into production agents, Scaling agentic products at startups, Model fine-tuning experience, Model distillation experience, RLHF experience, Agent evaluation challenges, Agent safety challenges, Agent alignment challenges", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role Block is building toward one of the most ambitious technical visions in our history: an AGI-enabled entity that fundamentally transforms how we deliver economic empowerment. We're assembling a world-class team of AI experts to design and ship autonomous agents and agentic workflows that operate across Square, Cash App, and the broader Block ecosystem. This work is about creating solutions—you'll be building AI that acts, decides, and completes real tasks for real users from across all of Block's business functions. As a Principal Engineer, you'll join as a senior individual contributor with significant technical leadership responsibilities. You Will Ship, architect, build, and own end-to-end delivery of autonomous agents and agentic workflows that deliver real business value for Block, ensuring reliability, safety, and performance at scale Design agent orchestration systems including planning, tool use, memory, evaluation, and multi-agent coordination at production scale Integrate and optimize frontier LLMs into agent architectures, making decisions on model selection, fine-tuning, prompt engineering, and context retrieval strategies Drive deeper model optimization work (fine-tuning, distillation, RLHF) where it unlocks agent capability or efficiency Lead detailed technical planning by breaking down ambitious objectives into concrete, sequenced tasks with clear ownership and execution paths Provide technical mentorship and guidance to engineers across experience levels, elevating team capabilities through code review, pairing, and knowledge sharing Partner closely with technical and non-technical stakeholders to translate business objectives into agent-powered product experiences Keep Block at the frontier by continuously evaluating emerging AI capabilities and making pragmatic tradeoffs across model performance, latency, cost, and user experience Foster a culture of technical excellence, high-quality delivery, rapid experimentation, and learning within your team and beyond You Have 15+ years of experience in software engineering or machine learning, with recent professional experience building autonomous agents or agentic workflows in production Deep experience building autonomous agents or agentic workflows in production environments—not just prototypes or demos Fluency in the core primitives of agentic systems: context management, planning, tool use, memory, evaluation, and multi-step reasoning Experience bringing frontier LLM capabilities into production products, with hands-on experience in prompt engineering, retrieval-augmented generation, and model optimization A track record of taking AI-powered products from zero to scale in fast-paced, product-driven environments, with the judgment that comes from operating in production Strong software engineering fundamentals with the ability to write production-quality code and make sound architectural decisions Experience providing technical leadership within teams—you've shaped technical direction, driven execution, and elevated others Product-minded engineering approach—you think in terms of user outcomes, not just model metrics Excellent collaboration and communication skills, with ability to build alignment across engineering, product, and design Comfort navigating extreme ambiguity in a domain that's evolving weekly Alignment with Block's mission of economic empowerment and using technology to create access and opportunity Bonus Points For Experience at leading AI organizations with a track record of translating research into production agent systems Background building or scaling agentic products at startups (including early-stage or pivoting companies) Experience with model fine-tuning, distillation, or RLHF to improve agent performance Familiarity with agent evaluation, safety, and alignment challenges in production contexts We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U. S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U. S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $319,000—$478,600 USD Zone B: $319,000—$478,600 USD Zone C: $319,000—$478,600 USD Zone D: $319,000—$478,600 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy", "summaryDescription" : "Principal Engineer, AI Systems at Block. Skills: AI Systems, Autonomous agents, Agentic workflows, LLMs. Ship autonomous agents. Architect autonomous agents", "postedDate" : "2026-06-11T18:12:23.954", "createdAt" : "2026-06-11T18:12:23.954", "lastUpdated" : "2026-06-13T19:33:12.947", "ingestTimestamp" : "2026-06-11T18:12:23.954", "mongoId" : "6a2a534d74d8ee00a05fd9cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 650000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Agent orchestration", "Planning", "Tool use", "Memory", "Evaluation", "Multi-agent coordination", "Model selection", "Context retrieval", "Model optimization", "Prompt engineering", "Retrieval-augmented generation", "Fine-tuning", "Distillation", "RLHF", "Mentorship", "Communication", "AI Systems", "Autonomous agents", "Agentic workflows", "LLMs", "Technical leadership", "Technical planning", "Pragmatic tradeoffs", "Technical excellence", "High-quality delivery", "Rapid experimentation", "Learning", "Sequenced tasks", "Clear ownership", "Execution paths", "Agentic systems", "LLM integration", "Economic empowerment" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "10409-engineering---aida", "dataQualityScore" : 0.8888889, "_score" : 816.95135, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c799474d8ee00a0941f12", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Software Engineer in the US Technology industry, adjusted for executive seniority and a large global tech company." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T07:24:37.311", "fingerprint" : "23113a65b855ebd26182885ab3a7d533a42909c49b4309cb41aa8a96055b5c21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002558&gh_jid=8002558", "externalId" : "8002558", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Data indexing; Data allocation; Data replication; Cluster coordination; System liveness; System safety", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "data-indexing", "data-allocation", "data-replication", "cluster-coordination", "system-liveness", "system-safety" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Cluster coordination", "System liveness", "System safety" ], "toolProficiency" : [ "Netty" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to build and debug features, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-13T21:47:42.840", "createdAt" : "2026-06-13T21:47:42.840", "lastUpdated" : "2026-06-15T07:24:37.311", "ingestTimestamp" : "2026-06-13T21:47:42.840", "mongoId" : "6a2c799474d8ee00a0941f12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues", "Elasticsearch", "Java", "Technical design", "Project management", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "System liveness", "System safety", "Netty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 816.8374, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68dd1ee9ce260f92cbea0b15", "title" : "Systems Development Engineer II (M365)", "company" : "Amazon Development Centre Canada ULC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, healthcare", "salary" : { "min" : 114800.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "certifications" : [ "MCSA", "MCSD", "MCSE", "AWS Certified Solution Architect - Associate" ], "timestamp" : "2026-06-15T02:02:40.103", "fingerprint" : "0f67b7999955ec29b0eb75e83ab98d2d3ec0c8c51bce10e7910f854897cbc62a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098847/apply", "externalId" : "50a0c148-0267-4e8b-a6f2-babdbfa2afc1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C++, C#, Java, Python, Golang, PowerShell, Ruby, M365, ServiceNow, Microsoft Infrastructure, SQL, Active Directory, .NET, AWS", "professionalSkills" : [ "Systems engineering", "Information security", "Data protection" ], "hardSkillsList" : [ "Systems engineering", "Software development", "System design", "Architecture", "Networking", "Storage systems", "Operating systems", "Information security", "Data movement" ], "softSkillsList" : [ "Mentoring", "Knowledge sharing" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Storage systems", "level" : "intermediate" }, { "name" : "Operating systems", "level" : "intermediate" }, { "name" : "Information security", "level" : "intermediate" }, { "name" : "Data movement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Knowledge sharing" } ], "majorSkills" : "Systems Development, M365, Software Engineering", "majorSkillsList" : [ "Systems Development", "M365", "Software Engineering" ], "coreResponsibilities" : "Design software solutions, Build software solutions, Deploy software solutions, Establish rules to protect data", "teamCollaboration" : "Knowledge sharing environment; Inclusive team culture; Internal teams; Partners; Vendors", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Health Care Systems; Microsoft Infrastructure; Active Directory; SQL; .NET", "domainList" : [ "health-care-systems", "microsoft-infrastructure", "active-directory", "sql", "net" ], "domainSpecificKnowledge" : [ "Health Care Systems", "Microsoft Infrastructure", "Active Directory", "SQL", ".NET" ], "toolProficiency" : [ "ServiceNow", "M365" ], "continuousLearning" : "Mentorship; Career growth; Learning experiences", "innovationCreativity" : "Innovation", "qualificationsBasic" : "4+ years software development experience, 1+ years system design/architecture, 7+ years systems engineering experience, Knowledge of systems engineering fundamentals, Bachelor's degree in computer science, 4+ years programming experience, Experience leading software solution design, Experience building information security, Experience with data protection processes", "qualificationsPreferred" : "Experience in Agile environment, Experience with Scrum methodology, Experience with PowerShell, Knowledge of Microsoft Infrastructure architecture, MCSA, MCSD, and/or MCSE, AWS Certified Solution Architect - Associate, Knowledge of engineering practices, Experience leading complex infrastructure builds", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy. We are looking for a Systems Development Engineer to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy! About the team 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 mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Inclusive Team Culture: Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon 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 values work-life balance. It isn’t about how many hours you spend working vs relaxing; it’s about doing both well. We believe striking the right balance between your personal and professional life is critical to happiness and success in your endeavors. We offer flexibility in working hours and treasure the flexibility our type of work offers. Early bird, night owl or otherwise, you'll be welcomed on our team. Basic Qualifications: - 4+ 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) - Bachelor's degree in computer science or equivalent - 4+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production - Experience in the building of information security as a core competency throughout our relationships with our internal teams/partners/vendor; this includes designing the right level of data movements, and providing education and training to the organization - Experience processes/technologies to establish rules to protect data moving across the enterprise. - Implementation knowledge on ServiceNow, M365 and Health Care Systems will be plus Preferred Qualifications: - Experience working in an Agile environment using the Scrum methodology - Experience with PowerShell (preferred), Python, Ruby, or Java - Knowledge and/or experience in one or more of the following: · Knowledge of Microsoft Infrastructure architecture such as SQL, Active Directory, .NET · MCSA, MCSD, and/or MCSE · AWS Certified Solution Architect - Associate - 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 live site 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. 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 for this position ranges from $114,800/year up to $191,800/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.", "summaryDescription" : "Systems Development Engineer II (M365) at Amazon Development Centre Canada ULC. Skills: Systems Development, M365, Software Engineering. Design software solutions. 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Work with ODMs; Work with vendors; Cross-boundary triaging; Resolve issues across organization", "domainKnowledge" : "Cloud server infrastructure; Machine Learning Acceleration; SoCs; Servers; Systems; IC package; Air-cooled systems; Liquid-cooled systems; Heatsink solutions; Thermal Interface Materials; Liquid cooling technologies; Thermal control algorithms; Power management algorithms", "domainList" : [ "cloud-server-infrastructure", "machine-learning-acceleration", "socs", "servers", "systems", "ic-package", "air-cooled-systems", "liquid-cooled-systems", "heatsink-solutions", "thermal-interface-materials", "liquid-cooling-technologies", "thermal-control-algorithms", "power-management-algorithms" ], "domainSpecificKnowledge" : [ "Cloud server infrastructure", "Machine Learning Acceleration", "SoCs", "Servers", "Systems", "IC package", "Air-cooled systems", "Liquid-cooled systems", "Heatsink solutions", "Thermal Interface Materials", "Liquid cooling technologies", "Thermal control algorithms", "Power management algorithms" ], "toolProficiency" : [ "Ansys Icepak", "FloTherm", "Cadence Celsius", "PTC Creo", "Solidworks" ], "innovationCreativity" : "Accelerates innovation; Design silicon and software; Build next generation infrastructure; Integration of emergent technologies", "problemSolvingSkills" : "Troubleshooting; Debugging", "outcomesObjectives" : "Deliver world-class customer experience; Improve product performance; Improve product quality; Improve product cost", "qualificationsBasic" : "BS or MS degree, 10+ years industry experience, 3+ years SoC Thermal modelling, Experience with Chip package, Collaborate effectively with teams, Work with ODMs, vendors, teams", "qualificationsPreferred" : "Knowledge of SoC thermal/mechanical design, Programming experience: Bash script, Shell script, Linux, Python, and Lua, Working knowledge on fans, valves, chillers, and CDUs, Knowledge of various types of technologies, Develop detailed CFD and compact RC models, Knowledge of hardware and software based thermal / power management, Optimize thermal solutions under PPA, Simulate and prototype thermal control strategies, Validate thermal models through measurements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design including thermal solutions and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users. About the team In 2015, Annapurna Labs was acquired by Amazon Web Services (AWS). Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton2 processors. Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers. Today this includes: Graviton, driving innovation for general purpose compute; Nitro, driving networking and storage scale, security and Hypervisor offload, and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications permanently while keeping costs under control. Basic Qualifications: * BS or MS degree in Mechanical/Thermal Engineering * 10+ years industry experience in Mechanical and Thermal design of Systems * Experience in thermal and performance measurements and characterization on SoCs, Servers, and Systems * 3+ years of experience SoC Thermal modelling and IC package transient thermal response * Experience with Chip package, System Mechanical & Thermal design for air-cooled and liquid-cooled systems * Collaborate effectively with teams spanning multiple sites and develop detailed specifications for product teams to use * Work with ODMs, heatsink vendors, and internal design teams on cross-boundary triaging, debugging, and resolving issues across organization. Preferred Qualifications: * Knowledge of SoC thermal/mechanical design methodology, power modeling and thermal analysis techniques * Tool Familiarity: Ansys Icepak, FloTherm, Cadence Celsius, PTC Creo, and Solidworks * Programming experience: Bash script, Shell script, Linux, Python, and Lua. Familiarity with working in Linux environment is an added advantage * Working knowledge on fans, valves, chillers, and CDUs * Knowledge of various types of technologies used for Heatsink solutions, Thermal Interface Materials (TIMs) and liquid cooling technologies * Develop detailed CFD and compact RC models for SoC and Package thermal analysis * Knowledge of hardware and software based thermal / power management control algorithms * Optimize thermal solutions under PPA and system design constraints * Simulate and prototype thermal control strategies * Validate thermal models through power/thermal measurements on Hardware 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 - 217,800.00 - 294,700.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually", "summaryDescription" : "Principal Engineer at Annapurna Labs. Skills: Mechanical Engineering, Thermal Engineering, System Design, Data Center Infrastructure. Design and build systems. Develop circuit design", "postedDate" : "2026-06-13T11:09:35.880", "createdAt" : "2026-06-13T11:09:35.880", "lastUpdated" : "2026-06-15T04:16:15.712", "ingestTimestamp" : "2026-06-13T11:09:35.880", "mongoId" : "6a2176bb74d8ee00a0c1abc8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439516/apply", "salaryAnnualMin" : 189400, "salaryAnnualMax" : 256200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Thermal measurements", "Performance measurements", "SoC thermal modelling", "System mechanical design", "Liquid-cooled systems", "Air-cooled systems", "Power management algorithms", "Thermal management algorithms", "Leadership", "Mechanical Engineering", "Thermal Engineering", "System Design", "Data Center Infrastructure", "Mechanical design", "Thermal design", "System design", "Power modeling", "Thermal analysis", "CFD modeling", "RC modeling", "Thermal control", "Cloud server infrastructure", "Machine Learning Acceleration", "SoCs", "Servers", "Systems", "IC package", "Heatsink solutions", "Thermal Interface Materials", "Liquid cooling technologies", "Thermal control algorithms", "Ansys Icepak", "FloTherm", "Cadence Celsius", "PTC Creo", "Solidworks" ], "skillCount" : 36, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 814.80963, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c799474d8ee00a0941f16", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, a global remote work mode, and the specific company size and industry." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T06:44:19.728", "fingerprint" : "b47d57a8fb006fd2ac66fc4c7d870ec9430cafcdd728dfe072f751f49e86bde6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7982099&gh_jid=7982099", "externalId" : "7982099", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Data indexing; Data allocation; Data replication; Cluster coordination; Network frameworks", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "data-indexing", "data-allocation", "data-replication", "cluster-coordination", "network-frameworks" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Cluster coordination", "Network frameworks" ], "toolProficiency" : [ "Netty" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to build and debug features, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-13T20:15:31.768", "createdAt" : "2026-06-13T20:15:31.768", "lastUpdated" : "2026-06-15T06:44:19.728", "ingestTimestamp" : "2026-06-13T20:15:31.768", "mongoId" : "6a2c799474d8ee00a0941f16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues", "Elasticsearch", "Java", "Technical design", "Project management", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Network frameworks", "Netty" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 814.53876, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad671", "title" : "Principal Analytics Engineer", "company" : "Hasbro", "industry" : "Retail", "salary" : { "min" : 151800.0, "max" : 227700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:12:18.752", "fingerprint" : "80b09d2f49404f1d8540ee45040a69a415501b109c9a6260c99eede32d615953", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4267473009", "externalId" : "4267473009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, DBT, Databricks, AWS, Azure, APIs", "professionalSkills" : [ "Data modeling", "Taxonomy design", "Metric framework", "Data transformation", "Data quality", "Data lineage", "Technical direction" ], "hardSkillsList" : [ "Analytics engineering", "Data ingestion", "Data normalization", "Dimensional modeling", "Semantic layer architecture", "Data warehousing", "Data quality frameworks", "Validation processes", "Documentation standards" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data normalization", "level" : "intermediate" }, { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Semantic layer architecture", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Validation processes", "level" : "intermediate" }, { "name" : "Documentation standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics engineering, Marketing data, Data modeling, DBT, Databricks", "majorSkillsList" : [ "Analytics engineering", "Marketing data", "Data modeling", "DBT", "Databricks" ], "coreResponsibilities" : "Evolve enterprise analytics modeling approach, Define common marketing taxonomy, Maintain common metric framework, Lead integration and transformation of data, Design scalable data transformation frameworks, Develop analytics-ready marketing data products, Enhance analytics-ready marketing data products, Establish standards for data quality, Promote standards for data quality, Establish standards for testing, Promote standards for testing, Establish standards for documentation, Promote standards for documentation, Establish standards for lineage, Promote standards for lineage, Partner with data engineering, Partner with marketing teams, Influence technical direction, Drive alignment across teams, Lead complex initiatives, Improve data consistency, Improve data comparability, Improve data usability, Mentor analytics engineers, Guide analytics engineers, Elevate modeling practices, Elevate technical rigor", "teamCollaboration" : "Business teams; Data engineering teams; Marketing teams; Matrixed environment", "projectManagementSkills" : [ "Complex initiatives" ], "domainKnowledge" : "Digital marketing; Consumer engagement; Advertising platforms; Social platforms; Platform-specific metrics", "domainList" : [ "digital-marketing", "consumer-engagement", "advertising-platforms", "social-platforms", "platform-specific-metrics" ], "domainSpecificKnowledge" : [ "Digital marketing", "Consumer engagement", "Advertising platforms", "Social platforms", "Platform-specific metrics" ], "toolProficiency" : [ "DBT", "Databricks", "Google Ads", "Meta", "TikTok" ], "communicationSkills" : "Technical direction", "documentationSkills" : "Documentation standards", "problemSolvingSkills" : "Data consistency; Data comparability; Data usability", "qualificationsBasic" : "Experience shaping analytics engineering, Hands-on experience working with APIs, Deep understanding of platform-specific metrics, Experience supporting common taxonomies, Expertise in SQL, Expertise in DBT, Expertise in Databricks, Expertise in Azure, Expertise in AWS, Proficiency in Python, Advanced knowledge of dimensional modeling, Advanced knowledge of semantic layer architecture, Advanced knowledge of data warehousing standards, Experience implementing data quality frameworks, Experience implementing validation processes, Experience implementing documentation standards", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "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. Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more. Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS & DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen. For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U. S. by the Civic 50, and a Brand that Matters by Fast Company. For more information, visit https://corporate.hasbro.com or @Hasbro on LinkedIn. We are growing our Enterprise Data & Engineering team! We're looking for a Principal Analytics Engineer to help shape how marketing data is transformed, modeled, and structured to power analytics and business decision-making across the enterprise. Are you motivated by shaping scalable, trusted, analytics-ready data products that drive real impact across digital marketing and consumer engagement? In this role, you will play a key part in evolving the enterprise approach to marketing data modeling, taxonomy, and semantic layer design, helping establish how performance is consistently defined, measured, and compared across platforms. You will operate as a senior technical leader-driving standard methodologies, guiding complex initiatives, and influencing standards-while remaining hands-on in critical areas. You will help enable production-grade transformation frameworks and curated datasets that unify data from major advertising and social platforms, ensuring reporting and business metrics are accurate, consistent, and performant. What You'll Do Contribute to and evolve the enterprise analytics modeling approach for marketing data, including dimensional modeling standards and semantic layer design. Help define and maintain a common marketing taxonomy and metric framework, enabling consistency across platforms and use cases in partnership with business teams. Lead the integration and transformation of data from major advertising platforms (e.g., Google, YouTube, Meta/Facebook, Instagram, TikTok), accounting for differences in platform-specific metrics and definitions. Design scalable data transformation frameworks using DBT, Databricks, and cloud-native technologies. Develop and enhance analytics-ready marketing data products across campaigns, channels, and regions. Establish and promote standards for data quality, testing, documentation, and lineage within the transformation layer. Partner with data engineering and marketing teams to align upstream ingestion (including API-based data sources) with downstream modeling and reporting needs. Influence technical direction and drive alignment across teams in a highly matrixed environment. Lead complex initiatives to improve data consistency, comparability, and usability across marketing analytics. Mentor and guide analytics engineers, elevating modeling practices and technical rigor across the team. What You'll Bring Experience shaping and implementing analytics engineering practices and standards, particularly for marketing or digital advertising data. Strong hands-on experience working with APIs from major advertising platforms (e.g., Google Ads, Meta, TikTok), including data ingestion and normalization challenges. Deep understanding of platform-specific metrics and definitions, and how they vary across ecosystems. Experience supporting or contributing to common taxonomies, metric frameworks, and naming conventions across multiple data sources. Expertise in SQL, DBT, and Databricks, along with cloud platforms such as Azure and/or AWS. Proficiency in Python or similar language for transformation, automation, and API interaction. Advanced knowledge of dimensional modeling, semantic layer architecture, and data warehousing standards. Experience implementing data quality frameworks, validation processes, and documentation standards at scale. Ability to operate at both strategic and hands-on levels, influencing architecture while contributing to key implementations. Strong communication and influence skills, with the ability to align teams and drive outcomes without direct authority. Experience supporting advanced analytics or AI-enabled marketing use cases is a plus. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $151,800—$227,700 USD 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" : "Principal Analytics Engineer at Hasbro. Skills: Analytics engineering, Marketing data, Data modeling, DBT, Databricks. Evolve enterprise analytics modeling approach. Define common marketing taxonomy", "postedDate" : "2026-06-13T21:03:50.767", "createdAt" : "2026-06-13T21:03:50.767", "lastUpdated" : "2026-06-15T08:12:18.752", "ingestTimestamp" : "2026-06-13T21:03:50.767", "mongoId" : "6a2ca3ba74d8ee00a09ad671", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 151800, "salaryAnnualMax" : 227700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analytics engineering", "Data ingestion", "Data normalization", "Dimensional modeling", "Semantic layer architecture", "Data warehousing", "Data quality frameworks", "Validation processes", "Documentation standards", "Leadership", "Mentoring", "Marketing data", "Data modeling", "DBT", "Databricks", "Taxonomy design", "Metric framework", "Data transformation", "Data quality", "Data lineage", "Technical direction", "Complex initiatives", "Digital marketing", "Consumer engagement", "Advertising platforms", "Social platforms", "Platform-specific metrics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Google Ads", "Meta", "TikTok" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 813.2299, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6e9bc74574cbbb386a", "title" : "Data Engineer II", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, international stores", "salary" : { "min" : 132000.0, "max" : 178800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:43:42.526", "fingerprint" : "596afacb400e8f15759495d5e7973c74efc16965a308739b04ab3a9710263220", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199507/apply", "externalId" : "c7d2bbf3-e7f9-4b5f-ad2c-53244536e534", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Java, Scala, Spark, Hadoop, Hive, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Kafka, Flink, DynamoDB", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Distributed systems", "MPP architectures", "NoSQL databases", "Real-time data architectures", "Streaming data architectures" ], "hardSkillsList" : [ "Data quality", "Code reviews", "Design discussions", "Team planning", "Root cause analysis" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Design discussions", "level" : "intermediate" }, { "name" : "Team planning", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data modeling, ETL, Distributed systems", "majorSkillsList" : [ "Data engineering", "Data modeling", "ETL", "Distributed systems" ], "coreResponsibilities" : "Design logical data models, Build logical data models, Optimize logical data models, Design data pipelines, Build data pipelines, Optimize data pipelines, Own data quality, Create self-service access to datasets, Work on data architecture, Collaborate to design data solutions, Write secure code, Write stable code, Write testable code, Write maintainable code, Optimize resource usage, Optimize system hardware, Optimize data storage, Optimize query, Optimize AWS infrastructure, Participate in code reviews, Participate in design discussions, Participate in team planning, Mentor junior team members, Train junior team members, Mentor new peers, Train new peers, Resolve root causes of complex problems, Balance customer requirements, Balance team needs, Stay current on distributed systems technologies", "teamCollaboration" : "Cross-functional engineering teams; Code reviews; Design discussions; Team planning", "domainKnowledge" : "Distributed systems technologies; MPP architectures; NoSQL databases; Real-time data architectures; Streaming data architectures; AI-powered automation; Next-generation data architectures", "domainList" : [ "distributed-systems-technologies", "mpp-architectures", "nosql-databases", "real-time-data-architectures", "streaming-data-architectures", "ai-powered-automation", "next-generation-data-architectures" ], "domainSpecificKnowledge" : [ "Distributed systems technologies", "MPP architectures", "NoSQL databases", "Real-time data architectures", "Streaming data architectures", "AI-powered automation", "Next-generation data architectures" ], "toolProficiency" : [ "AWS", "Spark", "Hadoop", "Hive", "Kafka", "Flink", "DynamoDB" ], "continuousLearning" : "Stay current on distributed systems technologies", "innovationCreativity" : "AI-first transformation; Cutting-edge automation solutions; Next-generation data architectures", "problemSolvingSkills" : "Resolve root causes of complex problems", "qualificationsBasic" : "3+ years data engineering experience, 4+ years SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with Python, Experience with Java, Experience with Scala, Proven ability to work with large-scale datasets, Optimize performance", "qualificationsPreferred" : "Experience with AWS technologies, Experience with big data frameworks, Knowledge of non-relational databases, Experience with real-time/streaming data architectures, Familiarity with CI/CD pipelines, Familiarity with infrastructure-as-code, Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree in related technical field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the Amazon Payments Products - North America Credit (APD-NAC) Data Engineering team, where we build the data infrastructure powering Amazon's credit card businesses. Our team delivers data-driven solutions that impact millions of customers across Amazon's payment ecosystem. We're a high-performing team that consistently delivers while maintaining zero-defect standards through rigorous engineering practices. We're at the forefront of AI-first transformation, implementing cutting-edge automation solutions and next-generation data architectures that drive measurable productivity gains. Our work spans above and beyond the critical business areas such as customer acquisition, fraud detection, product recommendations, financial and executive reporting. As a Data Engineer II, you'll work on high-impact projects (targeting millions of customers), large-scale customer acquisition initiatives, and fraud detection platforms. You'll collaborate with Product Managers, Data Scientists, Business Intelligence Engineers, UX Designers, Software Development Engineers, GMs, and other cross-functional engineering teams to solve complex data challenges at massive scale while driving innovation through AI-powered automation. Key job responsibilities Design, build, and optimize logical data models and data pipelines for complex datasets Own ongoing data quality and create self-service access to datasets for business intelligence Work on major portions of existing or new data architecture within the team Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions Write secure, stable, testable, and maintainable code with minimal defects Apply appropriate data design approaches and make judicious trade-offs without over-engineering Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure Participate actively in code reviews, design discussions, and team planning Mentor and train junior team members and new peers Resolve root causes of complex problems and balance customer requirements with team needs Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases) A day in the life As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence. Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with at least one programming language (Python, Java, Scala). - Proven ability to work with large-scale datasets and optimize performance Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with big data frameworks: Spark, Hadoop, Hive. - Knowledge of non-relational databases (DynamoDB, document stores, graph databases) - Experience with real-time/streaming data architectures (Kafka, Kinesis, Flink) - Familiarity with CI/CD pipelines and infrastructure-as-code - Bachelor's degree in Computer Science, Engineering, or related technical 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 - 132,100.00 - 178,800.00 USD annually", "summaryDescription" : "Data Engineer II at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL, Distributed systems. Design logical data models. Build logical data models", "postedDate" : "2026-06-13T11:58:48.690", "createdAt" : "2026-06-13T11:58:48.690", "lastUpdated" : "2026-06-15T05:43:42.526", "ingestTimestamp" : "2026-06-13T11:58:48.690", "mongoId" : "69c94a6e9bc74574cbbb386a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199507/apply", "salaryAnnualMin" : 132000, "salaryAnnualMax" : 178800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data quality", "Code reviews", "Design discussions", "Team planning", "Root cause analysis", "Data engineering", "Data modeling", "ETL", "Distributed systems", "Data warehousing", "ETL pipelines", "MPP architectures", "NoSQL databases", "Real-time data architectures", "Streaming data architectures", "Distributed systems technologies", "AI-powered automation", "Next-generation data architectures", "AWS", "Spark", "Hadoop", "Hive", "Kafka", "Flink", "DynamoDB" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 810.45654, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3067a5f292fd229cfc00f0", "title" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC))", "company" : "ASM America Inc.", "salary" : { "min" : 190000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Principal Engineer, Systems Engineering in Phoenix, United States, with adjustments for lead seniority, senior experience level, and the technology industry." }, "location" : "AZ Phoenix (ASM America Inc.)", "locations" : [ "AZ Phoenix (ASM America Inc.)" ], "timestamp" : "2026-06-16T09:16:50.419", "fingerprint" : "29ad0b064cee61975c61880e214598e1ba6eb74cc79487b1bb4b852c333e9037", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.asm.com/open-vacancies/?gh_jid=4857016101", "externalId" : "4857016101", "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" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Reporting to the Expert System Engineering Manager, the Principal Engineer for Electrostatic Chuck (ESC) is accountable for the design, and delivery of hardware engineering solutions focused on ESC and heaters technology. The Engineer will be responsible for focusing on the development of highly innovative technologies over legacy solutions. Key Responsibilities Lead the design and development of ESC and heaters hardware platforms and modules. Ensure timely delivery of new components and modules designs including safety, specifications, conceptual configuration, detailed design, factory release, configuration control, and documentation. Support customer-specific designs and product cost reduction initiatives. Drive new technology exploration and development of new processes. Establish budgets and measurable performance indicators for the program/ project Manage engineering projects to meet deliverables, quality, budget, and timing. Foster a collaborative and engaging environment across departments and suppliers. Collaborate with universities, research institutes, and engineering firms for breakthrough technological solutions. Motivated to drive innovation through R&D and create patents. Required Qualifications Master’s degree or PhD in Mechanical or Electrical Engineering. Experience in hardware engineering including semiconductor processing. Expertise in material science including AlN, Al2O3, SiC, and C22 alloys. Understanding of failure modes and process performance behavior. Knowledge of clamping mechanisms and thermal engineering. Experience in vacuum and plasma physics. Proficiency in mechanical design and manufacturing processes. Demonstrated system thinking capabilities. Preferred Skills and Experience Proven ability to create performing components and modules Track record of delivering engineering solutions in multicultural and dynamic environments. Advance thinking and long-term planning. Effective communication across diverse audiences. Team building and networking capabilities. Experience in global organizations. Hands-on R&D experience and familiarity with fab equipment. Supplier management includes communication, negotiation, strategic planning, and problem solving. Innovation mindset Apply today to be part of what’s next. We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect. To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube. ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.", "summaryDescription" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC)) at ASM America Inc.", "postedDate" : "2026-06-15T23:29:02.200", "createdAt" : "2026-06-15T23:29:02.200", "lastUpdated" : "2026-06-16T09:16:50.419", "ingestTimestamp" : "2026-06-15T23:29:02.200", "mongoId" : "6a3067a5f292fd229cfc00f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 810.4074, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca53674d8ee00a09b53be", "title" : "Systems Engineer, Modelling & Physics-AI", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Engineer in Singapore, adjusted for the Government industry and a mid-sized company." }, "location" : "GDP Government Digital Products", "locations" : [ "GDP Government Digital Products" ], "timestamp" : "2026-06-15T09:39:43.171", "fingerprint" : "37f988ee7fffcd67900d8ca29fefa06811772606535fb97c53beff5b8b93b472", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4004147201?gh_jid=4004147201", "externalId" : "4004147201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, AI, ML, Deep Learning, Neural Operators, Geospatial data, NVIDIA Omniverse", "professionalSkills" : [ "Predictive intelligence", "Real-time prediction", "Computational efficiency", "Physically grounded models", "Model validation", "Data reliability", "Trustworthiness" ], "hardSkillsList" : [ "Modelling", "Machine learning", "Deep learning", "Physics-based modelling", "Surrogate modelling", "Spatial data analysis", "AI inference" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Physics-based modelling", "level" : "intermediate" }, { "name" : "Surrogate modelling", "level" : "intermediate" }, { "name" : "Spatial data analysis", "level" : "intermediate" }, { "name" : "AI inference", "level" : "intermediate" } ], "majorSkills" : "Physics-AI, Modelling, Machine Learning, Deep Learning", "majorSkillsList" : [ "Physics-AI", "Modelling", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Provide predictive intelligence layer, Implement surrogate models, Predict system behaviour, Build predictive engines, Design Physics-AI models, Simulate physical phenomena, Develop surrogate models, Replace computationally expensive solvers, Enable real-time planning, Build training pipelines, Handle large-scale data, Apply Neural Operators, Predict environmental effects, Integrate AI inference engines, Visualize predicted outcomes, Validate AI model predictions, Ensure reliability, Ensure trustworthiness", "domainKnowledge" : "Built environment operations; Maritime operations; Aviation operations; Fuel consumption; Structural stress; Wake patterns; Millisecond latency; Spatial data; Wind fields; Tidal currents; Safety-critical operations", "domainList" : [ "built-environment-operations", "maritime-operations", "aviation-operations", "fuel-consumption", "structural-stress", "wake-patterns", "millisecond-latency", "spatial-data", "wind-fields", "tidal-currents", "safety-critical-operations" ], "domainSpecificKnowledge" : [ "Built environment operations", "Maritime operations", "Aviation operations", "Fuel consumption", "Structural stress", "Wake patterns", "Millisecond latency", "Spatial data", "Wind fields", "Tidal currents", "Safety-critical operations" ], "toolProficiency" : [ "NVIDIA PhysicsNeMo", "NVIDIA Omniverse" ], "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, Applied Mathematics degree, Physics degree, Related AI/ML discipline degree, 3 years relevant experience, Modelling experience, Machine learning experience, Deep learning experience, Physical systems focus, Python skills, GPU-accelerated HPC experience, Scientific datasets experience, Physics-based datasets experience, Combine geospatial outputs, Neural solvers understanding, Spatially-aware AI models, Geographic constraints understanding", "qualificationsPreferred" : "NVIDIA PhysicsNeMo experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are seeking a Systems Engineer (Modelling & Physics-AI) to provide the predictive intelligence layer of our Next-Generation Digital Twin platform. Your mission is to move beyond static dashboards by implementing surrogate models that predict system behaviour in real time. You will work at the cutting edge of Physics-AI, building predictive engines for built environment, maritime, and aviation operations that are both computationally efficient and physically grounded. Design and deploy Physics-AI models using NVIDIA PhysicsNeMo to simulate complex physical phenomena such as fuel consumption, structural stress, and wake patterns. Develop surrogate models that replace computationally expensive solvers, enabling real-time \"what-if\" operational planning at millisecond latency. Build and maintain training pipelines for Neural Operators to handle large-scale maritime and aviation spatial data. Apply Neural Operators to geospatial datasets to predict environmental effects such as wind fields and tidal currents across large operational areas. Integrate AI inference engines into the NVIDIA Omniverse ecosystem for real-time visualisation of predicted outcomes. Validate AI model predictions against real-world sensor data to ensure reliability and trustworthiness in safety-critical operational contexts. [What we are looking for] Degree in Computer Science, Applied Mathematics, Physics, or a related AI/ML discipline. At least 3 years of relevant experience in modelling or machine learning, with a focus on deep learning for physical systems. Strong Python skills and experience with GPU-accelerated high-performance computing. Experience working with scientific or physics-based datasets. Understanding of how to combine geospatial outputs with neural solvers to build spatially-aware AI models that respect geographic constraints. Good to have Hands-on experience with NVIDIA PhysicsNeMo. Familiarity with time-series forecasting for IoT sensor data streams. Experience with Physics-Informed Neural Networks (PINNs) or Neural Operators such as FNO or DeepONet. Background in reinforcement learning for autonomous systems such as vessels or drones. What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Systems Engineer, Modelling & Physics-AI at GovTech. Skills: Physics-AI, Modelling, Machine Learning, Deep Learning. Provide predictive intelligence layer. 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Work with category leaders; Work with planning managers; Work with forecasting managers; Work with operations team; Work with technology teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketplace business; Supply chain; Inventory management", "domainList" : [ "marketplace-business", "supply-chain", "inventory-management" ], "domainSpecificKnowledge" : [ "Marketplace business", "Supply chain", "Inventory management" ], "communicationSkills" : "Write business cases", "problemSolvingSkills" : "Data analysis; Problem solving", "outcomesObjectives" : "Deliver on key Ops programs; Make Amazon India business sustainable; Make Amazon India business profitable", "qualificationsBasic" : "3+ years of sales experience, 4+ years of B2B sales experience, Experience analyzing data, Experience closing sales, Generating revenue", "qualificationsPreferred" : "Experience with sales CRM tools, Salesforce or similar software, Influencing C-level executives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dynamic, organized and self-starting Planning and Ops Manager who can drive innovation, set up the processes and execute in the space of operational and supply chain excellence in Amazon India business. This becomes all the more challenging in India where the mode of business is marketplace. You will own operational performance of sellers / vendors on marketplace, influence FC Ops processes and work with various stakeholders to protect vendor & customer experience. You will also be in-charge of driving system/process improvements working with Seller ISMs, SC Ops teams, vendor operations, and delivering on key Ops programs which makes the Amazon India business sustainable and profitable in the long term. You will create, write and review business cases, perform supporting research and analysis, and develop solutions from conceptualization to execution and monitoring. This position requires strong self-motivation, self-starting and project management skills. The ideal candidate will have the ability to work closely with all the category leaders, planning and forecasting managers, operations team, and technology teams to develop strategy, dashboards, and modes of execution to solve complex inbound and inventory health operation problems Key job responsibilities  Ensure seller / vendor operational performance delivery on inbound and inventory health operations are inline with targets  Lead execution for key inbound and inventory health operations excellence programs  Identify and articulate strategic importance of metrics as a basis for managing tradeoffs, improving the customer experience and making decisions with internal and external stakeholders  Work closely with vendor operations teams on strategies to reduce cost, lead time, and waste across the end-to-end supply chain  Define, prioritize, and monitor to execution the programs/projects to achieve targets be delivered on time  Create, write and review business cases, perform supporting research and analysis, write specifications, and drive the product development schedule from strategy to execution.  Retrieve and analyze data using Excel, Access, SQL or other data management systems  Monitor program execution and ensure that the program delivery is to the appropriate levels of quality and in line with its target date, ensuring the overall integrity within the program Basic Qualifications: - 3+ years of sales experience - 4+ years of B2B sales experience - Experience analyzing data and best practices to assess performance drivers - Experience closing sales and generating revenue Preferred Qualifications: - Experience with sales CRM tools such as Salesforce or similar software - Experience influencing C-level executives 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" : "Planning and Ops Manager, SIMS at ASSPL. Skills: Operational performance, Supply chain, Sales experience. Ensure seller operational performance delivery. Ensure vendor operational performance delivery", "postedDate" : "2026-06-13T15:58:19.296", "createdAt" : "2026-06-13T15:58:19.296", "lastUpdated" : "2026-06-15T06:27:28.062", "ingestTimestamp" : "2026-06-13T15:58:19.296", "mongoId" : "6a2a660774d8ee00a062b925", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443500/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance metrics", "Cost reduction", "Lead time reduction", "Waste reduction", "Program monitoring", "Data management", "Operational performance", "Supply chain", "Sales experience", "Supply chain excellence", "Inventory health", "Business cases", "Project management", "Marketplace business", "Inventory management" ], "skillCount" : 16, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 805.8558, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8e70f0b99d5843ff41", "title" : "Systems Development Engineer II, AFSS", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, amazon security", "salary" : { "min" : 116300.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:22:07.357", "fingerprint" : "52e6e5fcb5f3d95d146a3b0579d5d207ab7a223eafe61163892978428000bec4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138369/apply", "externalId" : "0968c04e-fd3f-43d3-9bd4-285560a01e2a", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "IAM, Microsoft Entra ID, Amazon Identity Center, Graph API, SCIM, Python, JAVA, Microsoft DSC", "professionalSkills" : [ "Secure configuration", "Systems engineering", "Software development" ], "hardSkillsList" : [ "IAM domain knowledge", "Role management", "Permission management", "Application management", "Persistence solutions" ], "hardSkills" : [ { "name" : "IAM domain knowledge", "level" : "intermediate" }, { "name" : "Role management", "level" : "intermediate" }, { "name" : "Permission management", "level" : "intermediate" }, { "name" : "Application management", "level" : "intermediate" }, { "name" : "Persistence solutions", "level" : "intermediate" } ], "majorSkills" : "IAM, Entra ID, AWS technology", "majorSkillsList" : [ "IAM", "Entra ID", "AWS technology" ], "coreResponsibilities" : "Maintain IAM infra, Manage Entra ID tenant, Drive secure configuration, Manage roles, Manage permissions, Manage applications, Diagnose production issues, Develop monitoring solutions, Perform software maintenance, Implement fixes, Debug code, Execute persistence queries, Update technical challenges, Track technical challenges, Resolve technical challenges, Write design documents, Build IAM solutions, Work, development, Update software, Enhance software, Automate support processes, Document systems, Manage operational cadence, Manage programs", "teamCollaboration" : "Experienced engineers; Senior software engineers; Business partners; Leadership; Development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Identity and Access Management; Cloud-native architecture", "domainList" : [ "identity-and-access-management", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Identity and Access Management", "Cloud-native architecture" ], "toolProficiency" : [ "Purview", "Defender" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation of systems", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "2+ years software development experience, 1+ years systems design/architecting experience, 3+ years administrative experience, Systems engineering fundamentals knowledge, Automating and configuring systems experience", "qualificationsPreferred" : "PowerShell experience, Python experience, Ruby experience, Java experience, Agile environment experience, Scrum methodology experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are open to hiring candidates to work out of the following location: Seattle, WA, USA As a Systems Development Engineer on this team, you will collaborate with other experienced and senior software engineers to drive improvements to our technology, operate and maintain services and software solutions, and build and track metrics to ensure high quality results. Your solutions will help provide the ultimate customer service experience needed to anticipate and resolve customer's questions using an automated assistant. You will have the opportunity to work with business partners, leadership and other engineers, influence and drive product vision and lead the design of our systems. Key job responsibilities Primary responsibilities include, maintaining the IAM (Identity and Access Management) infra of Amazon. We are using Microsoft Entra ID to provide identity to M365 suite of productivity tooling. The candidate is expected to manage and drive secure configuration and feature in Entra ID tenant with AWS technology being in forefront. • Expert knowledge in IAM domain with prior experience in AzureAD/Entra ID and Amazon's Identity Center. • Managed and configured roles, permissions, applications in Entra ID/Azure AD tenant and in supplemental portals like Purview, Defender. • Diagnosing and fixing production issues, developing monitoring solutions for IAM services, performing software maintenance and configuration. • Implementing the fix for internally developed code (Microsoft DSC ,Graph API, SCIM, Python, JAVA), debugging and executing persistence solutions queries, updating, tracking and resolving technical challenges. • Writing design documents, building new IAM solutions to support customer needs. • Responsibilities also include working alongside development on Amazon Corporate and Divisional Software projects, updating/enhancing our current software, automation of support processes, documentation of our systems, manage AFSS org level operational cadence and programs. A day in the life You will get a comprehensive view of all aspects of Amazon's business. You will have the opportunity to work with massive data sets and improve the agility of our technical teams. You will be part of a growing, fast-paced, and innovative team. You will have ownership and responsibility to define and execute processes that enhance the productivity and savings for AWS and Amazon. Our ideal candidate will have a strong background in software development with experience in identity directory systems architecture. Strong written and verbal communication skills are essential. The candidate should have a successful track record of delivering large-scale engineering solutions. The desire and ability to work in a fast-paced, collaborative environment is crucial. Join us in this high-impact opportunity that offers interesting challenges and high visibility. Be prepared for a rigorous technical interview process as we're looking for the highest quality candidates. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the 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 flexible work hours and arrangements are part of our 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 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 automating and configuring systems using the Desired State Configuration (DSC) in a large enterprise environment 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. 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 Engineer II, AFSS at Amazon.com Services LLC. Skills: IAM, Entra ID, AWS technology. Maintain IAM infra. Manage Entra ID tenant", "postedDate" : "2026-06-13T04:25:42.571", "createdAt" : "2026-06-13T04:25:42.571", "lastUpdated" : "2026-06-15T03:22:07.357", "ingestTimestamp" : "2026-06-13T04:25:42.571", "mongoId" : "693c2b8e70f0b99d5843ff41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138369/apply", "salaryAnnualMin" : 116300, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "IAM domain knowledge", "Role management", "Permission management", "Application management", "Persistence solutions", "IAM", "Entra ID", "AWS technology", "Secure configuration", "Systems engineering", "Software development", "Agile", "Scrum", "Identity and Access Management", "Cloud-native architecture", "Purview", "Defender" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 796.61957, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f835e84c40e2acd1eb7513", "title" : "Planning and Ops Manager, SIMS", "company" : "ASSPL", "industry" : "Buying, Planning, Instock Management, Sales/Account Management, Retail", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Planning and Ops Manager in E-commerce in Bengaluru, India, adjusted for company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T03:11:31.095", "fingerprint" : "f1417f69e946d84329dbf55466132cc123a09f88a95e90d44e8cf5f0be83971f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409679/apply", "externalId" : "08390be8-0068-450d-880f-e1f9b7dbe1d6", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Access, SQL", "professionalSkills" : [ "Supply chain excellence", "Operational performance", "Inventory health", "Business cases", "Project management" ], "hardSkillsList" : [ "Data analysis", "Sales analysis", "Performance analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Sales analysis", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Sales, Operations, Supply chain", "majorSkillsList" : [ "Sales", "Operations", "Supply chain" ], "coreResponsibilities" : "Own operational performance, Influence FC Ops processes, Work with stakeholders, Drive system improvements, Deliver on Ops programs, Create business cases, Perform research, Develop solutions, Ensure seller operational performance, Lead operations excellence programs, Identify strategic importance of metrics, Manage tradeoffs, Improve customer experience, Make decisions, Work with vendor operations teams, Reduce cost, Reduce lead time, Reduce waste, Define programs, Prioritize programs, Monitor program execution, Write specifications, Drive product development, Retrieve data, Analyze data, Monitor program integrity", "teamCollaboration" : "Work with category leaders; Work with planning managers; Work with operations team; Work with technology teams; Work with Seller ISMs; Work with SC Ops teams; Work with vendor operations", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketplace business; Supply chain", "domainList" : [ "marketplace-business", "supply-chain" ], "domainSpecificKnowledge" : [ "Marketplace business", "Supply chain" ], "toolProficiency" : [ "Salesforce" ], "problemSolvingSkills" : "Data analysis; Problem solving", "outcomesObjectives" : "Deliver on key Ops programs; Achieve targets", "qualificationsBasic" : "3+ years of sales experience, 4+ years of B2B sales experience, Experience analyzing data, Experience closing sales, Generating revenue", "qualificationsPreferred" : "Experience with sales CRM tools, Experience influencing C-level executives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dynamic, organized and self-starting Planning and Ops Manager who can drive innovation, set up the processes and execute in the space of operational and supply chain excellence in Amazon India business. This becomes all the more challenging in India where the mode of business is marketplace. You will own operational performance of sellers / vendors on marketplace, influence FC Ops processes and work with various stakeholders to protect vendor & customer experience. You will also be in-charge of driving system/process improvements working with Seller ISMs, SC Ops teams, vendor operations, and delivering on key Ops programs which makes the Amazon India business sustainable and profitable in the long term. You will create, write and review business cases, perform supporting research and analysis, and develop solutions from conceptualization to execution and monitoring. This position requires strong self-motivation, self-starting and project management skills. The ideal candidate will have the ability to work closely with all the category leaders, planning and forecasting managers, operations team, and technology teams to develop strategy, dashboards, and modes of execution to solve complex inbound and inventory health operation problems Key job responsibilities  Ensure seller / vendor operational performance delivery on inbound and inventory health operations are inline with targets  Lead execution for key inbound and inventory health operations excellence programs  Identify and articulate strategic importance of metrics as a basis for managing tradeoffs, improving the customer experience and making decisions with internal and external stakeholders  Work closely with vendor operations teams on strategies to reduce cost, lead time, and waste across the end-to-end supply chain  Define, prioritize, and monitor to execution the programs/projects to achieve targets be delivered on time  Create, write and review business cases, perform supporting research and analysis, write specifications, and drive the product development schedule from strategy to execution.  Retrieve and analyze data using Excel, Access, SQL or other data management systems  Monitor program execution and ensure that the program delivery is to the appropriate levels of quality and in line with its target date, ensuring the overall integrity within the program Basic Qualifications: - 3+ years of sales experience - 4+ years of B2B sales experience - Experience analyzing data and best practices to assess performance drivers - Experience closing sales and generating revenue Preferred Qualifications: - Experience with sales CRM tools such as Salesforce or similar software - Experience influencing C-level executives 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" : "Planning and Ops Manager, SIMS at ASSPL. Skills: Sales, Operations, Supply chain. Own operational performance. Influence FC Ops processes", "postedDate" : "2026-06-13T07:42:38.444", "createdAt" : "2026-06-13T07:42:38.444", "lastUpdated" : "2026-06-15T03:11:31.095", "ingestTimestamp" : "2026-06-13T07:42:38.444", "mongoId" : "69f835e84c40e2acd1eb7513", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409679/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Sales analysis", "Performance analysis", "Sales", "Operations", "Supply chain", "Supply chain excellence", "Operational performance", "Inventory health", "Business cases", "Project management", "Marketplace business", "Salesforce" ], "skillCount" : 13, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 796.02, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3062d3f292fd229cf9b74b", "title" : "Principal GNC Engineer", "company" : "Astroscale U. S.", "industry" : "Defense And Space", "salary" : { "min" : 170000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, CO, United States", "locations" : [ "Denver", "CO", "United States" ], "timestamp" : "2026-06-16T10:09:22.865", "fingerprint" : "5b7c8146a72b0d205c285ece5c5495cadae7d50c2d72565083d4f3cddec4f452", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AstroscaleUS/744000132232269-principal-gnc-engineer", "externalId" : "744000132232269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Guidance Navigation Control, Rendezvous Proximity Operations, Flight dynamics, Control law, Algorithm development", "professionalSkills" : [ "System design", "Mission design", "Policy expertise", "Economics expertise", "Technical feedback", "Commercial awareness", "Risk assessment" ], "hardSkillsList" : [ "Optimal control", "Dynamic systems modeling", "Simulation analysis" ], "hardSkills" : [ { "name" : "Optimal control", "level" : "intermediate" }, { "name" : "Dynamic systems modeling", "level" : "intermediate" }, { "name" : "Simulation analysis", "level" : "intermediate" } ], "majorSkills" : "Guidance Navigation Control, Rendezvous Proximity Operations, Control law development", "majorSkillsList" : [ "Guidance Navigation Control", "Rendezvous Proximity Operations", "Control law development" ], "coreResponsibilities" : "Design GNC systems, Develop GNC systems, Test GNC systems, Architect GNC systems, Lead GNC systems development, Design GNC solution, Implement GNC solution, Drive system level activities, Analyze control law, Design control law, Implement control law, Validate scenarios, Review engineering staff, Mentor engineering staff, Provide technical feedback, Support internal review, Lead customer meetings, Participate customer meetings, Lead supplier meetings, Participate supplier meetings, Prepare technical responses, Prepare presentation materials, Prepare reports, Liaise with customer staff, Liaise with supplier staff, Liaise with global staff, Balance technical risks, Balance programmatic risks, Balance commercial risks", "teamCollaboration" : "Work independently; Work as part of team; Customer meetings; Supplier meetings; Global Astroscale staff", "domainKnowledge" : "Space systems; On-orbit servicing; Rendezvous proximity operations; Debris removal; Refueling; Flight dynamics trajectory; System requirements; Mission needs; Concept of operations; Failure detection isolation recovery; Operator ground segment interaction; Commercial projects; Commercial products", "domainList" : [ "space-systems", "on-orbit-servicing", "rendezvous-proximity-operations", "debris-removal", "refueling", "flight-dynamics-trajectory", "system-requirements", "mission-needs", "concept-of-operations", "failure-detection-isolation-recovery", "operator-ground-segment-interaction", "commercial-projects", "commercial-products" ], "domainSpecificKnowledge" : [ "Space systems", "On-orbit servicing", "Rendezvous proximity operations", "Debris removal", "Refueling", "Flight dynamics trajectory", "System requirements", "Mission needs", "Concept of operations", "Failure detection isolation recovery", "Operator ground segment interaction", "Commercial projects", "Commercial products" ], "communicationSkills" : "Presentation materials; Reports", "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Failure detection isolation recovery", "specialRequirements" : "U. S. citizen, Obtain TS/SCI clearance", "qualificationsBasic" : "12+ years GNC systems design, Subject-matter expertise in control, Experience with physics-based modeling, Experience with Monte Carlo simulation, Knowledge of sensors and actuators, Experience with GNC system design, Experience with GNC system testing, U. S. citizen, Ability to obtain TS/SCI clearance", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, Aerospace background preferred, Defense background preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Astroscale U.S. is dedicated to the global Astroscale vision of ensuring the safe and sustainable development of space for future generations. Astroscale U.S. Inc. is a leading provider of on-orbit servicing solutions — including inspection, transportation, life extension, debris removal and refueling — for the U.S. government and commercial operators around the world. Headquartered in Denver, Colorado, Astroscale U.S. applies world-class rendezvous, proximity operations and docking capabilities, mission design, policy, and economics expertise to solve the complex challenges our customers face. Astroscale U.S. Inc. is currently seeking a Principal GNC Engineer to join our team in our Denver, Colorado location. In this role you will design, develop and test guidance, navigation and control systems specifically for rendezvous and proximity operations missions. * Architect Guidance Navigation and Control systems capable of meeting the mission needs of Rendezvous and Proximity Operations (RPO) including different flight dynamics trajectory designs * Lead the GNC systems development for an Astroscale U.S. program including the design and implementation of the GNC solution (hardware and algorithms) to meet the system requirements and mission needs. * Drive system level activities, particularly those influenced by GNC, such as concept of operations (CONOPS), failure, detection, isolation and recovery (FDIR), maneuvers, operator and ground segment interaction, system test and verification. * Control law and algorithm development – analyze, design, implement and validate scenarios, including those for RPO. * Review and mentor other engineering staff, including providing expert technical feedback, and supporting internal review. * Lead and actively participate in customer and supplier meetings. * Prepare technical responses to bids, presentation materials and reports. * Liaise with customer, supplier staff, and staff from other parts of Astroscale globally. * Leverage commercial awareness, and an ability to balance and trade technical, programmatic and commercial risks in the context of commercial projects and products. ## Qualifications * A bachelor’s degree, master’s degree or PhD in engineering or a related technical discipline from an accredited institution. * Experienced professional with greater than 12 years’ experience in GNC systems design, engineering and operations. * Subject-matter expertise in traditional and optimal control. * Experience with physics-based modeling of dynamic systems and Monte Carlo simulation analysis. * Knowledge of sensors and actuators and their impact to a GNC system * Experience at the front end of a GNC system design and back-end GNC system testing * Strong communication, computer, documentation, presentation, and interpersonal skills are required, as well as the ability to work both independently and as part of a team. * U.S. citizen with the ability to obtain a TS/SCI security clearance. ## Additional Information If you’re passionate about our mission and believe you’d be an outstanding addition to our team, don’t worry about checking every single box—or having a background solely in aerospace or defense. At Astroscale U.S., we’re committed to fostering a diverse, inclusive, and open-minded environment. We embrace a wide range of perspectives, experiences, and ways of thinking. If you’re excited about contributing to our work and think you’d thrive in this role, we encourage you to apply. Salary range: _$170,000 – $195,000. The salary range represents the low and high end of the Astroscale U.S. Inc. salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to experience, knowledge, and ability as applicable to the role. The application deadline is June 28, 2026._ Please note Astroscale U.S. is a U.S. Government registered, export control compliant company, as such applicants should be a U.S. person or U.S. citizen. Astroscale U.S. Inc. is an E-Verify employer.", "summaryDescription" : "Principal GNC Engineer at Astroscale U. S.. Skills: Guidance Navigation Control, Rendezvous Proximity Operations, Control law development. Design GNC systems. 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Hiring teams; Recruiter and researcher teams; Technical and business leaders", "projectManagementSkills" : [ "Executive search processes" ], "domainKnowledge" : "Senior engineering talent; Technology sectors; Technical domains; Principal Engineers; Senior Principal Engineers", "domainList" : [ "senior-engineering-talent", "technology-sectors", "technical-domains", "principal-engineers", "senior-principal-engineers" ], "domainSpecificKnowledge" : [ "Senior engineering talent", "Technology sectors", "Technical domains", "Principal Engineers", "Senior Principal Engineers" ], "toolProficiency" : [ "HRIS", "ATS" ], "communicationSkills" : "Client updates; Market conditions", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Shape future engineering community; Improve talent acquisition capabilities", "qualificationsBasic" : "7+ years recruiting experience, Bachelor's degree or above, Recruit and hire engineering candidates, Manage complex executive search, Provide strategic talent counsel", "qualificationsPreferred" : "Experience with HRIS, Experience with ATS, Experience with interview process, Experience with onboarding process", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a client lead recruiter, you'll have the unique opportunity to impact leadership teams across Amazon's diverse technology landscape, building relationships with Directors and VPs while shaping the future of Amazon's senior engineering community. Key job responsibilities • Serve as the primary talent advisor to Directors and VPs, educating leaders on the external senior engineering talent landscape and market dynamics • Define and deliver recruiting strategies for highly-critical, sometimes confidential roles with broad cross-organizational impact • Identify and engage highly passive senior engineering candidates through creative, research-driven sourcing strategies • Build and cultivate robust talent networks across technology sectors, leveraging deep industry knowledge and relationships • Lead client update meetings on active searches, providing clear, data-driven insights on progress and market conditions • Provide candid guidance to executive leadership on matters related to top technical talent • Make sound judgments about candidate fit based on comprehensive analysis of technical depth and leadership impact • Conduct thorough candidate assessments, participate in debriefs, perform comprehensive reference checks, and present/negotiate employment offers • Coach leaders to continuously improve their talent acquisition capabilities at the senior level • Set exceptionally high standards for search quality, candidate experience, and recruiting excellence • Investigate deeply into technical domains, candidate backgrounds, and market trends to inform strategy A day in the life Your day begins with strategic planning sessions discussing talent gaps and market intelligence for critical Principal Engineer searches. You'll spend time researching and engaging passive candidates through personalized outreach, leveraging your extensive network and industry knowledge. Mid-day might involve leading a client update meeting where you present market analysis and candidate pipeline progress, followed by conducting in-depth technical assessments with potential candidates. You'll collaborate with your team of recruiters and researchers, sharing insights on emerging talent pools and coaching colleagues. Afternoons often include candidate debriefs with hiring teams, where you provide perspective on technical depth and leadership potential. You'll also dedicate time to building relationships with industry leaders and technical communities, staying ahead of market trends. Throughout the day, you'll make high-stakes decisions with incomplete information, balancing urgency with thoroughness to secure world-class engineering talent. About the team The Global Specialty Recruiting (GSR) team partners with technical and business leaders across all of Amazon's businesses to hire the company's most senior engineering talent. Our team specializes in recruiting Principal Engineers and Senior Principal Engineers– Amazon's most senior technical contributors who set the standard for engineering excellence and drive innovation across the company. Basic Qualifications: - 7+ years of progressive corporate or search firm recruiting work with a focus on passive engineering candidate generation in a high tech market experience - Bachelor's degree or above - • Demonstrated ability to recruit and hire engineering candidates. - • Proven track record of managing complex executive search processes including client management, candidate development, and offer negotiation - • Experience working with senior executives and providing strategic talent counsel Preferred Qualifications: - Experience with executive recruiting in either a blue-chip, global in-house executive search team, or a top executive search firm - Deep expertise in technology recruiting with ability to quickly learn new technical and product domains - Experience mentoring and developing other recruiters 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, CA, SANTA CLARA - 157,100.00 - 212,600.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Senior Recruiter, Principal Engineer Recruiting, PE Recruiting at Amazon.com Services LLC. Skills: Principal Engineer recruiting, Senior engineering talent, Talent strategy. Serve as talent advisor. Define recruiting strategies", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T09:29:11.531", "lastUpdated" : "2026-06-15T06:43:19.728", "ingestTimestamp" : "2026-06-14T09:29:11.531", "mongoId" : "6a2cc3ad74d8ee00a0a0a206", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447918/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Engineering candidate generation", "Technical assessments", "Reference checks", "Leadership", "Principal Engineer recruiting", "Senior engineering talent", "Talent strategy", "Talent advising", "Client management", "Candidate development", "Offer negotiation", "Market analysis", "Talent acquisition", "Executive search", "Executive search processes", "Technology sectors", "Technical domains", "Principal Engineers", "Senior Principal Engineers", "HRIS", "ATS" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 790.04333, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f1074d8ee00a08e8b46", "title" : "Principal Engineer", "company" : "Takealot Group", "industry" : "E-commerce", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Principal Engineer in the E-Commerce industry in Cape Town, South Africa, adjusted for seniority and company size." }, "location" : "Cape Town, Western Cape, South Africa", "locations" : [ "Cape Town", "Western Cape", "South Africa" ], "timestamp" : "2026-06-15T02:30:11.162", "fingerprint" : "8ecc5ccacd06f086d8fae9dcbb6727c48eb75792ec85050e05670cb02bd442ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/takealotgroup/jobs/7984450", "externalId" : "7984450", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cape Town", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9288301,18.4172197" } ], "locationText" : "Cape Town, Western Cape, South Africa", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, Machine Learning", "professionalSkills" : [ "System design", "Technical architecture", "Technical alignment", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Hyper-scale systems" ], "softSkillsList" : [ "Visionary", "Strategic", "Negotiation", "Conflict resolution" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Hyper-scale systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Visionary" }, { "name" : "Strategic" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" } ], "coreResponsibilities" : "Drive technical architecture, Lead design of systems, Lead architecture of systems, Architect future of retail, Architect future of logistics, Build hyper-scale systems, Build highly available systems, Process immense throughput, Pioneer new paradigms, Unlock new business capabilities, Act as bridge, Think globally, Architect systemically, Ensure platforms scale, Drive technical excellence, Lead greenfield incubation, Mitigate systemic risks, Elevate engineering capabilities", "teamCollaboration" : "Conflicting requirements; Organisational transformations", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Retail; Logistics; E-commerce; Distributed systems; Hyper-scale systems", "domainList" : [ "retail", "logistics", "e-commerce", "distributed-systems", "hyper-scale-systems" ], "domainSpecificKnowledge" : [ "Retail", "Logistics", "E-commerce", "Distributed systems", "Hyper-scale systems" ], "continuousLearning" : "Online learning; Upskill", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years experience", "qualificationsPreferred" : "Innovation ability, Navigate ambiguity, Lead transformations", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Principal Engineer to join the Engineering team based in South Africa. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us! Think you’ve been challenged before? Think again! Scale: 4 million happy shoppers shop online on takealot.com. Show them what you can do. Learn: We work with the best of the best, and then some. Code alongside industry leaders and up-skill in record time. Grow: Expand your career in the fast-growing Takealot Group: takealot.com, Mr D and TFS. We like to promote from within: Here’s your chance. Purpose of the role: Takealot Group operates at an unprecedented scale, powering the e-commerce infrastructure for millions of South Africans through Takealot, Mr D, and TFS. Architecting the future of retail and logistics in Africa requires building hyper-scale, highly available distributed systems that can process immense throughput with zero downtime, while simultaneously pioneering new technological paradigms to unlock new business capabilities. As a Principal Software Engineer, you are a pragmatic visionary and a strategic force multiplier across the engineering organization. You act as the bridge between ambitious business goals and robust technology solutions. Your purpose is to think globally and architect systemically, ensuring platforms scale gracefully while driving technical excellence, leading 0-to-1 greenfield incubation, mitigating systemic risks, and elevating the capabilities of the entire engineering group. Key responsibilities: Drive Technical Architecture: Lead the design and architecture of highly scalable, available, and secure distributed systems across the Takealot Group. Innovation able to earn and sustain the respect of highly technical professionals. Ability to navigate extreme ambiguity, drive technical alignment across conflicting requirements, and lead teams through complex organisational transformations. Strong negotiation, conflict resolution, and technical project management skills. Able to plan ahead, proactively identify technology trends, estimate workload, and prioritise effectively across multiple simultaneous initiatives. Let’s talk about life @ Takealot Group The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny. No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab and make something great. Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds. Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best. Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Upskill with free access to courses on MyAcademy, Udacity, Coursera, and more. Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times) Staff discount: Millions of products across 28 departments. What more could you ask for? Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. Right tools, right job: Mac or Linux, two monitors or one. Whatever your preference, you’ll work on the latest tech, of the latest tech. Help when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere. Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes and all things machine learning. If you build it, they will come. Free parking: No more 5km fun runs to your desk (unless you want to). Like what you see? If you meet the above you are an Extraordinary Mind. Apply today!! Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference", "summaryDescription" : "Principal Engineer at Takealot Group. Drive technical architecture. Lead design of systems", "postedDate" : "2026-06-12T22:28:07.636", "createdAt" : "2026-06-12T22:28:07.636", "lastUpdated" : "2026-06-15T02:30:11.162", "ingestTimestamp" : "2026-06-12T22:28:07.636", "mongoId" : "6a2c5f1074d8ee00a08e8b46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Hyper-scale systems", "Visionary", "Strategic", "Negotiation", "Conflict resolution", "System design", "Technical architecture", "Technical alignment", "Project management", "Retail", "Logistics", "E-commerce" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "takealot-engineering", "dataQualityScore" : 0.8888889, "_score" : 786.30743, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-commerce" }, { "id" : "6a2cb68174d8ee00a09f227a", "title" : "Principal Electrical / Systems Engineer — Interventional X-Ray Systems", "industry" : "Manufacturing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Electrical/Systems Engineer in Sanford, US, adjusted for lead seniority and full-time employment in the healthcare industry." }, "location" : "Sanford, FL, FL", "locations" : [ "Sanford, FL, FL" ], "timestamp" : "2026-06-15T11:59:35.324", "fingerprint" : "21cc9c5e9e7f911c428ccdc00934e977748b076e1ed6bbf8cf8429fe0e8cb0f3", "source" : "jazzhr", "language" : "en", "externalId" : "2VOMwRZLVo", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sanford", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.8117345,-81.2680223" } ], "locationText" : "Sanford, Florida, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Electrical engineering, Systems engineering, Schematic capture, PCB layout, Embedded systems, Firmware development, Signal integrity, Power electronics, FPGA design, VHDL, Verilog, C/C++, Python, Linux, Real-time operating systems, Medical imaging, X-ray systems", "professionalSkills" : [ "System design", "Product development", "Project management", "Technical leadership" ], "hardSkillsList" : [ "Circuit design", "Component selection", "System integration", "Test automation", "Failure analysis" ], "hardSkills" : [ { "name" : "Circuit design", "level" : "intermediate" }, { "name" : "Component selection", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "majorSkills" : "Electrical engineering, Systems engineering, Medical device development", "majorSkillsList" : [ "Electrical engineering", "Systems engineering", "Medical device development" ], "coreResponsibilities" : "Design electrical systems, Develop embedded firmware, Perform system integration, Conduct design verification, Support product lifecycle, Collaborate with cross-functional teams, Mentor junior engineers, Document designs and processes", "teamCollaboration" : "Cross-functional teams; Product development teams", "projectManagementSkills" : [ "Agile methodologies", "Project planning" ], "domainKnowledge" : "Medical device regulations; FDA requirements; Interventional X-ray technology; Medical imaging physics", "domainList" : [ "medical-device-regulations", "fda-requirements", "interventional-x-ray-technology", "medical-imaging-physics" ], "domainSpecificKnowledge" : [ "Medical device regulations", "FDA requirements", "Interventional X-ray technology", "Medical imaging physics" ], "toolProficiency" : [ "Altium Designer", "Cadence Allegro", "Xilinx Vivado", "MATLAB", "Simulink", "JIRA", "Confluence" ], "communicationSkills" : "Technical documentation; Design reviews", "documentationSkills" : "Technical writing; Design specifications; Test plans", "problemSolvingSkills" : "Root cause analysis; Troubleshooting complex issues", "qualificationsBasic" : "5+ years electrical engineering, 5+ years systems engineering, Bachelor's degree in Electrical Engineering or related field", "qualificationsPreferred" : "Master's degree in Electrical Engineering or related field, Experience with medical device development, Experience with interventional X-ray systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Principal Electrical / Systems Engineer — Interventional X-Ray Systems. 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Eng) license" ], "timestamp" : "2026-06-16T01:44:29.548", "fingerprint" : "d512e568f6052931eda614d82d0bf3a464acfc58b503ec8a0c41313d1b5a952f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=771271", "externalId" : "771271", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 20, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Engineering analysis", "Engineering design" ], "projectManagementSkills" : [ "Project execution" ], "toolProficiency" : [ "Microsoft Office", "Standard design software" ], "qualificationsBasic" : "Bachelor's degree in Engineering, 20 years of experience, Professional engineering license, Extensive experience in project execution, Proficient computer skills, Technical leadership experience", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree in Engineering A minimum of 20 years of experience Requires professional engineering license recognized by the licensing board for the location of the position offered. Example: Professional Engineer (PE or P.Eng) license. Extensive experience in project execution Proficient computer skills in Microsoft Office as well as standard design software. Must be comfortable being viewed as a technical expert in engineering analysis and design and have proven background of technical leadership on these types of projects An attitude and commitment to being an active participant of our employee-owned culture 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. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-Toronto", "summaryDescription" : "Principal Engineer at HDR", "createdAt" : "2026-06-14T20:48:34.001", "lastUpdated" : "2026-06-16T01:44:29.548", "ingestTimestamp" : "2026-06-14T20:48:34.001", "mongoId" : "6a16291c58b93c861e95a25d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Engineering analysis", "Engineering design", "Project execution", "Professional Engineer (PE or P. Eng) license", "Microsoft Office", "Standard design software" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 784.7257, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc2b074d8ee00a0a07307", "title" : "Principal Software Engineer", "company" : "Multitude Insights", "industry" : "Engineering", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Principal Software Engineer in the SaaS industry, with adjustments for executive seniority and remote work, using India as the baseline country." }, "location" : "Remote ", "locations" : [ "Remote " ], "timestamp" : "2026-06-15T12:11:34.838", "fingerprint" : "795fd433db4933e7a93e431271596764fe335da32bb4232fd3e2375af325cdc1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/multitude%20insights/d18bd932-1a34-4a81-8482-d059152535f3/application", "externalId" : "d18bd932-1a34-4a81-8482-d059152535f3", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, FastAPI, PostgreSQL, OpenSearch, SQL", "professionalSkills" : [ "Systems design", "API design", "SaaS products", "Technical strategy" ], "hardSkillsList" : [ "Backend development", "Distributed systems", "Production infrastructure", "Backend services", "Backend APIs", "Multi-tenancy", "Authentication", "Versioning", "Developer experience", "SQL optimization", "Security design", "Fault tolerance", "Observability" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Production infrastructure", "level" : "intermediate" }, { "name" : "Backend services", "level" : "intermediate" }, { "name" : "Backend APIs", "level" : "intermediate" }, { "name" : "Multi-tenancy", "level" : "intermediate" }, { "name" : "Authentication", "level" : "intermediate" }, { "name" : "Versioning", "level" : "intermediate" }, { "name" : "Developer experience", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Security design", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Distributed systems, API design, SaaS architecture", "majorSkillsList" : [ "Backend systems", "Distributed systems", "API design", "SaaS architecture" ], "coreResponsibilities" : "Architect backend systems, Build backend systems, Lead design development, Develop scalable services, Develop production-grade services, Develop APIs, Define engineering best practices, Enforce engineering best practices, Define coding standards, Enforce coding standards, Define architectural patterns, Enforce architectural patterns, Conduct code reviews, Provide technical guidance, Grow culture of craft, Grow continuous improvement, Drive infrastructure evolution, Evolve infrastructure for reliability, Evolve infrastructure for performance, Evolve infrastructure for scalability, Evolve observability, Evolve fault tolerance, Evolve security, Partner with product, Partner with design, Partner with executive leadership, Translate business objectives, Translate into technical strategy", "teamCollaboration" : "Cross-functional leadership; Engineering teams", "domainKnowledge" : "Public safety; AI-powered platform; Real-time platform; SaaS platform; Distributed systems; Multi-tenancy; Fault tolerance; Observability; Security; Cloud infrastructure", "domainList" : [ "public-safety", "ai-powered-platform", "real-time-platform", "saas-platform", "distributed-systems", "multi-tenancy", "fault-tolerance", "observability", "security", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Public safety", "AI-powered platform", "Real-time platform", "SaaS platform", "Distributed systems", "Multi-tenancy", "Fault tolerance", "Observability", "Security", "Cloud infrastructure" ], "communicationSkills" : "Make trade-offs legible", "qualificationsBasic" : "10+ years backend development, Senior, staff, or principal-level roles, Backend systems design expertise, Distributed systems expertise, Complex production infrastructure ownership, Scalable backend services development, Backend APIs design, Multi-tenancy design, Authentication design, Versioning design, Developer experience design, SQL proficiency, Security design, Fault tolerance design, Observability design, Technical direction setting", "qualificationsPreferred" : "Startup experience preferred, Mission-critical environment experience preferred, CI/CD pipelines experience a plus, Cloud infrastructure experience a plus, AWS experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT MULTITUDE INSIGHTS Multitude Insights builds modern tools for public safety agencies. Our flagship product, BLTN, is a real-time, AI-powered bulletin sharing platform that replaces the legacy email workflows police departments have relied on for decades. By enabling officers and analysts to easily create, search, and link bulletins across agencies, we’re turning static documents into actionable intelligence, faster, safer, and more connected. We’re a venture-backed team of engineers, public safety professionals, and veterans working closely with law enforcement customers across the country. Our mission is to give the people who keep us safe the tools they actually need. THE ROLE We’re looking for a Principal Software Engineer to take technical ownership of our backend systems and help shape engineering culture across the organization. This isn’t just a senior IC role, you’ll be at the heart of a mission-critical SaaS platform used by public safety professionals nationwide, setting the architectural direction, mentoring engineers at every level, and working closely with the VP of Engineering and cross-functional leadership to move fast without breaking things. This is a hands-on role with organizational scope, ideal for someone who wants to build and scale real-world systems while investing in the people around them. RESPONSIBILITIES • Architect & Build: Take end-to-end ownership of our backend systems, leading the design and development of scalable, production-grade services and APIs. • Set the Standard: Define and enforce engineering best practices, coding standards, and architectural patterns across the organization. • Lead & Mentor: Conduct code reviews, provide technical guidance, and grow a culture of craft and continuous improvement across engineering teams at all levels. • Own the Platform: Drive the evolution of our infrastructure for reliability, performance, and scalability including observability, fault tolerance, and security. • Collaborate Cross-Functionally: Partner closely with product, design, and executive leadership to translate business objectives into concrete technical strategy. • Deploy & Operate (Bonus): Experience with CI/CD pipelines and cloud infrastructure is a plus, but not a core requirement of the role. QUALIFICATIONS • 10+ years of backend development experience, including significant time in senior, staff, or principal-level roles. • Deep expertise in backend systems design and distributed systems, with a track record of owning complex production infrastructure. • Architect & Build: Lead the development of scalable backend services using Python, FastAPI, PostgreSQL, and OpenSearch. • Proven experience designing and building backend APIs for SaaS products, including multi-tenancy, authentication, versioning, and developer experience. • Strong proficiency in SQL and experience designing for security, fault tolerance, and observability. • Experience setting technical direction at an organizational level, not just within a single team. • Strong communication skills and the ability to make technical trade-offs legible to non-technical stakeholders. • Prior startup or mission-critical environment experience strongly preferred. • Bonus: Hands-on experience with CI/CD pipelines and cloud infrastructure (e.g. AWS) at scale. If you’re looking to lead meaningful technical work and help shape a platform used by real-world operators, we’d love to talk.", "summaryDescription" : "Principal Software Engineer at Multitude Insights. Skills: Backend systems, Distributed systems, API design, SaaS architecture. Architect backend systems. Build backend systems", "createdAt" : "2026-06-14T04:47:17.613", "lastUpdated" : "2026-06-15T12:11:34.838", "ingestTimestamp" : "2026-06-14T04:47:17.613", "mongoId" : "6a2cc2b074d8ee00a0a07307", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "Distributed systems", "Production infrastructure", "Backend services", "Backend APIs", "Multi-tenancy", "Authentication", "Versioning", "Developer experience", "SQL optimization", "Security design", "Fault tolerance", "Observability", "Backend systems", "API design", "SaaS architecture", "Systems design", "SaaS products", "Technical strategy", "Public safety", "AI-powered platform", "Real-time platform", "SaaS platform", "Security", "Cloud infrastructure" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 782.2739, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 101586, "totalPages" : 2032, "hasNext" : true, "hasPrevious" : false } }

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