{ "count" : 110584, "data" : [ { "id" : "6a30811cf292fd229c068df6", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and the technology industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:50:44.660", "fingerprint" : "defe7642e7f4a014b6c3d44749de47c63804e69df78e9bb2cd72762ed6add489", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Sr. Software Engineer, Systems Infrastructure at LinkedIn", "postedDate" : "2026-06-15T21:48:36.000", "createdAt" : "2026-06-16T01:42:19.122", "lastUpdated" : "2026-06-16T11:50:44.660", "ingestTimestamp" : "2026-06-16T01:42:19.122", "mongoId" : "6a30811cf292fd229c068df6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307812f292fd229c029621", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:56:44.621", "fingerprint" : "bfb7d45ff87881a08df85fd5d7c08c44452e91202926a059c2fa447e3b543b28", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Sr. Software Engineer, Systems Infrastructure at LinkedIn", "postedDate" : "2026-06-15T21:48:36.000", "createdAt" : "2026-06-16T01:34:22.911", "lastUpdated" : "2026-06-16T11:56:44.621", "ingestTimestamp" : "2026-06-16T01:34:22.911", "mongoId" : "6a307812f292fd229c029621", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306369f292fd229cf9da8a", "title" : "Lead Software Engineer - Systems", "company" : "Freshworks", "industry" : "Information Technology And Services", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Software Engineer in Chennai, India, adjusted for seniority, industry, and company size." }, "location" : "Chennai, IN", "locations" : [ "Chennai", "IN" ], "timestamp" : "2026-06-16T10:56:54.155", "fingerprint" : "15b7afbdd43818472fbc0188eaacaf0a1323924728e3c8635585e6a6d84e1a1b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Freshworks/744000132158909-lead-software-engineer-systems", "externalId" : "744000132158909", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "RDBMS, NoSQL, Caching, Distributed queues, Microservices, AI tools, AI technologies, AWS, GCP", "professionalSkills" : [ "System design", "Code optimization", "System scalability", "Requirement gathering", "Design patterns", "Problem solving", "Logical analysis", "Object-Oriented Design", "High-Level Design", "Low-Level Design", "API design", "Database design", "Data modeling", "Technical communication", "Code review", "Tech stack articulation" ], "hardSkillsList" : [ "Data Structures", "Algorithms", "Object-Oriented Programming", "REST APIs", "SOLID principles", "CI/CD", "DevOps tooling", "Cloud platforms" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Object-Oriented Programming", "level" : "intermediate" }, { "name" : "REST APIs", "level" : "intermediate" }, { "name" : "SOLID principles", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "DevOps tooling", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Backend systems, Infrastructure, System design, API design", "majorSkillsList" : [ "Backend systems", "Infrastructure", "System design", "API design" ], "coreResponsibilities" : "Design systems, Design APIs, Architect services, Support multi-tenant applications, Support cloud-native applications, Lead code optimisation, Lead refactoring, Lead scaling existing systems, Own full lifecycle, Gather requirements, Design systems, Implement systems, Support systems, Drive best practices for OOPS, Drive best practices for design patterns, Drive best practices for system scalability, Ensure high availability, Ensure security, Ensure monitoring of production systems, Partner with SREs, Partner with PMs, Partner with other tech leads, Deliver platform-wide capabilities, Mentor systems engineers, Lead technical conversations", "teamCollaboration" : "SREs; PMs; Tech leads; Multiple teams", "domainKnowledge" : "Multi-tenant applications; Cloud-native applications; OOPS principles; Design patterns; System scalability; High availability; Production systems; Data Structures; Algorithms; REST APIs; Object-Oriented Design; SOLID principles; System Design; High-Level Design; Low-Level Design; RDBMS; Caching strategies; Distributed queues; Microservices", "domainList" : [ "multi-tenant-applications", "cloud-native-applications", "oops-principles", "design-patterns", "system-scalability", "high-availability", "production-systems", "data-structures", "algorithms", "rest-apis", "object-oriented-design", "solid-principles", "system-design", "high-level-design", "low-level-design", "rdbms", "caching-strategies", "distributed-queues", "microservices" ], "domainSpecificKnowledge" : [ "Multi-tenant applications", "Cloud-native applications", "OOPS principles", "Design patterns", "System scalability", "High availability", "Production systems", "Data Structures", "Algorithms", "REST APIs", "Object-Oriented Design", "SOLID principles", "System Design", "High-Level Design", "Low-Level Design", "RDBMS", "Caching strategies", "Distributed queues", "Microservices" ], "toolProficiency" : [ "DevOps tooling", "AWS", "GCP" ], "communicationSkills" : "Technical communication; Convey technical concepts; Convey solutions clearly", "problemSolvingSkills" : "Problem Solving; Logical Analysis; Complex problem-solving; Analytical reasoning", "qualificationsBasic" : "6 to 9 years of experience, Expertise in Data Structures & Algorithms, Deep knowledge of REST APIs, Ability to articulate thought processes, Command of OOP principles, Apply SOLID principles, Design scalable systems, Design highly available systems, Design fault-tolerant systems, Exposure to RDBMS, Exposure to caching strategies, Exposure to distributed queues, Exposure to microservices, Gather requirements, Design APIs, Design database schemas, Design data models, Optimize code for performance, Optimize system designs for efficiency, Perform effective code reviews, Articulate suitable tech stacks, Hands-on CI/CD experience, Hands-on DevOps tooling experience, Hands-on cloud platforms experience, Degree in Computer Science, Degree in Engineering, Built systems from scratch, Taken systems through iterations, Experience with RDBMS, Experience with NoSQL, Experience with queuing systems, Excellent technical communication, Analytical reasoning for complex problem-solving", "qualificationsPreferred" : "Experience with AI tools, Experience with AI technologies, Familiarity with observability, Familiarity with rate limiting, Familiarity with multi-region deployments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Responsibilities • Design and develop systems and APIs with reliability and modularity in mind. • Architect services to support multi-tenant, cloud-native applications. • Lead efforts on code optimisation, refactoring, and scaling existing systems. • Own full lifecycle—from requirement gathering to design, implementation, and support. • Drive best practices for OOPS, design patterns, and system scalability. • Ensure high availability (99.99%+), security, and monitoring of production systems. • Partner with SREs, PMs, and other tech leads to deliver platform-wide capabilities. • Mentor 2–4 systems engineers and lead technical conversations across multiple teams. Requirements • 6 to 9 years of experience in building backend systems and infrastructure. • Data Structures & Algorithms (DSA): Expertise in selecting optimal data structures and developing efficient, optimized code including time/space complexity trade-offs. Deep knowledge of REST APIs. • Problem Solving & Logical Analysis: Ability to clearly articulate thought processes, decompose complex problems, and engineer effective solutions. • Object-Oriented Design (OOD): Strong command of OOP principles, designing extensible code, and applying SOLID principles. • System Design (High-Level Design - HLD & LLD): Proven ability to design scalable, highly available, and fault-tolerant end-to-end systems, including APIs, schema, and data models. • Exposure to RDBMS, caching strategies, distributed queues, and microservices. • Exposure and experience with AI tools and technologies to improve efficiency • Leadership & Collaboration: Demonstrates strong ownership, collaborates effectively, and shows potential for mentoring. • System Design (HLD): Ability to gather requirements (functional/non-functional) and design scalable, highly available, fault-tolerant, end-to-end systems. • API & Database Design: Skilled in designing APIs, database schemas, and data models. • Technical Communication: Excellent at conveying technical concepts and solutions clearly. • Problem-Solving & Analysis: Strong analytical and logical reasoning for complex problem-solving. • Code & Design Optimization: Capable of optimizing code and system designs for performance and efficiency. • Code Review: Experienced in performing effective code reviews. • Tech Stack: Knowledgeable about relevant technologies and adept at articulating suitable tech stacks for designs. • Hands-on experience with CI/CD, DevOps tooling, and cloud platforms (AWS/GCP). ## Qualifications • Degree in Computer Science, Engineering, or a related field. • You’ve built systems from scratch and taken them through multiple iterations. • Experience with RDBMS, NoSQL, and queuing systems. • Familiarity with observability, rate limiting, multi-region deployments. • You thrive in ambiguity and move fast without sacrificing technical depth. Skills Inventory: • Strong grasp of Data Structures, Algorithms, and Object-Oriented Programming (OOP) • Proven experience in designing scalable, fault-tolerant backend systems • Expertise in API design, database modeling, and system architecture • Ability to optimize code and ensure high performance and availability • Hands-on experience with CI/CD, DevOps tools, and cloud platforms (AWS/GCP) • Excellent technical communication and collaboration across teams ## Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "Lead Software Engineer - Systems at Freshworks. Skills: Backend systems, Infrastructure, System design, API design. Design systems. Design APIs", "postedDate" : "2026-06-15T09:49:35.000", "createdAt" : "2026-06-16T00:12:11.897", "lastUpdated" : "2026-06-16T10:56:54.155", "ingestTimestamp" : "2026-06-16T00:12:11.897", "mongoId" : "6a306369f292fd229cf9da8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data Structures", "Algorithms", "Object-Oriented Programming", "REST APIs", "SOLID principles", "CI/CD", "DevOps tooling", "Cloud platforms", "Leadership", "Mentoring", "Backend systems", "Infrastructure", "System design", "API design", "Code optimization", "System scalability", "Requirement gathering", "Design patterns", "Problem solving", "Logical analysis", "Object-Oriented Design", "High-Level Design", "Low-Level Design", "Database design", "Data modeling", "Technical communication", "Code review", "Tech stack articulation", "Multi-tenant applications", "Cloud-native applications", "OOPS principles", "High availability", "Production systems", "System Design", "RDBMS", "Caching strategies", "Distributed queues", "Microservices", "AWS", "GCP" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d07f292fd229cf647cd", "title" : "Lead Software Engineer - Systems", "company" : "Freshworks", "industry" : "Information Technology And Services", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Software Engineer in Chennai, India, adjusted for seniority, company size, and industry." }, "location" : "Chennai, IN", "locations" : [ "Chennai", "IN" ], "timestamp" : "2026-06-16T10:08:58.233", "fingerprint" : "22abf11d3e2428cbf6f48861ed5a627596d57733a1c5730b543cedb5cfea632b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Freshworks/744000132158909-lead-software-engineer-systems", "externalId" : "744000132158909", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "RDBMS, Caching, Distributed queues, Microservices, AI tools, AI technologies, NoSQL, Queuing systems, AWS, GCP", "professionalSkills" : [ "System design", "Code optimization", "System scalability", "Requirement gathering", "Design patterns", "High availability", "Security", "Monitoring", "API design", "Database design", "Data models", "Code review", "Tech stacks" ], "hardSkillsList" : [ "Data Structures", "Algorithms", "Object-Oriented Design", "REST APIs", "SOLID principles", "HLD", "LLD", "CI/CD", "DevOps tooling", "Cloud platforms" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Object-Oriented Design", "level" : "intermediate" }, { "name" : "REST APIs", "level" : "intermediate" }, { "name" : "SOLID principles", "level" : "intermediate" }, { "name" : "HLD", "level" : "intermediate" }, { "name" : "LLD", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "DevOps tooling", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Backend systems, Infrastructure, System design, API design", "majorSkillsList" : [ "Backend systems", "Infrastructure", "System design", "API design" ], "coreResponsibilities" : "Design systems, Design APIs, Architect services, Support cloud-native applications, Lead code optimisation, Lead refactoring, Lead scaling existing systems, Own full lifecycle, Gather requirements, Design systems, Implement systems, Support systems, Drive best practices, Ensure high availability, Ensure security, Ensure monitoring, Partner with SREs, Partner with PMs, Partner with tech leads, Deliver platform-wide capabilities, Mentor systems engineers, Lead technical conversations", "teamCollaboration" : "SREs; PMs; Tech leads; Multiple teams", "domainKnowledge" : "Multi-tenant applications; Cloud-native applications; OOPS; Design patterns; System scalability; High availability; Observability; Rate limiting; Multi-region deployments", "domainList" : [ "multi-tenant-applications", "cloud-native-applications", "oops", "design-patterns", "system-scalability", "high-availability", "observability", "rate-limiting", "multi-region-deployments" ], "domainSpecificKnowledge" : [ "Multi-tenant applications", "Cloud-native applications", "OOPS", "Design patterns", "System scalability", "High availability", "Observability", "Rate limiting", "Multi-region deployments" ], "toolProficiency" : [ "DevOps tooling", "AWS", "GCP" ], "communicationSkills" : "Technical communication; Convey technical concepts; Convey solutions", "problemSolvingSkills" : "Problem Solving; Logical Analysis; Decompose complex problems; Engineer effective solutions; Analytical reasoning; Complex problem-solving", "qualificationsBasic" : "6 to 9 years of experience, Expertise in Data Structures & Algorithms, Deep knowledge of REST APIs, Ability to articulate thought processes, Command of OOP principles, Apply SOLID principles, Design scalable systems, Design highly available systems, Design fault-tolerant systems, Exposure to RDBMS, Exposure to caching strategies, Exposure to distributed queues, Exposure to microservices, Gather requirements, Design APIs, Design database schemas, Design data models, Analytical and logical reasoning, Optimize code for performance, Optimize system designs for efficiency, Perform effective code reviews, Articulate suitable tech stacks, Hands-on CI/CD experience, Hands-on DevOps tooling experience, Hands-on cloud platforms experience, Degree in Computer Science, Degree in Engineering, Built systems from scratch, Taken systems through iterations, Experience with RDBMS, Experience with NoSQL, Experience with queuing systems, Grasp of Data Structures, Grasp of Algorithms, Grasp of Object-Oriented Programming, Proven experience designing backend systems, Proven experience designing fault-tolerant backend systems, Expertise in API design, Expertise in database modeling, Expertise in system architecture, Ability to optimize code, Ensure high performance, Ensure high availability, Hands-on CI/CD experience, Hands-on DevOps tools experience, Hands-on cloud platforms experience, Excellent technical communication, Collaboration across teams", "qualificationsPreferred" : "Familiarity with observability, Familiarity with rate limiting, Familiarity with multi-region deployments, Experience with AI tools, Experience with AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Responsibilities • Design and develop systems and APIs with reliability and modularity in mind. • Architect services to support multi-tenant, cloud-native applications. • Lead efforts on code optimisation, refactoring, and scaling existing systems. • Own full lifecycle—from requirement gathering to design, implementation, and support. • Drive best practices for OOPS, design patterns, and system scalability. • Ensure high availability (99.99%+), security, and monitoring of production systems. • Partner with SREs, PMs, and other tech leads to deliver platform-wide capabilities. • Mentor 2–4 systems engineers and lead technical conversations across multiple teams. Requirements • 6 to 9 years of experience in building backend systems and infrastructure. • Data Structures & Algorithms (DSA): Expertise in selecting optimal data structures and developing efficient, optimized code including time/space complexity trade-offs. Deep knowledge of REST APIs. • Problem Solving & Logical Analysis: Ability to clearly articulate thought processes, decompose complex problems, and engineer effective solutions. • Object-Oriented Design (OOD): Strong command of OOP principles, designing extensible code, and applying SOLID principles. • System Design (High-Level Design - HLD & LLD): Proven ability to design scalable, highly available, and fault-tolerant end-to-end systems, including APIs, schema, and data models. • Exposure to RDBMS, caching strategies, distributed queues, and microservices. • Exposure and experience with AI tools and technologies to improve efficiency • Leadership & Collaboration: Demonstrates strong ownership, collaborates effectively, and shows potential for mentoring. • System Design (HLD): Ability to gather requirements (functional/non-functional) and design scalable, highly available, fault-tolerant, end-to-end systems. • API & Database Design: Skilled in designing APIs, database schemas, and data models. • Technical Communication: Excellent at conveying technical concepts and solutions clearly. • Problem-Solving & Analysis: Strong analytical and logical reasoning for complex problem-solving. • Code & Design Optimization: Capable of optimizing code and system designs for performance and efficiency. • Code Review: Experienced in performing effective code reviews. • Tech Stack: Knowledgeable about relevant technologies and adept at articulating suitable tech stacks for designs. • Hands-on experience with CI/CD, DevOps tooling, and cloud platforms (AWS/GCP). ## Qualifications • Degree in Computer Science, Engineering, or a related field. • You’ve built systems from scratch and taken them through multiple iterations. • Experience with RDBMS, NoSQL, and queuing systems. • Familiarity with observability, rate limiting, multi-region deployments. • You thrive in ambiguity and move fast without sacrificing technical depth. Skills Inventory: • Strong grasp of Data Structures, Algorithms, and Object-Oriented Programming (OOP) • Proven experience in designing scalable, fault-tolerant backend systems • Expertise in API design, database modeling, and system architecture • Ability to optimize code and ensure high performance and availability • Hands-on experience with CI/CD, DevOps tools, and cloud platforms (AWS/GCP) • Excellent technical communication and collaboration across teams ## Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "Lead Software Engineer - Systems at Freshworks. Skills: Backend systems, Infrastructure, System design, API design. Design systems. 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0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e5774d8ee00a0af708c", "title" : "Software Engineering Manager, GPU AI Infrastructure", "industry" : "Technology", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Engineering Manager in Taipei, Taiwan, adjusted for the technology industry and manager seniority." }, "location" : "[Taipei, Taiwan, [110, Taiwan, Taipei City, Xinyi District, Ankang Village, Section 5, Xinyi Rd, 109號2樓], Ankang Village, 110, Taipei City, TW]", "locations" : [ "[Taipei, Taiwan, [110, Taiwan, Taipei City, Xinyi District, Ankang Village, Section 5, Xinyi Rd, 109號2樓], Ankang Village, 110, Taipei City, TW]" ], "timestamp" : "2026-06-16T10:43:44.092", "fingerprint" : "450f8d446368f610b0082c4a9a7707805a0f8353937ed6a09b306a9f813c7e8b", "source" : 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"Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f3274d8ee00a0954c46", "title" : "Systems Engineering Architect - AWS/IT Infrastructure", "company" : "North Point Technology", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Systems Engineering Architect in Alexandria, United States, adjusted for the technology industry and company size." }, "location" : "Alexandria, Virginia, United States", "locations" : [ "Alexandria", "Virginia", "United States", "Chantilly", "Virginia", "United States", "Gaithersburg", "Maryland", "United States", "Saint Louis", "Missouri", "United States" ], "certifications" : [ "DoD 8570-compliant certification", "Microsoft certification", "AWS certification" ], "timestamp" : "2026-06-15T09:28:25.741", "fingerprint" : "eac2129252268889e913a621ef1491cab067b13bf2b04fa3092e2d506c7624e3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/northpointtechnology/jobs/8588633002", "externalId" : "8588633002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Windows, Linux, DevOps, Cloud, Infrastructure automation, Failover orchestration, COTS, GOTS, EKS", "professionalSkills" : [ "Systems engineering", "Architecture", "Infrastructure management", "Requirements analysis", "Analysis of alternatives", "Prototyping", "Roadmap development", "Stakeholder management" ], "hardSkillsList" : [ "Disaster recovery", "Data retention" ], "hardSkills" : [ { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "Data retention", "level" : "intermediate" } ], "majorSkills" : "AWS Architecture, Resiliency, Recovery, Infrastructure Automation", "majorSkillsList" : [ "AWS Architecture", "Resiliency", "Recovery", "Infrastructure Automation" ], "coreResponsibilities" : "Design AWS Resiliency, Design Recovery capabilities, Implement cross-AZ recovery, Implement infrastructure automation, Implement automated failover orchestration, Stand up cloud environments, Maintain cloud environments, Deploy custom code, Deploy COTS, Deploy GOTS, Analyze system architecture, Analyze dependencies, Identify availability improvements, Identify resiliency improvements, Own system architecture roadmap, Own system architecture backlog, Decompose requirements, Execute analysis of alternatives, Execute prototypes, Maintain requirements, Maintain interface control documents, Communicate architectural decisions, Communicate design artifacts, Communicate strategies", "teamCollaboration" : "Technical leadership; Program management leadership; External stakeholders; Development teams; Executive management", "projectManagementSkills" : [ "Agile", "Backlog development", "Technical roadmap" ], "domainKnowledge" : "Geospatial focus; Cloud-native architecture; ITDR", "domainList" : [ "geospatial-focus", "cloud-native-architecture", "itdr" ], "domainSpecificKnowledge" : [ "Geospatial focus", "Cloud-native architecture", "ITDR" ], "communicationSkills" : "Briefing stakeholders", "documentationSkills" : "Architecture diagrams; Interface control documents", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Top Secret clearance, SCI eligibility, CI Polygraph eligibility", "qualificationsBasic" : "Active Top Secret clearance, Experience optimizing AWS costs, Hands-on Windows and Linux, Direct AWS core experience, Experience with DevOps COTS, System design and architecture, Solid agile understanding, Experience developing backlog, Experience with disaster recovery, Experience serving as systems engineer, Excellent communication skills, Experience briefing stakeholders", "qualificationsPreferred" : "TS/SCI with Polygraph, DoD 8570-compliant certification, Technical certifications, Experience with WMS, WFS, KML, AWS architecture best practices, Experience with AWS EKS, Writing architecture diagrams, Optimizing software deployments, Direct DevOps deployments to cloud", "workSiteFlexibility" : "Onsite", "rawDescription" : "North Point Technology is looking to hire a Systems Engineering Architect to support AWS Resiliency and Recovery. The qualified candidate must currently hold an active Top Secret security clearance (with the ability to obtain SCI and CI Polygraph), and will work hand-in-hand with technical and program management leadership, along with various external stakeholders, to design and implement AWS Resiliency and Recovery capabilities including cross-AZ recovery procedures, infrastructure automation, and automated failover orchestration. The ideal candidate brings experience across multiple Systems Engineering and architecture domains, with a focus on standing up and maintaining cloud environments and deploying custom code, COTS, and GOTS to those environments with a Geospatial focus. ***This job requires active TS clearance. Please apply only if you have an active TS clearance. *** Responsibilities: This position involves systems engineering activities that support building and delivering innovative cloud-based systems. The architect will analyze current system architecture and dependencies from a full-stack perspective, identify opportunities to improve availability and resiliency, and own the system architecture roadmap and backlog in alignment with the customer's technology strategy. Responsibilities include decomposing requirements into epics and features, executing analysis of alternatives (AoA) and prototypes, maintaining requirements and interface control documents, and communicating architectural decisions, design artifacts, and strategies to both development teams and executive management. Required Skills/Experience: Experience optimizing and managing AWS/cloud infrastructure costs, including storage, compute, and database Hands-on experience with both Windows and Linux Direct experience with AWS core architecture and services Experience with DevOps COTS capabilities and their implementation to the cloud Experience with system (hardware, software, and networking) design and architecture Solid understanding of agile software development methodologies Experience developing a backlog and technical roadmap Experience with disaster recovery (ITDR) and data retention Experience serving as a systems engineer or architect Excellent communication skills Experience briefing stakeholders at all levels Preferred Skills/Experience: Experience with technologies such as WMS, WFS, and KML Experience with AWS architecture best practices, resiliency capabilities, and services Experience with AWS EKS Experience writing, maintaining, and describing architecture diagrams Experience optimizing software deployments and reducing downtime, for example implementing a blue/green strategy Direct experience with DevOps deployments to cloud environments using GitLab Qualifications: Active Top Secret security clearance, with the ability to obtain SCI and CI Polygraph TS/SCI with Polygraph (preferred) DoD 8570-compliant certification (preferred) Technical certifications such as Microsoft and/or AWS (preferred) North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country’s most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer’s most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.", "summaryDescription" : "Systems Engineering Architect - AWS/IT Infrastructure at North Point Technology. Skills: AWS Architecture, Resiliency, Recovery, Infrastructure Automation. Design AWS Resiliency. 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Engineering and research teams", "domainKnowledge" : "Predictive intelligence; AI; Human behavior simulation; Agent-based modeling; Distributed systems; Cloud infrastructure; Machine learning workloads", "domainList" : [ "predictive-intelligence", "ai", "human-behavior-simulation", "agent-based-modeling", "distributed-systems", "cloud-infrastructure", "machine-learning-workloads" ], "domainSpecificKnowledge" : [ "Predictive intelligence", "AI", "Human behavior simulation", "Agent-based modeling", "Distributed systems", "Cloud infrastructure", "Machine learning workloads" ], "innovationCreativity" : "Build systems that enable simulations to run faster, more reliably, and at greater scale; Remove bottlenecks from Aaru's core engineering and research workflows; Build tools and abstractions that help engineering and research teams move faster; Productionize experimental research workflows into reliable, repeatable infrastructure", "problemSolvingSkills" : "Identify system bottlenecks; Debug performance and reliability issues", "qualificationsBasic" : "Built infrastructure, frameworks, or internal platforms, Deep experience debugging performance and reliability issues, Comfortable working close to networking, storage, compute, and cloud primitives, Helped transition research or experimental systems into production, Care about developer experience, Comfortable with strongly typed languages or languages with algebraic type systems", "qualificationsPreferred" : "Experience with long-running computational pipelines, Knowledge of networking protocols such as HTTP, TLS, TCP, or related systems, Experience designing infrastructure for high-scale data or machine learning workloads, Track record of finding and eliminating bottlenecks in complex systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT AARU Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time. We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust, and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As an infrastructure engineer at Aaru, you will build the systems that enable our simulations to run faster, more reliably, and at greater scale. You will work across compute, networking, data pipelines, and developer tooling to remove bottlenecks from Aaru's core engineering and research workflows. RESPONSIBILITIES - Design and build low-latency, high-throughput infrastructure for large-scale simulations - Improve the reliability and performance of data ingestion and computation pipelines - Identify system bottlenecks across compute, networking, storage, and orchestration - Build tools and abstractions that help engineering and research teams move faster - Productionize experimental research workflows into reliable, repeatable infrastructure - Own infrastructure decisions from architecture through implementation and operation YOU MAY BE A FIT IF - You have built infrastructure, frameworks, or internal platforms for fast-growing engineering teams - You have deep experience debugging performance and reliability issues in distributed systems - You are comfortable working close to networking, storage, compute, and cloud primitives - You have helped transition research or experimental systems into production - You care about developer experience and build systems that other engineers want to use - You are comfortable with strongly typed languages or languages with algebraic type systems STRONG CANDIDATES MAY ALSO HAVE - Experience with long-running computational pipelines - Strong knowledge of networking protocols such as HTTP, TLS, TCP, or related systems - Experience designing infrastructure for high-scale data or machine learning workloads - A track record of finding and eliminating bottlenecks in complex systems LOCATION This role is based in New York City. Aaru is an in-person company, and the team works in-office five days a week. Candidates are expected to be located within the New York City metropolitan area or open to relocation. BENEFITS At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.", "summaryDescription" : "Software Engineer, Infrastructure at Aaru. Skills: Infrastructure engineering, Distributed systems, Cloud computing. Design and build low-latency, high-throughput infrastructure. 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adjusted for SaaS industry and company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T12:33:07.745", "fingerprint" : "bf44336977e4225f4b02ebff6a90b1d48fca44cd0f3532310e3ceb2dfa1266f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7768263003", "externalId" : "7768263003", "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", "experienceLevel" : "Director", "technicalSkills" : "Compute runtimes, Storage options, Service networking, AI", "professionalSkills" : [ "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems" ], "hardSkillsList" : [ "SLOs", "SLIs", "SRE principles" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "SRE principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Infrastructure, Platform engineering, SRE, Cloud", "majorSkillsList" : [ "Infrastructure", "Platform engineering", "SRE", "Cloud" ], "coreResponsibilities" : "Define platform primitives, Create golden paths, Create decision trees, Drive initiatives reliability, Coordinate with product teams, Eliminate infrastructure bottlenecks, Establish cost frameworks, Mentor high-performing teams, Develop high-performing teams, Set clear goals, Collaborate with partners, Manage platform investments, Clarify ownership, Implement infrastructure changes, Track performance metrics, Report performance metrics, Optimize AI use, Enhance infrastructure management, Enhance development processes, Pioneer innovative workflows, Champion operational readiness, Establish SLAs, Establish SLIs, Facilitate learning culture, Facilitate experimentation culture, Deploy AI enhancements, Streamline engineering workflows, Lead incident management, Lead postmortems", "teamCollaboration" : "Industry leaders; Cross-functional partners; Product teams; Engineering teams; Security teams; Finance teams", "domainKnowledge" : "Enterprise-grade web properties; LiveSite platform", "domainList" : [ "enterprise-grade-web-properties", "livesite-platform" ], "domainSpecificKnowledge" : [ "Enterprise-grade web properties", "LiveSite platform" ], "innovationCreativity" : "Pioneering innovative workflows; Continuous learning; Experimentation with AI tools", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve reliability metrics; Achieve performance metrics; Reduce friction; Enhance developer velocity; Improve time-to-market; Increase developer satisfaction; Maximize value delivery; Align goals with business priorities; Drive strategic outcomes; Enable data-driven decision-making; Ensure performance thresholds", "qualificationsBasic" : "10+ years experience infrastructure, 5+ years managing managers, 5+ years managing senior ICs, Experience with LiveSite, Understand infrastructure requirements, Understand integration patterns, Understand operational demands", "qualificationsPreferred" : "Deep understanding of SRE principles, Proven expertise designing SLOs, Proven expertise designing SLIs, Proven expertise managing incidents, Proven expertise capacity planning, Proven expertise operational continuity", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo’s mission is to empower businesses to independently drive their growth, and the Engineering Department's contribution to this mission is crucial. As Director of Production Infrastructure, you'll helm the creation and management of a high-performance platform designed to support the rapid innovation demanded by our R&D teams. This role is all about defining the pillars of our infrastructure, compute, storage, networking, observability, and setting a robust set of principles that guide their use. In this position, you'll be entrusted with the responsibility of developing and maintaining platform primitives that empower our engineering teams to bring ideas to life seamlessly. Collaborating with industry leaders across engineering, security, and finance, your decisions will shape the infrastructure blueprint that underpins our scalable, secure, and cost-effective operations. As a leader, your mission is to foster a culture of ownership, innovation, and productivity while steering teams toward achieving critical reliability and performance metrics. Your role will span across defining clear service contracts, instituting capacity plans, and honing our developer enablement strategy to reduce friction and enhance developer velocity. How You’ll Make a Difference Lead the definition of platform primitives such as compute runtimes, storage options, and service networking, ensuring they are scalable, secure, and aligned with Klaviyo's standards for operational excellence. Create and disseminate golden paths and decision trees that simplify the technological choices for R&D teams, enhancing consistency and self-sufficiency across engineering efforts. Drive initiatives that enhance the reliability of production systems, focusing on incident prevention, transparent response protocols, and proactive capacity planning. Coordinate with product teams to identify and eliminate infrastructure bottlenecks, aiding in improving the time-to-market for new services and increasing developer satisfaction. Establish frameworks for cost-effective infrastructure management, balancing financial discipline with flexibility and efficiency to maximize value delivery. Mentor and develop high-performing teams, fostering a culture of inclusivity and ownership, while setting clear, impactful goals that align with business priorities. Collaborate with cross-functional partners to manage platform investments, clarify ownership, and safely implement infrastructure changes that drive strategic outcomes. Track and report critical performance metrics, such as system reliability, developer productivity, and infrastructure costs, enabling data-driven decision-making and accountability. Optimize the use of AI to enhance infrastructure management and development processes, pioneering innovative workflows that keep Klaviyo at the forefront of technological advancement. Champion operational readiness by establishing robust SLAs and SLIs, ensuring all infrastructure components meet defined performance thresholds conforming to Klaviyo's quality standards. Facilitate a culture of continuous learning and experimentation with AI tools, deploying enhancements that intelligently streamline engineering workflows. Lead a disciplined approach to incident management and postmortems, establishing a blameless culture of learning and innovation to minimize future disruptions. Who You Are You have over 10 years of experience in infrastructure, SRE, platform engineering, or security engineering, with at least 5 years managing managers and senior ICs, demonstrating strong leadership and team-building skills. Your leadership style fosters inclusivity and empowerment, setting high standards that inspire your teams to achieve ambitious goals aligned with Klaviyo's mission. You possess a deep understanding of SRE principles, with proven expertise in designing effective SLOs and SLIs, managing incidents, and ensuring capacity planning and operational continuity. You have experience with LiveSite (the enterprise web platform) and understand the infrastructure requirements, integration patterns, and operational demands that come with supporting enterprise-grade web properties at scale. You own the live site, you bring urgency, clear judgment, and a structured approach to production incidents, and you build teams that treat uptime and reliability as first-order concerns, not afterthoughts. You have a proven track record of standing up or strengthening LiveSite culture inside engineering orgs. You excel at simplifying complexity and creating logical clarity, using your strong communication skills to drive organizational changes across product, data, and security domains. Your decision-making is driven by outcomes, and you're comfortable prioritizing initiatives that deliver the most significant business impact, even if it means narrowing the scope. Your hands-on experience with AI makes you AI-curious, and you're eager to leverage it to drive smarter, more efficient infrastructure operations. Your technical expertise is both broad and deep, you command public cloud services, container orchestration, service meshing, data storage, and observability at a systems level, and you remain hands-on when it counts, able to roll up your sleeves and debug a complex distributed-systems problem alongside your team. You build and nurture a culture of ownership and continuous improvement, encouraging your teams to innovate and excel while maintaining a strong focus on customer value. You possess a keen ability to balance strategic thinking with tactical execution, ensuring infrastructure solutions not only meet current needs but are future-proof and scalable. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. Committed to fostering a learning environment, you continually seek ways to improve team skills, processes, and technologies to align with Klaviyo's growth and innovation objectives. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. Nice to Have Previous experience in transforming internal platforms into productized services, complete with SLAs and developer experience-focused roadmaps. Background in architecting data-centric and event-driven systems at a large scale, particularly within a high-growth environment. Established partnerships with centralized data platforms, defining clean ownership boundaries and integrating efficiently with existing workflows. Proven track record of optimizing both cost-to-serve and reliability metrics in a scaling SaaS company, driving significant impact on the bottom line. Familiarity with the challenges and opportunities characteristic of a high-growth SaaS milieu, with a focus on leveraging those to drive platform innovation and efficiency. Why This Role Matters The Director of Production Infrastructure at Klaviyo is a mission-critical role that directly influences the core foundations of our technology stack. Ensuring that our infrastructure is robust, scalable, and future-proof enables our engineering teams to accelerate product development effectively and safely, cementing Klaviyo’s position as an industry leader in empowering business growth. Your leadership will impact our ability to innovate rapidly and maintain the high standards of reliability our customers expect. By driving infrastructure improvements that reduce developer friction, enhance system reliability, and lower operational costs, you ensure Klaviyo can offer exceptional value to our clients while scaling our operations sustainably. For a top candidate, this role represents a unique opportunity to lead a team in redefining infrastructure excellence against the backdrop of a dynamic business landscape. You’ll play a pivotal role in shaping the technological trajectory of Klaviyo, working alongside passionate professionals committed to creating powerful solutions that enable our customers to achieve significant growth. 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. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $244,000—$366,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Director of Engineering, Infrastructure at Klaviyo. Skills: Infrastructure, Platform engineering, SRE, Cloud. Define platform primitives. Create golden paths", "postedDate" : "2026-06-16T01:15:39.691", "createdAt" : "2026-06-16T01:15:39.691", "lastUpdated" : "2026-06-16T12:33:07.745", "ingestTimestamp" : "2026-06-16T01:15:39.691", "mongoId" : "6a306f0df292fd229cfe45de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "SLOs", "SLIs", "SRE principles", "Leadership", "Mentoring", "Infrastructure", "Platform engineering", "SRE", "Cloud", "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems", "Enterprise-grade web properties", "LiveSite platform" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306969f292fd229cfc816a", "title" : "Lead Infrastructure Engineer", "company" : "Fortune Brands", "industry" : "Consumer Goods", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Lead Infrastructure Engineer in Bulgaria, adjusted for seniority and full-time employment." }, "location" : "Deerfield, ILLINOIS, United States", "locations" : [ "Deerfield", "ILLINOIS", "United States" ], "timestamp" : "2026-06-16T10:40:05.495", "fingerprint" : "58c3064e4679348a6058e525909bf5911ef27572dc4888bd394567986d5eb870", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132239560-lead-infrastructure-engineer", "externalId" : "744000132239560", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). PREFERED LOCATION - CLEVELAND OR PITTSBURGH. Job is remote - will need to visit data centers on occasion. The Lead Infrastructure Engineer plays a critical role in designing, implementing, and managing the backbone of FBIN’s IT infrastructure. As part of the FBIN IT Infrastructure team, this individual is responsible for ensuring the seamless integration of hardware, software, networks, and cloud services to support business operations effectively. As a lead engineer, they will lead teams, strategize technology solutions, and ensure systems' reliability, scalability, and security. Infrastructure Design & Strategy * Develop scalable infrastructure solutions that meet current and future business requirements by working closely with the Infrastructure and Architecture teams. * Define and promote strategies to efficiently integrate highly available and fault-tolerant infrastructure solutions across cloud (Azure) and on-premises environments, including active/active data center architectures. * Evaluate emerging technologies—including AI/ML infrastructure support, containerization, and edge computing—to identify opportunities for improvement and innovation. System Implementation & Maintenance * Storage & Backup: Design, manage, and support complex enterprise storage solutions (NetApp/EMC) and backup platforms (Commvault) deployed across on-prem and cloud environments. Lead storage migrations, capacity planning, and lifecycle management. * Compute & Virtualization: Administer the deployment, configuration, and maintenance of virtual server environments (VMware vSphere, Hyper-V) and cloud compute resources (Azure VMs, AVD). * Networking: Support enterprise network infrastructure including Cisco Route/Switch, Arista, Fortinet firewalls, Aryaka SD-WAN, and Juniper Mist Wireless. * Ensure optimal system performance, including uptime, speed, and resource utilization through proactive monitoring and tuning. * Automate routine infrastructure processes through scripting and Infrastructure-as-Code (IaC) tools such as Ansible, Terraform, or PowerShell. Team Leadership * Lead and mentor a team of infrastructure engineers, fostering professional growth, collaboration, and a culture of continuous improvement aligned with the FBIN Blueprint. * Coordinate with cross-functional teams, including software development, cybersecurity, enterprise architecture, and IT operations. * Develop training programs and knowledge-sharing practices to keep team members current with evolving technologies and industry best practices. Security and Compliance * Implement robust security measures, including firewalls, intrusion detection systems, network segmentation, and encryption technologies. * Ensure compliance with industry standards and regulations such as SOX, GDPR, HIPAA, or PCI-DSS. * Monitor systems for vulnerabilities and respond proactively to security incidents. Partner with the Cybersecurity team on risk assessments and audit readiness. Monitoring and Optimization * Utilize infrastructure monitoring and observability tools to identify potential issues before they impact users and ensure service-level commitments are met. * Optimize infrastructure for cost efficiency (FinOps), balancing performance with budget constraints across on-prem and cloud spend. * Contribute to capacity planning, right-sizing, and cloud cost governance. SKILLS AND COMPETENCIES * Strategic Thinking: Ability to think ahead and align infrastructure goals with the organization's vision and business growth. * Technical Expertise: Deep understanding of enterprise compute, storage, networking, cloud platforms, and emerging technologies. * Leadership: Proven capability to manage, mentor, and inspire teams to achieve operational excellence. * Problem-Solving: Strong analytical skills to identify root causes and resolve complex infrastructure issues swiftly. * Communication: Effective communication skills to collaborate with both technical and non-technical stakeholders, including executive leadership. * Ownership & Accountability: Demonstrates integrity, takes ownership, and drives results aligned with FBIN values. ## Qualifications * Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. * Minimum 5–8 years of experience in infrastructure engineering, with at least 2 years in a leadership or senior technical role. * Storage & Backup (required): Excellent knowledge of enterprise data storage platforms (NetApp, EMC) and backup applications (Commvault), including replication, tiering, and disaster recovery. * Compute & Virtualization: Hands-on experience with VMware vSphere, Hyper-V, and cloud compute services (Azure VMs, Azure Virtual Desktop). * Networking: Strong knowledge of enterprise network technologies for on-prem and hybrid/public cloud—Cisco Route/Switch, Arista, Fortinet, Aryaka SD-WAN, Juniper Mist Wireless, and Azure networking. * Cloud: Proficiency in cloud platforms, preferably Microsoft Azure (IaaS, PaaS, identity, governance). Experience with AWS or GCP is a plus. * Automation & IaC: Expertise in scripting languages (Python, Bash, PowerShell) and IaC/configuration management tools (Terraform, Ansible). * Strong knowledge of networking protocols, firewalls, load balancing, and network segmentation. * Experience with infrastructure monitoring and observability tools. * Familiarity with ITIL processes and IT service management (ServiceNow preferred). * Certifications such as CCNP, AWS Solutions Architect, Microsoft Azure Administrator/Expert, VMware VCP, or NetApp certifications are highly desirable. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $105,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.", "summaryDescription" : "Lead Infrastructure Engineer at Fortune Brands", "postedDate" : "2026-06-15T15:54:13.000", "createdAt" : "2026-06-16T00:06:24.703", "lastUpdated" : "2026-06-16T10:40:05.495", "ingestTimestamp" : "2026-06-16T00:06:24.703", "mongoId" : "6a306969f292fd229cfc816a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306402f292fd229cf9fcb0", "title" : "Lead Infrastructure Engineer", "company" : "Fortune Brands Innovations", "industry" : "Consumer Goods", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Infrastructure Engineer in Bulgaria, adjusted for full-time employment and the technology industry." }, "location" : "Deerfield, ILLINOIS, United States", "locations" : [ "Deerfield", "ILLINOIS", "United States" ], "timestamp" : "2026-06-16T08:34:49.586", "fingerprint" : "ca2c3369a542c7392a46be19d7e3b9efbf0675b481380a342096da4ef6915100", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132239560-lead-infrastructure-engineer", "externalId" : "744000132239560", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). PREFERED LOCATION - CLEVELAND OR PITTSBURGH. Job is remote - will need to visit data centers on occasion. The Lead Infrastructure Engineer plays a critical role in designing, implementing, and managing the backbone of FBIN’s IT infrastructure. As part of the FBIN IT Infrastructure team, this individual is responsible for ensuring the seamless integration of hardware, software, networks, and cloud services to support business operations effectively. As a lead engineer, they will lead teams, strategize technology solutions, and ensure systems' reliability, scalability, and security. Infrastructure Design & Strategy * Develop scalable infrastructure solutions that meet current and future business requirements by working closely with the Infrastructure and Architecture teams. * Define and promote strategies to efficiently integrate highly available and fault-tolerant infrastructure solutions across cloud (Azure) and on-premises environments, including active/active data center architectures. * Evaluate emerging technologies—including AI/ML infrastructure support, containerization, and edge computing—to identify opportunities for improvement and innovation. System Implementation & Maintenance * Storage & Backup: Design, manage, and support complex enterprise storage solutions (NetApp/EMC) and backup platforms (Commvault) deployed across on-prem and cloud environments. Lead storage migrations, capacity planning, and lifecycle management. * Compute & Virtualization: Administer the deployment, configuration, and maintenance of virtual server environments (VMware vSphere, Hyper-V) and cloud compute resources (Azure VMs, AVD). * Networking: Support enterprise network infrastructure including Cisco Route/Switch, Arista, Fortinet firewalls, Aryaka SD-WAN, and Juniper Mist Wireless. * Ensure optimal system performance, including uptime, speed, and resource utilization through proactive monitoring and tuning. * Automate routine infrastructure processes through scripting and Infrastructure-as-Code (IaC) tools such as Ansible, Terraform, or PowerShell. Team Leadership * Lead and mentor a team of infrastructure engineers, fostering professional growth, collaboration, and a culture of continuous improvement aligned with the FBIN Blueprint. * Coordinate with cross-functional teams, including software development, cybersecurity, enterprise architecture, and IT operations. * Develop training programs and knowledge-sharing practices to keep team members current with evolving technologies and industry best practices. Security and Compliance * Implement robust security measures, including firewalls, intrusion detection systems, network segmentation, and encryption technologies. * Ensure compliance with industry standards and regulations such as SOX, GDPR, HIPAA, or PCI-DSS. * Monitor systems for vulnerabilities and respond proactively to security incidents. Partner with the Cybersecurity team on risk assessments and audit readiness. Monitoring and Optimization * Utilize infrastructure monitoring and observability tools to identify potential issues before they impact users and ensure service-level commitments are met. * Optimize infrastructure for cost efficiency (FinOps), balancing performance with budget constraints across on-prem and cloud spend. * Contribute to capacity planning, right-sizing, and cloud cost governance. SKILLS AND COMPETENCIES * Strategic Thinking: Ability to think ahead and align infrastructure goals with the organization's vision and business growth. * Technical Expertise: Deep understanding of enterprise compute, storage, networking, cloud platforms, and emerging technologies. * Leadership: Proven capability to manage, mentor, and inspire teams to achieve operational excellence. * Problem-Solving: Strong analytical skills to identify root causes and resolve complex infrastructure issues swiftly. * Communication: Effective communication skills to collaborate with both technical and non-technical stakeholders, including executive leadership. * Ownership & Accountability: Demonstrates integrity, takes ownership, and drives results aligned with FBIN values. ## Qualifications * Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. * Minimum 5–8 years of experience in infrastructure engineering, with at least 2 years in a leadership or senior technical role. * Storage & Backup (required): Excellent knowledge of enterprise data storage platforms (NetApp, EMC) and backup applications (Commvault), including replication, tiering, and disaster recovery. * Compute & Virtualization: Hands-on experience with VMware vSphere, Hyper-V, and cloud compute services (Azure VMs, Azure Virtual Desktop). * Networking: Strong knowledge of enterprise network technologies for on-prem and hybrid/public cloud—Cisco Route/Switch, Arista, Fortinet, Aryaka SD-WAN, Juniper Mist Wireless, and Azure networking. * Cloud: Proficiency in cloud platforms, preferably Microsoft Azure (IaaS, PaaS, identity, governance). Experience with AWS or GCP is a plus. * Automation & IaC: Expertise in scripting languages (Python, Bash, PowerShell) and IaC/configuration management tools (Terraform, Ansible). * Strong knowledge of networking protocols, firewalls, load balancing, and network segmentation. * Experience with infrastructure monitoring and observability tools. * Familiarity with ITIL processes and IT service management (ServiceNow preferred). * Certifications such as CCNP, AWS Solutions Architect, Microsoft Azure Administrator/Expert, VMware VCP, or NetApp certifications are highly desirable. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $105,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. 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You’ll work closely with the Infrastructure and DevOps team to help automate, manage, and scale internal systems using too", "summaryDescription" : "Software Engineering Intern, Systems at Bear Robotics. Skills: Systems Engineering. Automate internal systems. 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"2026-06-16T01:51:58.462", "lastUpdated" : "2026-06-16T11:50:54.192", "ingestTimestamp" : "2026-06-16T01:51:58.462", "mongoId" : "6a307f83f292fd229c05a202", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306afff292fd229cfceb65", "title" : "Manager, Infrastructure Security Engineering", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager, Infrastructure Security Engineering in New York, NY, adjusted for the media industry and full-time employment." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T12:04:32.119", "fingerprint" : "822ff40ef269531e2ae91f9239ef1a67c54a46c9b826d25ad7e4cd13974001fb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132206379-manager-infrastructure-security-engineering", "externalId" : "744000132206379", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Join NBCUniversal Cyber Security and lead a team that designs, delivers, and operates enterprise cyber services that protect our employees, platforms, and businesses. This role is accountable for reliable, scalable security capabilities across the NBCU cyber infrastructure portfolio, partnering with stakeholders to reduce risk while enabling innovation and speed. As an Engineering Manager within Enterprise Cyber Services, you will provide technical and people leadership across the NBCU cyber infrastructure portfolio—including, network/security perimeter services, endpoint and server protection, security tooling and automation, vulnerability and configuration management, cyber platform secrets and key management, and cloud security enablement. You will also drive standard telemetry patterns and integrations with the enterprise SIEM (e.g., log onboarding governance, normalization/parsing, and alert/detection partnership) to ensure security services and platforms produce high-quality, actionable signals. You will partner with service leads to drive roadmap execution, service reliability, operational excellence, and continuous improvement while building strong partnerships with Security Operations, Architecture, Infrastructure, and product teams across the enterprise. Responsibilities : * Lead and develop a team of engineers responsible for building and operating enterprise cyber services; establish clear goals, provide coaching and feedback, and support career growth. * Own service delivery and contribute to multi-quarter roadmap across the cyber infrastructure portfolio pillars (e.g., network security services, endpoint/server security, vulnerability management, logging, telemetry, and SIEM integration, automation, secrets/key management, and cloud security enablement), aligning priorities to business needs and risk reduction. * Drive secure-by-design engineering practices, reference architectures, and standard patterns for onboarding new platforms and business entities, ensuring consistent control implementation and data quality across NBCUniversal. * Accountable for reliability, performance, and lifecycle management of cyber services, including capacity planning, patching, upgrades, vendor engagement, and cost management. * Establish and maintain operational excellence: SLAs/SLOs, service health metrics, runbooks, incident response playbooks, problem management, and post-incident reviews with measurable corrective actions. * Partner with Security Operations and Threat teams on logging, telemetry, and SIEM integration to ensure detections are effective, prioritized, and continuously improved (e.g., log onboarding/integration, parsing/normalization, correlation, alert tuning). * Collaborate cross-functionally with Architecture, Infrastructure, Cloud, and Application teams to plan and deliver integrations, migrations, and new capabilities; translate requirements into actionable engineering work. * Implement governance for security service onboarding and change management, including intake processes, technical reviews, documentation standards, and audit-ready evidence (in partnership with Risk/Compliance where applicable). * Champion automation and Infrastructure-as-Code to improve consistency and speed of delivery (CI/CD, configuration management, and policy-as-code) across cyber infrastructure services. * Manage on-call and escalation processes for critical services, ensuring effective coverage, clear communications, and continuous reduction of operational toil. ## Qualifications Basic Requirements : * 7+ years of experience in cybersecurity engineering, infrastructure/platform engineering, SRE/DevOps, or related fields. * 2+ years of engineering leadership experience (people management or technical/team leadership), including coaching, prioritization, and delivering outcomes through others. * Bachelor’s Degree in Computer Science, Engineering, or equivalent experience. * Demonstrated knowledge in defense-in-depth, zero trust, segmentation, least privilege, and service hardening. * Highly collaborative and able to work across teams; strong problem-solving and analytical skills. * Demonstrated experience operating production services: SLOs/SLAs, incident/problem/change management, runbooks, post-incident reviews, and measurable reliability improvements. Desired Characteristics : Domain Expertise (Cyber Infrastructure): * Network and security perimeter services: DNS, TLS, WAF, proxies, firewalls, VPN/remote access, load balancing, and secure connectivity patterns. * Endpoint and server security: EDR concepts, OS hardening baselines, patching and vulnerability remediation workflows, and configuration compliance. * Logging, telemetry, and SIEM integration: observability tools (Datadog or similar), log source onboarding/integration, normalization/parsing, data quality, retention, correlation, and alert tuning; ability to partner with the SIEM platform and detection engineering teams to deliver actionable telemetry. * Security tooling and automation: building integrations and workflows via APIs, event-driven automation, and CI/CD enablement to reduce operational toil and standardize control implementation. * Vulnerability and configuration management: asset inventory concepts, scan coverage, exception/risk acceptance, remediation SLAs, and reporting. * Secrets and key management: KMS/HSM concepts, certificate lifecycle, rotation, break-glass access, and integrating secrets into CI/CD and runtime. * Cloud security enablement: partner with Cloud Security service team to ensure infrastructure services are supported with cloud deployment in mind. Platforms & Engineering Practices: * Operating systems : Strong Linux administration; working knowledge of Windows Server for enterprise integrations. * Cloud : AWS or Azure (networking, IAM, logging, and KMS), including hybrid connectivity patterns. * Infrastructure as Code : Terraform or CloudFormation/ARM/Bicep; policy-as-code where applicable. * CI/CD and source control : Git-based workflows; pipelines such as GitHub Actions, Jenkins, or AWS CodePipeline; and secrets handling in pipelines. * Automation and scripting : Python and Bash (or equivalent) for service automation, integrations, and data processing. * Logging and SIEM platforms : Splunk (or equivalent SIEM): log onboarding/integration, source troubleshooting, parsing/normalization, and collaboration with the SIEM platform team; log forwarders/pipelines such as Vector/Logstash and streaming via Kafka (or equivalent). * Containers and orchestration : Docker and Kubernetes, including secure configuration and runtime considerations. * Vulnerability and configuration tooling : Experience operating vulnerability scanning and configuration compliance tools (vendor-specific acceptable), plus remediation workflow tracking. * Secrets and key management tooling : Enterprise secrets manager and KMS/HSM integration experience (vendor-specific acceptable). * Observability : Service health monitoring, metrics, and dashboards (Datadog or similar) to support SLOs and incident response. Additional Requirements: * Fully Remote : This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $125,000 - $150,000 (bonus eligible) We are accepting applications for this position on an ongoing basis. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.", "summaryDescription" : "Manager, Infrastructure Security Engineering at NBCUniversal", "postedDate" : "2026-06-15T13:43:43.000", "createdAt" : "2026-06-16T00:09:42.198", "lastUpdated" : "2026-06-16T12:04:32.119", "ingestTimestamp" : "2026-06-16T00:09:42.198", "mongoId" : "6a306afff292fd229cfceb65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ff3f292fd229ceeb336", "title" : "Manager, Infrastructure Security Engineering", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager, Infrastructure Security Engineering in New York, NY, adjusted for the media industry and full-time employment." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T05:01:41.966", "fingerprint" : "3dd52168e3355643a7c3651d9235e02488a3627469faa9d817808ac4ed42c85b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132206379-manager-infrastructure-security-engineering", "externalId" : "744000132206379", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Join NBCUniversal Cyber Security and lead a team that designs, delivers, and operates enterprise cyber services that protect our employees, platforms, and businesses. This role is accountable for reliable, scalable security capabilities across the NBCU cyber infrastructure portfolio, partnering with stakeholders to reduce risk while enabling innovation and speed. As an Engineering Manager within Enterprise Cyber Services, you will provide technical and people leadership across the NBCU cyber infrastructure portfolio—including, network/security perimeter services, endpoint and server protection, security tooling and automation, vulnerability and configuration management, cyber platform secrets and key management, and cloud security enablement. You will also drive standard telemetry patterns and integrations with the enterprise SIEM (e.g., log onboarding governance, normalization/parsing, and alert/detection partnership) to ensure security services and platforms produce high-quality, actionable signals. You will partner with service leads to drive roadmap execution, service reliability, operational excellence, and continuous improvement while building strong partnerships with Security Operations, Architecture, Infrastructure, and product teams across the enterprise. Responsibilities : * Lead and develop a team of engineers responsible for building and operating enterprise cyber services; establish clear goals, provide coaching and feedback, and support career growth. * Own service delivery and contribute to multi-quarter roadmap across the cyber infrastructure portfolio pillars (e.g., network security services, endpoint/server security, vulnerability management, logging, telemetry, and SIEM integration, automation, secrets/key management, and cloud security enablement), aligning priorities to business needs and risk reduction. * Drive secure-by-design engineering practices, reference architectures, and standard patterns for onboarding new platforms and business entities, ensuring consistent control implementation and data quality across NBCUniversal. * Accountable for reliability, performance, and lifecycle management of cyber services, including capacity planning, patching, upgrades, vendor engagement, and cost management. * Establish and maintain operational excellence: SLAs/SLOs, service health metrics, runbooks, incident response playbooks, problem management, and post-incident reviews with measurable corrective actions. * Partner with Security Operations and Threat teams on logging, telemetry, and SIEM integration to ensure detections are effective, prioritized, and continuously improved (e.g., log onboarding/integration, parsing/normalization, correlation, alert tuning). * Collaborate cross-functionally with Architecture, Infrastructure, Cloud, and Application teams to plan and deliver integrations, migrations, and new capabilities; translate requirements into actionable engineering work. * Implement governance for security service onboarding and change management, including intake processes, technical reviews, documentation standards, and audit-ready evidence (in partnership with Risk/Compliance where applicable). * Champion automation and Infrastructure-as-Code to improve consistency and speed of delivery (CI/CD, configuration management, and policy-as-code) across cyber infrastructure services. * Manage on-call and escalation processes for critical services, ensuring effective coverage, clear communications, and continuous reduction of operational toil. ## Qualifications Basic Requirements : * 7+ years of experience in cybersecurity engineering, infrastructure/platform engineering, SRE/DevOps, or related fields. * 2+ years of engineering leadership experience (people management or technical/team leadership), including coaching, prioritization, and delivering outcomes through others. * Bachelor’s Degree in Computer Science, Engineering, or equivalent experience. * Demonstrated knowledge in defense-in-depth, zero trust, segmentation, least privilege, and service hardening. * Highly collaborative and able to work across teams; strong problem-solving and analytical skills. * Demonstrated experience operating production services: SLOs/SLAs, incident/problem/change management, runbooks, post-incident reviews, and measurable reliability improvements. Desired Characteristics : Domain Expertise (Cyber Infrastructure): * Network and security perimeter services: DNS, TLS, WAF, proxies, firewalls, VPN/remote access, load balancing, and secure connectivity patterns. * Endpoint and server security: EDR concepts, OS hardening baselines, patching and vulnerability remediation workflows, and configuration compliance. * Logging, telemetry, and SIEM integration: observability tools (Datadog or similar), log source onboarding/integration, normalization/parsing, data quality, retention, correlation, and alert tuning; ability to partner with the SIEM platform and detection engineering teams to deliver actionable telemetry. * Security tooling and automation: building integrations and workflows via APIs, event-driven automation, and CI/CD enablement to reduce operational toil and standardize control implementation. * Vulnerability and configuration management: asset inventory concepts, scan coverage, exception/risk acceptance, remediation SLAs, and reporting. * Secrets and key management: KMS/HSM concepts, certificate lifecycle, rotation, break-glass access, and integrating secrets into CI/CD and runtime. * Cloud security enablement: partner with Cloud Security service team to ensure infrastructure services are supported with cloud deployment in mind. Platforms & Engineering Practices: * Operating systems : Strong Linux administration; working knowledge of Windows Server for enterprise integrations. * Cloud : AWS or Azure (networking, IAM, logging, and KMS), including hybrid connectivity patterns. * Infrastructure as Code : Terraform or CloudFormation/ARM/Bicep; policy-as-code where applicable. * CI/CD and source control : Git-based workflows; pipelines such as GitHub Actions, Jenkins, or AWS CodePipeline; and secrets handling in pipelines. * Automation and scripting : Python and Bash (or equivalent) for service automation, integrations, and data processing. * Logging and SIEM platforms : Splunk (or equivalent SIEM): log onboarding/integration, source troubleshooting, parsing/normalization, and collaboration with the SIEM platform team; log forwarders/pipelines such as Vector/Logstash and streaming via Kafka (or equivalent). * Containers and orchestration : Docker and Kubernetes, including secure configuration and runtime considerations. * Vulnerability and configuration tooling : Experience operating vulnerability scanning and configuration compliance tools (vendor-specific acceptable), plus remediation workflow tracking. * Secrets and key management tooling : Enterprise secrets manager and KMS/HSM integration experience (vendor-specific acceptable). * Observability : Service health monitoring, metrics, and dashboards (Datadog or similar) to support SLOs and incident response. Additional Requirements: * Fully Remote : This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $125,000 - $150,000 (bonus eligible) We are accepting applications for this position on an ongoing basis. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.", "summaryDescription" : "Manager, Infrastructure Security Engineering at NBCUniversal", "postedDate" : "2026-06-15T13:43:43.000", "createdAt" : "2026-06-15T21:39:07.512", "lastUpdated" : "2026-06-16T05:01:41.966", "ingestTimestamp" : "2026-06-15T21:39:07.512", "mongoId" : "6a304ff3f292fd229ceeb336", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308fccf292fd229c0ad50d", "title" : "Engineering Manager, Core Infrastructure", "company" : "Ro", "industry" : "Engineering", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Engineering Manager, Core Infrastructure in New York, USA, adjusted for manager seniority and full-time employment at a company in the healthcare industry." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T14:48:26.065", "fingerprint" : "45e5c8e0d383f18f1a0f8502efccb99cf2f4873b95854caed43e3b61d83bf35f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ro/d2e897ae-3b4c-4219-ab0d-0403decc2115/apply", "externalId" : "d2e897ae-3b4c-4219-ab0d-0403decc2115", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "## Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: Solve complex, high-concurrency problems across a full-stack platform Build and ship quickly with tight feedback loops and real-world impact Own systems end-to-end, from architecture to production performance Work alongside experienced operators, technical leaders, and clinicians Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We're looking for an Engineering Manager to lead Core Infrastructure. This role is for a hands-on engineering leader who can create leverage through managing people, own execution, and bring strong technical and operational judgment to production systems. You will own a portfolio and lead a team responsible for scaling Ro’s infrastructure for increasing scale and AI-driven engineering workflows, while reducing system surface area, eliminating legacy complexity, and improving reliability and cost efficiency. Infrastructure plays a foundational role in Ro’s ability to help patients reach their health goals by making the systems behind their care more reliable, scalable, secure, and efficient. The right person will help the team balance reactive support with durable systems ownership: solving common needs once, reducing operational drag, and creating a high-context, high-trust environment where engineers can do their best work. ## What You’ll Do Lead and develop a Core Infrastructure team responsible for production-critical systems and foundational engineering capabilities. Own execution across the team’s portfolio: clarify priorities, sequence work, manage tradeoffs, and ensure high-quality delivery. Improve Ro’s infrastructure operating model by making ownership clearer, reducing recurring support burden, and converting operational pain into durable system improvements. Advance Ro’s reliability, observability, and disaster recovery posture through better operational practices, clearer readiness expectations, incident learning, and resilient infrastructure patterns. Partner with Product Engineering, Cyber, Data Infrastructure, and Infrastructure leadership to ensure Core Infrastructure work improves reliability, velocity, compliance, unit economics, and the systems that help patients access and stay engaged in care. Create a high-context, high-trust team environment with clear expectations, strong feedback/accountability loops, and space for engineers to do their best work. ## What You’ll Bring Experience leading infrastructure, platform, SRE, DevOps, backend, or production engineering teams in a cloud-native environment. Strong technical judgment across production infrastructure systems such as AWS, Kubernetes, serverless/Lambda architectures, Cloudflare or edge infrastructure, observability platforms like Datadog, and infrastructure-as-code tools such as Pulumi or Terraform. Experience improving operational systems such as on-call health, incident response, service ownership, reliability practices, disaster recovery readiness, documentation, and production support workflows. Experience operating infrastructure in regulated environments is a plus, especially where reliability, security, auditability, and HIPAA-adjacent considerations shape technical decisions. Comfort operating as a hands-on technical leader: close enough to architecture, incidents, reliability risks, cost drivers, and implementation tradeoffs to unblock decisions and raise the quality of execution. A pragmatic, forward-looking approach to new technologies, including AI-assisted engineering and operations. You are willing to experiment with emerging approaches such as AI-directed SRE investigations, incident analysis, operational automation, and developer productivity improvements while maintaining appropriate judgment around safety, reliability, and governance. Ability to convert ambiguous or recurring infrastructure problems into clear plans, scoped engineering work, and measurable outcomes. A management style that combines high standards with high support: you create clarity, build trust, develop engineers, and hold the team accountable for outcomes. ## Additional Information The target base salary for this position ranges from $219,300 to $260,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here.", "summaryDescription" : "Engineering Manager, Core Infrastructure at Ro", "postedDate" : "2026-06-15T13:33:29.004", "createdAt" : "2026-06-15T13:33:29.004", "lastUpdated" : "2026-06-16T14:48:26.065", "ingestTimestamp" : "2026-06-16T03:25:51.954", "mongoId" : "6a308fccf292fd229c0ad50d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306fd5f292fd229cfed7f4", "title" : "Software Engineer, Core Infrastructure", "company" : "Stripe", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Sydney, Australia, adjusted for the FinTech industry and a large company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T13:45:12.405", "fingerprint" : "c7681816b1e41eab6b79768fedfb8371ea5e4a744e42a74d25eb11fb210860d5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7975725", "externalId" : "7975725", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Cloud infrastructure, Platform services, Distributed systems, Operating system primitives, AWS, Azure, GCP, Oracle Cloud, Go, Rust, C/C++, Linux OS, Kubernetes, Container orchestration, Mesh networking, Service discovery", "professionalSkills" : [ "System design", "Roadmap planning", "Prioritization" ], "hardSkillsList" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Operating system primitives", "level" : "intermediate" }, { "name" : "Observability practices", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Kernel-level troubleshooting", "level" : "intermediate" }, { "name" : "Container mechanics", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Cloud infrastructure, Platform services, Observability", "majorSkillsList" : [ "Distributed systems", "Cloud infrastructure", "Platform services", "Observability" ], "coreResponsibilities" : "Design distributed cloud infrastructure, Build distributed cloud infrastructure, Maintain distributed cloud infrastructure, Build platform services, Maintain platform services, Scale infrastructure services, Automate infrastructure services, Ensure reliability of infrastructure services, Improve observability of infrastructure services, Operate services, Debug issues, Support customers, Participate in roadmap planning, Participate in prioritization", "teamCollaboration" : "Collaboration with product teams; Collaboration with various teams; Collaboration with external partners; Collaboration with open source community", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Financial infrastructure; Distributed systems; Cloud infrastructure; Operating system primitives; Container orchestration; Mesh networking; Service discovery", "domainList" : [ "financial-infrastructure", "distributed-systems", "cloud-infrastructure", "operating-system-primitives", "container-orchestration", "mesh-networking", "service-discovery" ], "domainSpecificKnowledge" : [ "Financial infrastructure", "Distributed systems", "Cloud infrastructure", "Operating system primitives", "Container orchestration", "Mesh networking", "Service discovery" ], "toolProficiency" : [ "Kubernetes" ], "problemSolvingSkills" : "Debugging distributed systems; Diagnosing low-level resource constraints; Troubleshooting", "qualificationsBasic" : "3+ years of professional experience, Experience building, deploying, and managing infrastructure on a major cloud provider, Engineering background in building platform services and/or distributed systems at scale, Solid grasp of underlying operating system primitives, Experience developing, maintaining, and debugging distributed systems, Diagnosing low-level resource constraints, Experience with operational excellence, Modern observability practices", "qualificationsPreferred" : "Experience with popular cloud technologies, Experience with Go or other systems languages, Experience with Linux OS internals, Performance optimization experience, Kernel-level troubleshooting experience, Experience working with Kubernetes clusters, Low-level container mechanics experience, Experience in networking and traffic systems at scale, Experience handling critical incidents for production systems", "remoteFriendly" : false, "rawDescription" : "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing cloud components for compute, cache, and networking. You will also build a great customer experience for internal Stripe teams that build on your software to power all of our products, globally and at scale. Responsibilities Design, build, and maintain distributed cloud infrastructure and platform services Work on scaling, automation, reliability, and observability of infrastructure services Operate your service, debug issues, and support customers Participate in roadmap planning and prioritization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 3+ years of professional experience in a software development role Experience building, deploying, and managing infrastructure on a major cloud provider A strong engineering background in building platform services and/or distributed systems at scale, with a solid grasp of underlying operating system primitives Experience developing, maintaining, and debugging distributed systems, including diagnosing low-level resource constraints Experience with operational excellence and modern observability practices, including distributed tracing, structured logging, and system-level metrics Preferred Qualifications Experience with popular cloud technologies — AWS, Azure, GCP, or Oracle Cloud Experience with Go or other systems languages (e.g., Rust, C/C++) Experience with Linux OS internals, performance optimization, and kernel-level troubleshooting Experience working with Kubernetes clusters and low-level container mechanics Experience in networking and traffic systems at scale Experience handling critical incidents for production systems", "summaryDescription" : "Software Engineer, Core Infrastructure at Stripe. Skills: Distributed systems, Cloud infrastructure, Platform services, Observability. Design distributed cloud infrastructure. Build distributed cloud infrastructure", "postedDate" : "2026-06-16T01:16:18.903", "createdAt" : "2026-06-16T01:16:18.903", "lastUpdated" : "2026-06-16T13:45:12.405", "ingestTimestamp" : "2026-06-16T01:16:18.903", "mongoId" : "6a306fd5f292fd229cfed7f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics", "Cloud infrastructure", "Platform services", "Observability", "System design", "Roadmap planning", "Prioritization", "Financial infrastructure", "Container orchestration", "Mesh networking", "Service discovery", "Kubernetes" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2103ce74d8ee00a0ac95cb", "title" : "Mainframe Engineering Lead - Infrastructure OR Systems Software Experience", "company" : "VTekis Consulting LLP", "industry" : "Hospital And Health Care", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Mainframe Engineering role in Jersey City, USA, adjusted for the technology industry and full-time employment." }, "location" : "Jersey City, NJ, United States", "locations" : [ "Jersey City", "NJ", "United States" ], "timestamp" : "2026-06-04T10:59:36.732", "fingerprint" : "c3b04824c931fc5abcb247b7712be8679d633ba2d5c1bb4371ba2d87383242e1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/VTekisConsultingLLP/744000130049069-mainframe-engineering-lead-infrastructure-or-systems-software-experience", "externalId" : "744000130049069", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jersey City", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7215682,-74.0474550" } ], "locationText" : "Jersey City, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "z/OS, JCL, DB2, IMS, CICS, RACF, ACF2, TSS, PARMLIB, UNIX System Services, HCD, SMP/E, IPL processes, ISPF/TSO", "professionalSkills" : [ "Lifecycle management", "Systems engineering", "Talent development", "Program management" ], "hardSkillsList" : [ "Mainframe hardware", "Mainframe software", "System programming", "Application development", "Security mechanisms" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "Mainframe hardware", "level" : "intermediate" }, { "name" : "Mainframe software", "level" : "intermediate" }, { "name" : "System programming", "level" : "intermediate" }, { "name" : "Application development", "level" : "intermediate" }, { "name" : "Security mechanisms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "Mainframe infrastructure, Systems software, Team leadership", "majorSkillsList" : [ "Mainframe infrastructure", "Systems software", "Team leadership" ], "coreResponsibilities" : "Lead mainframe hardware/software lifecycle management, Manage teams supporting z/OS environments, Provide technical leadership, Oversee security mechanisms, Drive modernization of mainframe services, Drive automation of mainframe services, Drive continuous improvement of mainframe services, Partner with data center services, Partner with production services, Partner with application development teams, Support enterprise initiatives, Lead managers, Develop technical staff, Guide cross-functional efforts, Guide complex programs", "teamCollaboration" : "Cross-functional efforts; Data center services; Production services; Application development teams", "projectManagementSkills" : [ "Complex projects" ], "domainKnowledge" : "Mainframe infrastructure; Systems software; z/OS; JCL; DB2; IMS; CICS; Source code management; SDLC practices; Security mechanisms; ITSM; ITIL practices; Release Management; Change Management", "domainList" : [ "mainframe-infrastructure", "systems-software", "z-os", "jcl", "db2", "ims", "cics", "source-code-management", "sdlc-practices", "security-mechanisms", "itsm", "itil-practices", "release-management", "change-management" ], "domainSpecificKnowledge" : [ "Mainframe infrastructure", "Systems software", "z/OS", "JCL", "DB2", "IMS", "CICS", "Source code management", "SDLC practices", "Security mechanisms", "ITSM", "ITIL practices", "Release Management", "Change Management" ], "toolProficiency" : [ "RACF", "ACF2", "TSS", "ISPF/TSO" ], "communicationSkills" : "Influence stakeholders", "innovationCreativity" : "Modernization; Automation; Continuous improvement", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities", "outcomesObjectives" : "Deliver mainframe initiatives; Support enterprise initiatives; Guide programs to outcomes", "qualificationsBasic" : "6–10 years infrastructure/systems engineering, Direct hands-on mainframe experience, Lead technical teams, Manage complex projects", "qualificationsPreferred" : "10+ years diverse IT experience, Financial services experience, z/OS, PARMLIB, UNIX System Services, HCD, SMP/E and maintenance routines, JCL, IPL processes, ISPF/TSO, Installation and support IBM OS/ISV software, ITSM / ITIL practices, Release and Change Management, Experience building/sustaining enterprise mainframe platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Key Responsibilities * Lead delivery of mainframe hardware and software lifecycle management initiatives * Manage teams supporting multiple z/OS mainframe environments * Provide technical leadership across core mainframe technologies including JCL, DB2, IMS, CICS, source code management, and SDLC practices * Oversee security mechanisms such as RACF, ACF2, and TSS * Drive modernization, automation, and continuous improvement of mainframe services * Partner with data center services, production services, and application development teams to support enterprise initiatives * Lead and develop managers and technical staff through coaching, mentoring, and talent development practices * Guide cross?functional efforts and complex programs to successful outcomes Qualifications & Experience * Bachelor’s degree in Engineering, Computer Science, or a related field * 6–10 years of relevant infrastructure or systems engineering experience * 10+ years of diverse IT experience preferred; financial services experience is a plus * Strong experience in mainframe infrastructure, system programming, or mainframe application development * Direct hands-on mainframe experience is required * Proven ability to lead technical teams and manage complex projects * Strong communication and collaboration skills with the ability to influence across technical and business stakeholders * Strategic mindset with strong analytical and problem?solving capabilities Technical Skills (Preferred) * z/OS, PARMLIB, UNIX System Services, HCD * SMP/E and maintenance routines * JCL, IPL processes, ISPF/TSO * Installation and support of IBM operating systems and ISV software * ITSM / ITIL practices including Release and Change Management Experience building and sustaining enterprise mainframe platforms. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Mainframe Engineering Lead - Infrastructure OR Systems Software Experience at VTekis Consulting LLP. Skills: Mainframe infrastructure, Systems software, Team leadership. Lead mainframe hardware/software lifecycle management. Manage teams supporting z/OS environments", "postedDate" : "2026-06-03T16:27:27.000", "createdAt" : "2026-06-04T08:02:20.458", "lastUpdated" : "2026-06-04T10:59:36.732", "ingestTimestamp" : "2026-06-04T08:02:20.458", "mongoId" : "6a2103ce74d8ee00a0ac95cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Mainframe hardware", "Mainframe software", "System programming", "Application development", "Security mechanisms", "Leadership", "Mentoring", "Coaching", "Mainframe infrastructure", "Systems software", "Team leadership", "Lifecycle management", "Systems engineering", "Talent development", "Program management", "Complex projects", "z/OS", "JCL", "DB2", "IMS", "CICS", "Source code management", "SDLC practices", "ITSM", "ITIL practices", "Release Management", "Change Management", "RACF", "ACF2", "TSS", "ISPF/TSO" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "health-care-provider", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a3065baf292fd229cfaadca", "title" : "Constellation Software Engineer, Infrastructure", "company" : "WindBorne Systems", "industry" : "Atlas Engineering", "salary" : { "min" : 130000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "RWC HQ", "locations" : [ "RWC HQ" ], "timestamp" : "2026-06-16T11:26:34.323", "fingerprint" : "46b70a6cf7d4c25663038353b86a3742c674aba02215f8aa7d66650eb9e7e125", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/windborne-systems/1bd96c4d-86e4-45cb-b9d1-f910a356fbef/application", "externalId" : "1bd96c4d-86e4-45cb-b9d1-f910a356fbef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood Shores", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5318804,-122.2480219" } ], "locationText" : "Redwood Shores, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Ruby on Rails, Postgres", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Data pipeline integrity", "Flight operations", "Automations" ], "hardSkills" : [ { "name" : "Data pipeline integrity", "level" : "intermediate" }, { "name" : "Flight operations", "level" : "intermediate" }, { "name" : "Automations", "level" : "intermediate" } ], "majorSkills" : "Infrastructure software, Data processing, 24/7 uptime systems", "majorSkillsList" : [ "Infrastructure software", "Data processing", "24/7 uptime systems" ], "coreResponsibilities" : "Build robust infrastructure, Build robust applications, Handle business-critical needs, Scale up Atlas around the globe, Keep constellation in the air, Own core infrastructure, Own data pipeline integrity, Ensure pipeline is reliable, Ensure pipeline is tamper-evident, Ensure pipeline is correctly permissioned, Architect core infrastructure, Support projects requiring clearance", "teamCollaboration" : "Hardware teams; Operations teams; Flight control teams", "domainKnowledge" : "Weather forecasts; Atmospheric data; Low-latency software systems", "domainList" : [ "weather-forecasts", "atmospheric-data", "low-latency-software-systems" ], "domainSpecificKnowledge" : [ "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "On-call, Work on U. S. government contracts, Work on export-controlled systems", "qualificationsBasic" : "Built and shipped full-stack applications, Responsible for 24/7 uptime systems, Handle on-call, Structure database and service infrastructure, Push low-latency software systems to full limit, Work in-person in Redwood Shores, CA, Eligibility for a U. S. security clearance, Be a U. S. citizen", "qualificationsPreferred" : "Fluency and comfort working with Ruby on Rails, Ability to quickly and pragmatically learn on the job, Implement pragmatic best practices forged from real-world, experienced pain, Clear understanding of constraints down to the metal", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufacture, and operate our own balloons, using the data they collect to generate otherwise unattainable weather intelligence. We're hiring a Constellation Infrastructure Software Engineer to scale and build up the mission critical systems that drive our planetary nervous system. You will be responsible for building up robust infrastructure and applications that can handle business-critical needs around flight operations and automations, data processing, and other operational demands to scale up Atlas around the globe. We are a small team handling all the software that keeps our entire constellation in the air. Development speed and robustness/security/stability are not mutually exclusive; we value pragmatic decisions, high autonomy, low egos, and a willingness to get your hands muddy in the dirt. This is a 24/7 uptime system and the heartbeat of the company. You will have immediate ownership and the opportunity to proactively drive software solutions with our hardware, operations, and flight control teams. What you'd own: - Core infrastructure around manufacturing, launch, flight, internal tools, and data processing. - Data pipeline integrity — Balloon observations flow from satellite downlinks through processing workers into customer-facing APIs. Ensuring this pipeline is reliable, tamper-evident, and correctly permissioned is as important as making it fast. - Architecting core infrastructure to support projects requiring clearance. You'd be a good fit if you: - Have built and shipped full-stack applications — fluency and comfort working with Ruby on Rails, Postgres, or ability to quickly and pragmatically learn on the job. - You’ve been responsible for 24/7 uptime systems. You can implement pragmatic best practices forged from real-world, experienced pain of handling such a system. You have the responsibility to handle on-call paired with the lazy engineer’s desire to clean up systems to minimize getting called as much as possible - Clear understanding of constraints down to the metal and ability. Ability to structure database and service infrastructure to push low-latency software systems to full limit. - Want to work in-person in Redwood Shores, CA with a small team where your decisions have immediate, visible impact Note: Parts of this role may involve work on U.S. government contracts or export-controlled systems. This can require eligibility for a U.S. security clearance or to be a U.S. citizen. BENEFITS - 401(k) - Health, Dental, and Vision insurance 100% covered - Unlimited PTO - Incentive Stock Option Plan - Office food and beverages (minimum 2x catered lunches & dinners a week) SALARY $130k-$180k** We are considering a range of backgrounds and experience levels for this position and adjust our offers accordingly to be competitive with market rates. LOCATION 1600 Bridge Parkway, Redwood Shores, CA. In person required.", "summaryDescription" : "Constellation Software Engineer, Infrastructure at WindBorne Systems. Skills: Infrastructure software, Data processing, 24/7 uptime systems. Build robust infrastructure. Build robust applications", "createdAt" : "2026-06-16T00:24:38.921", "lastUpdated" : "2026-06-16T11:26:34.323", "ingestTimestamp" : "2026-06-16T00:24:38.921", "mongoId" : "6a3065baf292fd229cfaadca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline integrity", "Flight operations", "Automations", "Infrastructure software", "Data processing", "24/7 uptime systems", "System design", "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a204f292fd229c118374", "title" : "Engineering Manager, Billing Systems", "company" : "Omada Health", "industry" : "Healthcare", "salary" : { "min" : 171600.0, "max" : 224250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:03:05.865", "fingerprint" : "49aee4a6d548dcd082fbaffa3a8d6f669e604f2df7708819269fb453d3b48dd0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/omadahealth/jobs/7983241", "externalId" : "7983241", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Omada Health is on a mission to bend the curve of chronic disease. About the Role: We are searching for an Engineering Manager to drive our B2B capabilities, including Billing, Incentives, and Performance Guarantees. This role requires technical acumen and strong leadership to advance our business objectives. In this role you will lead a distributed team that plays a vital role in new client implementations, enabling new partnerships, and expanding the scope and reach of Omada Health. This is not a pure people manager role. You will bring genuine technical depth, help set architectural direction, and be the person your team looks to when there is no clear answer. You will also be expected to think ahead — to understand where this domain needs to go, make the bets, and connect strategy to the team's day-to-day. You will leverage your deep technical expertise in technologies like Ruby on Rails, Sidekiq, Redis, and Postgres to ensure system excellence, while also integrating AI advancements. Your leadership will be pivotal in fostering a culture of innovation and collaboration, encouraging diverse perspectives and driving the professional growth of your team as they contribute to our strategic goals. What You Do: Lead and mentor a team of engineers, emphasizing technical excellence, productivity, and stakeholder satisfaction. Collaborate with cross-functional teams to align technical strategies with business goals, translating high-level vision into actionable objectives. Engage in direct technical contributions approximately 5–10% of your time to support system performance and scalability through activities like code reviews, architectural guidance, and hands-on debugging during critical incidents. Foster an inclusive culture that embraces diversity, promotes work-life balance, and nurtures professional development. Navigate complex projects within regulated industries, embedding security and compliance in everything you design. Define where the Billing domain needs to be in 12–24 months, translate that into team bets and priorities, and own that narrative Model and actively drive the use of AI-powered developer tools — agentic coding, AI-assisted code review, LLM-assisted debugging — as a core part of the team's SDLC. Qualifications: 8+ years of software development experience, ideally within the Billing domain 5+ years of management experience in engineering with a focus on delivering business-impactful solutions. Demonstrated ability to set technical strategy and connect it to team execution — not just managing delivery, but shaping direction. Active practitioner of AI-powered development tools and passionate about integrating AI into business solutions. You know how to build a roadmap, plan for capacity, evaluate trade-offs, and know how to negotiate with your stakeholders. Proven ability to attract, retain, and develop engineering talent. Excellent communication and collaboration skills with a strategic mindset. Strong cross-functional influence skills — you build trust with non-engineering stakeholders (RCM, Finance, Accounting, Compliance) and navigate ambiguous organizational dynamics without positional authority. Comfortable working in a highly regulated environment Technologies We Use: Ruby on Rails, Sidekiq, Redis, Postgres Docker, Kubernetes, and modern frameworks Cursor, Claude Code, or any other AI-powered development tooling Benefits: Competitive salary with generous annual cash bonus Equity grants Remote first work from home culture Flexible Time Off to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,250*, Colorado Base Compensation Ranges: $171,600 - $214,500*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please click here for more information on our Candidate Privacy Notice.", "summaryDescription" : "Engineering Manager, Billing Systems at Omada Health", "postedDate" : "2026-06-16T03:17:32.022", "createdAt" : "2026-06-16T03:17:32.022", "lastUpdated" : "2026-06-16T11:03:05.865", "ingestTimestamp" : "2026-06-16T03:17:32.022", "mongoId" : "6a30a204f292fd229c118374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 171600, "salaryAnnualMax" : 224250, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305128f292fd229cefb509", "title" : "Manager, Operations Engineering (Physical Infrastructure)", "company" : "xAI", "salary" : { "min" : 175500.0, "max" : 258500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Operations Engineering Manager in Memphis, TN, adjusted for manager seniority and technology industry." }, "location" : "Memphis, Tennessee, United States", "locations" : [ "Memphis", "Tennessee", "United States" ], "timestamp" : "2026-06-16T08:46:31.678", "fingerprint" : "255660a85fc22ed34f3fa3cef69e631fdf3ff3c063b245e21bc6c673fa1339d1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xai/jobs/5164998007", "externalId" : "5164998007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Memphis", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1460260,-90.0517786" } ], "locationText" : "Memphis, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "rawDescription" : "ABOUT xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As a Manager, Operations Engineering (Physical Infrastructure) on the xAI infrastructure team, you will lead the design, build, activation, and continuous optimization of the world’s most technically advanced data centers and AI compute facilities. You will own end-to-end operational excellence for physical infrastructure, driving process improvements, metrics-driven decision making, and cross-functional alignment to ensure maximum uptime, efficiency, and scalability. This role will report directly to the department head (or equivalent senior leader) and serve as a key leader org-wide, managing a team of operations engineers and analysts while acting as a strategic partner to site directors, construction, maintenance, and facilities teams. If you thrive on strategic planning, leading continuous improvement initiatives, building high-performing teams, and operating in a dynamic, fast-paced environment, this role is for you! RESPONSIBILITIES: Lead and develop a team of Operations Engineers and analysts focused on physical infrastructure optimization for xAI’s hyperscale data centers Define and own department-level visual standards, JIRA workflows, PowerBI dashboards, and operational processes; drive adoption and continuous refinement across the organization Champion department-wide continuous improvement projects, including new process rollouts, standardization, and lean/six sigma initiatives Partner with all levels of the business to map current workflows, identify systemic gaps, and implement scalable solutions Establish and evolve department-level metrics & dashboards that quantify operational health, drive data-informed decisions, and demonstrate impact to leadership Conduct in-depth analyses using SQL, Python, Excel, and other tools to uncover trends, mitigate risks, and recommend optimizations Develop and implement automation, tools, and reports that reduce business risk, improve efficiencies, and enhance communication with facility and site directors Lead department-wide operations audits to streamline repair, maintenance, and construction engineering workflows Own maintenance program enhancements, focusing resources on critical hardware health while descoping low-value work Evaluate, select, and implement construction management, maintenance, and facilities tools (software/hardware) to minimize waste and maximize technician/engineer productivity Perform site services analysis for contracts (custodial, utilities, waste, power, cooling, fiber, etc.), negotiate improvements, and build roadmaps for cost optimization and reliability Standardize material libraries and procurement processes to reduce lead times and support rapid scaling across sites Drive alignment and best-practice sharing with maintenance and construction teams at other xAI sites nationwide to eliminate duplication and accelerate execution Build and mentor high-performing cross-functional teams while fostering a culture of operational excellence and accountability BASIC QUALIFICATIONS: Bachelor’s degree in an engineering discipline, operations research, industrial engineering, management science, or related field 5+ years of experience in operations, process improvement, or facilities management (with progressive leadership experience managing teams or projects) Demonstrated experience with Excel, SQL, Python, Power BI, JIRA, or similar tools for data analysis, visualization, and workflow management Proven track record leading cross-functional initiatives in fast-paced environments PREFERRED SKILLS AND EXPERIENCE: Previous experience in data centers, hyperscale infrastructure, manufacturing, supply chain, or production environments Strong proficiency in statistics, data analysis, data visualization, cost-benefit analysis, and operational excellence frameworks (Lean, Six Sigma, etc.) Hands-on experience with CAD, ArcGIS, Archibus, BMS/SCADA, ERP systems, inventory/capacity planning, or critical infrastructure (MEP systems) Experience contributing to or leading multi-disciplinary teams in construction, commissioning, or facilities operations Excellent written and verbal communication skills with the ability to influence stakeholders at all levels Ability to thrive in a dynamic environment with extended hours/weekends as needed and occasional short-notice travel ADDITIONAL REQUIREMENTS: Must be able to work extended hours and/or weekends as needed, including occasional short-notice domestic travel xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.", "summaryDescription" : "Manager, Operations Engineering (Physical Infrastructure) at xAI", "postedDate" : "2026-06-15T23:15:42.658", "createdAt" : "2026-06-15T23:15:42.658", "lastUpdated" : "2026-06-16T08:46:31.678", "ingestTimestamp" : "2026-06-15T23:15:42.658", "mongoId" : "6a305128f292fd229cefb509", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175500, "salaryAnnualMax" : 258500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309065f292fd229c0b3995", "title" : "Team Lead | Engineering", "company" : "ComparaJá", "industry" : "Technology", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Engineering Team Lead in Lisbon, Portugal, adjusted for the FinTech industry and company size." }, "location" : "Lisboa, Lisboa, Portugal", "locations" : [ "Lisboa", "Lisboa", "Portugal" ], "timestamp" : "2026-06-16T11:34:12.321", "fingerprint" : "a549f2819e5ce22fe9e6ca0f407ccb2c1beeb439945993a430a4cde701f09e2f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/comparaja/jobs/7773337003", "externalId" : "7773337003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C#, Python, Nuxt/VueJS, PostgreSQL, AWS", "professionalSkills" : [ "Project management", "System design" ], "hardSkillsList" : [ "Software development", "CI/CD pipelines", "Automated testing", "Code reviews" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Software development, Team leadership, Process optimization, AI prototyping", "majorSkillsList" : [ "Software development", "Team leadership", "Process optimization", "AI prototyping" ], "coreResponsibilities" : "Own delivery of high-quality software, Lead technical direction of projects, Ensure software delivered on time, Ensure software meets business requirements, Ensure software adheres to standards, Optimize development processes, Review development lifecycle, Improve development lifecycle, Coach developers, Mentor developers, Provide technical guidance, Provide mentorship, Provide support, Foster professional growth, Foster engineering excellence, Ensure modern development standards, Promote best practices, Implement best practices, Collaborate with product managers, Collaborate with designers, Collaborate with stakeholders, Align technical decisions, Make critical decisions, Ensure long-term scalability, Ensure maintainability, Explore new technologies, Explore new frameworks, Explore new methodologies, Rapidly prototype ideas", "teamCollaboration" : "Cross-functional teams; International environment", "projectManagementSkills" : [ "Project management principles" ], "domainKnowledge" : "SaaS applications; Cloud-based applications; AI prototyping", "domainList" : [ "saas-applications", "cloud-based-applications", "ai-prototyping" ], "domainSpecificKnowledge" : [ "SaaS applications", "Cloud-based applications", "AI prototyping" ], "toolProficiency" : [ "CI/CD", "AWS" ], "continuousLearning" : "Knowledge sharing; Learn from peers", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Analytical mindset", "qualificationsBasic" : "Proven experience as Engineering Manager, Proven experience as Tech Lead, Proven experience as Senior Software Engineer, Experience managing development of SaaS applications, Experience managing development of cloud-based applications, Fluency in Portuguese, Fluency in English", "qualificationsPreferred" : "Experience in coaching teams, Experience in mentoring teams, Experience in optimizing processes, Experience with Nuxt/VueJS, Experience with PostgreSQL, Experience with AWS", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Team Lead | Engineering - ComparaJá.pt – Lisbon (Hybrid) Job Summary We are looking for a highly skilled and experienced Team Lead to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency. This is an office role based in Alvalade, Lisbon with flexibility to work remotely. Key Responsibilities Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability. Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity. Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing. Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles. Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle. Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase. Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI. About You Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role. Strong interpersonal skills and ability to effectively communicate with teams across the organisation. You have an analytical mindset to develop the best-fit technical solution. You have excellent leadership and decision-making skills, and knowledge of project management principles. You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business. You are comfortable working in an international environment. Skills Required: Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader Experience with managing the development of SaaS and cloud-based applications Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary. Fluency in Portuguese and English is required. Why Join Us: Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO Competitive salary and benefits Start date: as soon as possible About Us ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone. At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way. What We Offer ❤️ Health insurance \uD83C\uDF7D️ Meal card \uD83D\uDE89 Transport subsidy \uD83D\uDE80 Opportunity to work on meaningful projects that power internal operations \uD83E\uDD1D A supportive, fast-moving, and collaborative team environment #LI-Hybrid", "summaryDescription" : "Team Lead | Engineering at ComparaJá. Skills: Software development, Team leadership, Process optimization, AI prototyping. Own delivery of high-quality software. Lead technical direction of projects", "postedDate" : "2026-06-16T03:15:58.287", "createdAt" : "2026-06-16T03:15:58.287", "lastUpdated" : "2026-06-16T11:34:12.321", "ingestTimestamp" : "2026-06-16T03:15:58.287", "mongoId" : "6a309065f292fd229c0b3995", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Software development", "CI/CD pipelines", "Automated testing", "Code reviews", "Leadership", "Mentoring", "Team leadership", "Process optimization", "AI prototyping", "Project management", "System design", "Project management principles", "SaaS applications", "Cloud-based applications", "CI/CD", "AWS" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30763bf292fd229c017522", "title" : "Software Engineering Manager", "company" : "KnowBe4", "industry" : "Cybersecurity", "salary" : { "min" : 95000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Engineering Manager in Bulgaria, adjusted for manager seniority and the technology industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T10:35:28.591", "fingerprint" : "bc79d6fb5faa829097756080f020d724edc75226dbab3ed817d7cc2d146dc137", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/knowbe4/jobs/8592913002", "externalId" : "8592913002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Golang, Rust, AWS ECS, AWS Lambda, AWS Eventbridge, AWS SQS, AWS SNS, DynamoDB, SSM, IAM, C#, Python, Terraform, GitLab CI/CD, AI", "professionalSkills" : [ "People leadership", "Backend depth", "Roadmap planning", "Dependency management", "Predictable shipping", "Technical communication", "Design docs", "Architecture reviews", "Hiring", "Performance conversations", "System design", "IaC at scale", "Multi-region IaC", "CI deploy patterns", "Pipeline design", "Multi-environment deployment", "Security engineering concepts", "Threat modeling", "Zero-trust principles", "Secrets management" ], "hardSkillsList" : [ "Email delivery", "Event publish", "Subscribe pattern", "Outbound notification delivery", "Rate limiting", "Retry logic", "Message routing", "Delivery tracking", "Idempotency", "Dead-letter queues", "Backoff strategy", "Event emission", "Notification sending", "Backward compatibility", "Terraform provisioning", "Governing messaging", "Event layer", "Delivery guarantees", "Email reputation", "Bounce handling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Email delivery", "level" : "intermediate" }, { "name" : "Event publish", "level" : "intermediate" }, { "name" : "Subscribe pattern", "level" : "intermediate" }, { "name" : "Outbound notification delivery", "level" : "intermediate" }, { "name" : "Rate limiting", "level" : "intermediate" }, { "name" : "Retry logic", "level" : "intermediate" }, { "name" : "Message routing", "level" : "intermediate" }, { "name" : "Delivery tracking", "level" : "intermediate" }, { "name" : "Idempotency", "level" : "intermediate" }, { "name" : "Dead-letter queues", "level" : "intermediate" }, { "name" : "Backoff strategy", "level" : "intermediate" }, { "name" : "Event emission", "level" : "intermediate" }, { "name" : "Notification sending", "level" : "intermediate" }, { "name" : "Backward compatibility", "level" : "intermediate" }, { "name" : "Terraform provisioning", "level" : "intermediate" }, { "name" : "Governing messaging", "level" : "intermediate" }, { "name" : "Event layer", "level" : "intermediate" }, { "name" : "Delivery guarantees", "level" : "intermediate" }, { "name" : "Email reputation", "level" : "intermediate" }, { "name" : "Bounce handling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Platform engineering, Messaging systems, Event-driven architecture, AWS", "majorSkillsList" : [ "Platform engineering", "Messaging systems", "Event-driven architecture", "AWS" ], "coreResponsibilities" : "Own the team that shapes the foundation, Lead at the intersection of identity, platform reliability, Grow engineers who solve problems, Build high-throughput email delivery services, Build low-latency send pipelines, Handle batching, deliverability, and bounce processing, Build outbound channel integrations, Build connectors for Microsoft Teams, Build connectors for Slack, Build connectors for Google Chat, Build webhook-based delivery, Implement rate limiting, Implement retry logic, Implement per-channel formatting logic, Build event publish and subscribe infrastructure, Build subscribers backed by AWS Eventbridge, Build message routing layer, Coordinate state changes across bounded contexts, Ensure delivery reliability, Ensure observability, Implement idempotency, Implement dead-letter queues, Implement retry and backoff strategy, Implement end-to-end delivery tracking, Build cross-team messaging SDKs, Let other engineering teams emit events, Let other engineering teams send notifications, Provision IaC at scale, Govern the messaging and events layer, Manage engineers directly, Run hiring loops, Handle performance conversations, Grow people into larger roles, Evaluate designs, Reason about systems your team designs, Plan roadmaps, Manage dependencies, Achieve predictable shipping, Write design docs, Write RFCs, Conduct architecture reviews, Synthesize complexity into clear proposals, Lead a software team, Develop software using KnowBe4 SDLC, Follow Agile Methodologies, Recommend solutions to engineering problems, Provide recommendations for hiring, Provide recommendations for firing, Provide recommendations for promotion, Provide recommendations for discipline", "teamCollaboration" : "Cross-organizational boundaries; Internal engineering teams; Other engineering teams", "projectManagementSkills" : [ "Roadmap planning", "Dependency management", "Predictable shipping", "Agile Methodologies" ], "domainKnowledge" : "Identity; Platform reliability; Workforce security; AI agents; Prompt injection; Shadow AI; Behavioral data; Social engineering; Event publish subscribe; Event-driven architecture; Bounded contexts; Message delivery; Email reputation; Chat API rate limits; Zero-trust principles; Secrets management; Credential rotation", "domainList" : [ "identity", "platform-reliability", "workforce-security", "ai-agents", "prompt-injection", "shadow-ai", "behavioral-data", "social-engineering", "event-publish-subscribe", "event-driven-architecture", "bounded-contexts", "message-delivery", "email-reputation", "chat-api-rate-limits", "zero-trust-principles", "secrets-management", "credential-rotation" ], "domainSpecificKnowledge" : [ "Identity", "Platform reliability", "Workforce security", "AI agents", "Prompt injection", "Shadow AI", "Behavioral data", "Social engineering", "Event publish subscribe", "Event-driven architecture", "Bounded contexts", "Message delivery", "Email reputation", "Chat API rate limits", "Zero-trust principles", "Secrets management", "Credential rotation" ], "toolProficiency" : [ "AWS", "GitLab CI/CD", "Terraform" ], "communicationSkills" : "Technical communication; Design docs; Architecture reviews", "documentationSkills" : "Design docs; RFCs", "continuousLearning" : "Tuition reimbursement; Certification reimbursement; Certification completion bonuses", "problemSolvingSkills" : "Solve problems", "specialRequirements" : "US only", "qualificationsBasic" : "3 years technical experience, 5 years of experience, including team leadership, 4 years of experience, including team leadership, Working fluency in typed, compiled language, AWS messaging and compute stack knowledge, Event-driven architecture knowledge, Messaging and delivery domain literacy, Prior individual contributor experience in messaging, eventing, or platform engineering, Go production experience, Rust exposure", "qualificationsPreferred" : "BS or equivalent plus 3 years technical experience, MS or equivalent plus 5 years of experience, including team leadership, Ph. D. or equivalent plus 4 years of experience, including team leadership", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. Remote positions open to the US only. Role Summary KnowBe4's Platform Services group builds the infrastructure that every product team depends on. As a Software Engineering Manager, you own the team that shapes that foundation. You'll lead at the intersection of identity, platform reliability, and building and growing the engineers who solve problems with direct impact on every engineer and every customer at KnowBe4. The messaging and events platform your team owns underpins bespoke email delivery, event publish and subscribe (pub/sub, the pattern where services broadcast events and other services subscribe to the ones they care about), and outbound notification delivery across Microsoft Teams, Slack, Google Chat, and other channels for the entire KnowBe4 product suite. Decisions made here ripple across every engineering team at KnowBe4 and the inboxes and channels of a global customer base. We need a manager who can think at that scale, communicate across organizational boundaries, and stay close enough to the technology to make sound calls without writing every line themselves. What Your Team Builds High-throughput email delivery (legacy & new) services in Golang & Rust deployed as AWS ECS Tasks & Lambda functions: low-latency send pipelines handling batching, deliverability, and bounce processing across multiple AWS regions Outbound channel integrations: connectors for Microsoft Teams, Slack, Google Chat, and webhook-based delivery, including the rate limiting, retry, and per-channel formatting logic each provider demands Event publish and subscribe infrastructure: DFS (Data Foundation Service) subscribers, backed by AWS Eventbridge, and the message routing layer that coordinates state changes across bounded contexts Delivery reliability and observability: idempotency, dead-letter queues, retry and backoff strategy, and end-to-end delivery tracking so teams can see whether a message actually landed Cross-team messaging SDKs: libraries in Rust, C#, and Python that let other engineering teams emit events and send notifications, where design quality and backward compatibility matter deeply IaC at scale: multi-account, multi-region Terraform provisioning and governing the messaging and events layer across development, staging, and production What You'll Own People leadership experience: you have managed engineers directly, run hiring loops, handled performance conversations, and grown people into larger roles Enough backend depth to lead credibly: working fluency in a typed, compiled language (Go, Rust, C#, or equivalent) and the judgment to evaluate designs, not necessarily to be the top coder on the team AWS messaging and compute stack: ECS, Lambda, EventBridge, SQS, SNS, DynamoDB, SSM, and IAM at a level where you can reason about the systems your team designs Event-driven architecture: pub/sub, fan-out, eventual consistency, idempotency, dead-letter handling, and delivery guarantees (at-least-once versus exactly-once and the tradeoffs between them) Messaging and delivery domain literacy: you understand what it takes to actually get a message delivered, whether that is email reputation and bounce handling or the rate limits and retry semantics of a third-party chat API Delivery management: roadmap planning, dependency management, and predictable shipping in a discovery-heavy platform context Technical communication: design docs, RFCs, and architecture reviews, plus the ability to synthesize complexity into clear proposals for both engineers and executives Lead a software team that develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies Recommend solutions to engineering problems Provide genuine recommendations as to the hiring, firing, promotion, and discipline of subordinate employees to which the Company gives significant weight Skills Requirements Prior individual contributor experience in messaging, eventing, or platform engineering before moving into management Go production experience: comfort with the concurrency model and the kind of high-throughput service work this team does day to day Rust exposure: enough familiarity with the async ecosystem (tokio, axum, reqwest, serde) to follow and guide technical discussion Email infrastructure: AWS SES or third-party ESPs (such as SendGrid or Postmark), plus SMTP and the deliverability standards SPF, DKIM, and DMARC Third-party messaging integrations: Slack API, Microsoft Graph and Teams, Google Chat API, and webhook delivery patterns AWS EventBridge and SNS or SQS at scale: event bus design, schema management, and routing across bounded contexts C# and .NET (8+) or Python: both show up in this layer for services and event-processing tooling Terraform at scale: multi-account, multi-region IaC and CI deploy patterns Observability tooling: structured logging, tracing, and delivery metrics for systems where \"did it actually arrive\" is the core question Experience managing a platform or infrastructure team whose customers are other internal engineering teams Preferred / Nice-to-Have Prior individual contributor experience in identity, auth, or platform engineering before moving into management Rust exposure: enough familiarity with the async ecosystem to follow and guide technical discussion C# and .NET (8+): Lambda AOT compilation, ASP.NET Core, Native AOT targeting linux-arm64 Auth0 and Keycloak: tenant and realm administration, SAML, OIDC, and OAuth app configuration Terraform at scale: multi-account, multi-region IaC and CI deploy patterns GitLab CI/CD: pipeline design and multi-environment deployment Security engineering concepts: threat modeling, zero-trust principles, secrets management, and credential rotation Experience managing a platform or infrastructure team whose customers are other internal engineering teams Education & Experience BS or equivalent plus 3 years technical experience MS or equivalent plus 5 years of experience, including team leadership Ph. D. or equivalent plus 4 years of experience, including team leadership The base pay for this position ranges from $150,000 - $174,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above. Application deadline: 9/15/2026. This is our good-faith estimate of the date the application window is anticipated to close. KnowBe4 reviews applications on a rolling basis and reserves the right to close the application window early if a qualified candidate for the position is identified. Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please.", "summaryDescription" : "Software Engineering Manager at KnowBe4. Skills: Platform engineering, Messaging systems, Event-driven architecture, AWS. Own the team that shapes the foundation. Lead at the intersection of identity, platform reliability", "postedDate" : "2026-06-16T01:15:49.134", "createdAt" : "2026-06-16T01:15:49.134", "lastUpdated" : "2026-06-16T10:35:28.591", "ingestTimestamp" : "2026-06-16T01:15:49.134", "mongoId" : "6a30763bf292fd229c017522", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Email delivery", "Event publish", "Subscribe pattern", "Outbound notification delivery", "Rate limiting", "Retry logic", "Message routing", "Delivery tracking", "Idempotency", "Dead-letter queues", "Backoff strategy", "Event emission", "Notification sending", "Backward compatibility", "Terraform provisioning", "Governing messaging", "Event layer", "Delivery guarantees", "Email reputation", "Bounce handling", "Leadership", "Platform engineering", "Messaging systems", "Event-driven architecture", "AWS", "People leadership", "Backend depth", "Roadmap planning", "Dependency management", "Predictable shipping", "Technical communication", "Design docs", "Architecture reviews", "Hiring", "Performance conversations", "System design", "IaC at scale", "Multi-region IaC", "CI deploy patterns", "Pipeline design", "Multi-environment deployment", "Security engineering concepts", "Threat modeling", "Zero-trust principles", "Secrets management", "Agile Methodologies", "Identity", "Platform reliability", "Workforce security", "AI agents", "Prompt injection", "Shadow AI", "Behavioral data", "Social engineering", "Event publish subscribe", "Bounded contexts", "Message delivery", "Chat API rate limits", "Credential rotation", "GitLab CI/CD", "Terraform" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306f2df292fd229cfe5d89", "title" : "Engineering Tech Lead", "company" : "Unframe", "industry" : "Technology", "salary" : { "min" : 450000.0, "max" : 700000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Engineering Tech Lead in Tel Aviv, Israel, adjusted for the technology industry and company size." }, "location" : "Tel Aviv-Yafo, Tel Aviv District, Israel", "locations" : [ "Tel Aviv-Yafo", "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T08:38:24.999", "fingerprint" : "a758d4f3ad671d6b8f1f4d0c74f552371f6d02e5dddbd0d8ac5ae5a8881e3041", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/unframe/jobs/4898028101", "externalId" : "4898028101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Node.js, TypeScript, Frontend frameworks, AI, LLM", "professionalSkills" : [ "System design", "Architecture decisions", "Technical leadership" ], "hardSkillsList" : [ "Scalability", "Reliability", "Performance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Performance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI, LLM, System design, Technical leadership", "majorSkillsList" : [ "AI", "LLM", "System design", "Technical leadership" ], "coreResponsibilities" : "Lead architecture, Lead technical direction, Design AI-powered solutions, Deliver AI-powered solutions, Partner cross-functionally, Stay hands-on with code, Stay hands-on with engineering teams, Drive technical decisions, Help customers solve challenges, Build technical trust, Design enterprise-grade solutions, Influence engineering standards, Influence architecture practices, Influence technical direction", "teamCollaboration" : "Cross-functional teams; Partnering with Platform; Partnering with Product; Partnering with Engineering", "domainKnowledge" : "AI; LLM; Distributed systems; Cloud-native architecture", "domainList" : [ "ai", "llm", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI", "LLM", "Distributed systems", "Cloud-native architecture" ], "communicationSkills" : "Lead technical conversations; Speak with customers", "problemSolvingSkills" : "Solve production challenges", "qualificationsBasic" : "7+ years software engineering experience, Hands-on Node.js, Hands-on TypeScript, Hands-on modern frontend frameworks, Deep experience designing scalable production systems, Deep experience designing distributed architectures, Architectural thinking, Builder mentality, Experience working with enterprise customers, Experience building AI/LLM-powered products, Experience building AI/LLM-powered platforms, High ownership mentality, Ability to operate independently", "qualificationsPreferred" : "Experience with large-scale deployments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Engineering Tech Lead About UnframeUnframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping Fortune 500 companies move from idea to production faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with some of the biggest enterprises in the world. About the Role We’re looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. We’re looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. You’ll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next you’ll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv. What You’ll Do Lead architecture and technical direction for strategic enterprise AI initiatives Work directly with some of the world’s largest enterprises to design and deliver scalable AI-powered solutions Partner cross-functionally with Platform, Product, and Engineering teams across the company Stay deeply hands-on with the code and engineering teams Drive complex technical decisions across scalability, reliability, performance, and system design Help customers solve real production challenges and build long-term technical trust Design versatile enterprise-grade solutions across different customer environments and use cases Influence engineering standards, architecture practices, and long-term technical direction Operate in a fast-moving, high-ownership environment where execution speed matters What We’re Looking For 7+ years of software engineering experience Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks Deep experience designing scalable production systems and distributed architectures Strong architectural thinking combined with a builder mentality Experience working with enterprise customers or large-scale deployments Experience building AI/LLM-powered products or platforms Excellent communication skills and ability to lead technical conversations with both engineers and executives High ownership mentality and ability to operate independently in ambiguous environments Someone equally comfortable writing code, designing systems, and speaking with customers Why Join Us? This is a rare opportunity to operate at the intersection of engineering, architecture, AI, product, and customer strategy inside a fast-growing AI company. You’ll work directly with founders, senior engineering leaders, and enterprise customers on high-impact initiatives that shape both the product and the company itself. If you’re looking for a role with real ownership, real technical influence, and the opportunity to build AI systems used in production by some of the world’s largest organizations, we’d love to meet you.", "summaryDescription" : "Engineering Tech Lead at Unframe. Skills: AI, LLM, System design, Technical leadership. Lead architecture. Lead technical direction", "postedDate" : "2026-06-16T01:16:07.636", "createdAt" : "2026-06-16T01:16:07.636", "lastUpdated" : "2026-06-16T08:38:24.999", "ingestTimestamp" : "2026-06-16T01:16:07.636", "mongoId" : "6a306f2df292fd229cfe5d89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Scalability", "Reliability", "Performance", "Leadership", "AI", "LLM", "System design", "Technical leadership", "Architecture decisions", "Distributed systems", "Cloud-native architecture" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305591f292fd229cf2033c", "title" : "AI Engineering Lead", "company" : "Planet", "salary" : { "min" : 70000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI Engineering Lead in Portugal, adjusted for Lead seniority and the Technology industry." }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T11:48:37.456", "fingerprint" : "82499f3d6841d48e7d9d10804097ca6b027f3851f205816a4c7612cad7a141e7", "source" : "workday", "language" : "en", "applyUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Porto---Portugal/C--Software-Engineer_JR11259", "externalId" : "JR11259", "industryFunction" : { }, "locationPoint" : "39.3999,-8.2245", "structuredLocations" : [ { "country" : "Portugal", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**About Planet** Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets. **Role Overview** We are looking for a Senior Engineering & AI Tech Lead to provide hands‑on technical leadership for our on‑premise hospitality products, while systematically infusing AI into both the product roadmap and the day‑to‑day ways of working of the engineering team. The successful candidate will be equally comfortable owning complex C# / C++ systems, modernising legacy platforms, and pragmatically applying AI (LLMs, ML, automation) where it creates real customer or operational value — not experimentation for experimentation’s sake. This is a hands‑on role: you will design, code, review, coach, and lead by example while steadily raising the technical and delivery bar of the team. **What you will do** ### ### Technical & Product Leadership * Act as the technical authority for the on‑prem product suite, spanning legacy and modern components * Drive architecture, design decisions, and technical standards across C# and C++ codebases * Own the technical execution of the product roadmap, ensuring delivery predictability, quality, and sustainability * Partner closely with Product leadership to translate business goals into executable technical plans * Identify and reduce systemic technical debt and operational risk ### ### AI Enablement & Adoption * Identify high‑leverage AI opportunities across the product: automation, supportability, configuration, data quality, compliance, and operational efficiency * Lead the pragmatic adoption of AI / LLM‑based capabilities in production environments * Define standards for AI quality, testing, observability, security, and responsible use * Introduce AI‑assisted ways of working for the engineering team (e.g. development productivity, testing, diagnostics, documentation) * Ensure AI is embedded into normal delivery workflows, not treated as a standalone initiative ### ### Delivery Ownership * Take end‑to‑end accountability for delivery outcomes, including prioritisation, execution, and risk management * Establish and track engineering KPIs (predictability, quality, operational health) * Ensure systems meet legal, fiscal, security, and regulatory requirements relevant to on‑prem hospitality software ### ### Team Leadership & Enablement * Serve as a engineering team lead for the team as assigned * Lead through influence, coaching, and example rather than hierarchy * Mentor engineers; raise technical judgment and ownership across the team for AI * Shape common engineering practices: code reviews, testing strategies, CI/CD, documentation, incident handling * Gradually evolve team maturity, structure, and accountability as needed ### ### Ways of Working & Operational Excellence * Drive continuous improvement in engineering practices, tooling, and workflows * Introduce clearer technical decision‑making, ownership boundaries, and escalation paths * Improve collaboration across Product, Support, Operations, and Compliance **Who you are** ### ### Technical background * Strong professional experience in C# and C++ within complex commercial software products * Deep understanding of software architecture, distributed systems, and long‑lived codebases * Proven hands‑on experience delivering AI/ML or LLM‑based features into production * Comfortable modernising legacy systems while maintaining reliability for existing customers ### ### Leadership & mindset * Experienced technical leader who can run a team without relying on title or hierarchy * Pragmatic, outcome‑oriented, and commercially aware * Strong coach and mentor; raises the bar for others through clarity and example * Confident making—and standing behind—technical decisions ### ### Delivery & communication * Track record of delivering complex software predictably and safely * Able to communicate clearly with engineers, product managers, and senior stakeholders * Fluent English **Why Planet:** Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. **We would love to hear from you – Apply now**. At Planet, we embrace a hybrid work model, with three days a week in the office. 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Life at a rapidly scaling tech startup isn’t for everyone. It’s complex, fast-paced, high-pressure, but also incredibly fulfilling. Since its founding in 2019, Neo has gained incredible traction and is one of the fastest-growing fintech companies in Canada. - #1 on Deloitte’s Technology Fast 50 for 2023, 2024, and 2025 https://www.newswire.ca/news-releases/neo-financial-achieves-first-ever-three-peat-win-as-number-one-on-deloitte-s-technology-fast-50-list-889692540.html — the first company ever to achieve a three-peat at the top! - #1 Fastest Growing Company in Canada for 2024 by Globe & Mail https://www.businesswire.com/news/home/20240927952651/en/Neo-Financial-Ranks-No.-1-on-The-Globe-and-Mail%E2%80%99s-2024-List-of-Canada%E2%80%99s-Top-Growing-Companies - Top-ranked mobile apps and credit cards - Team of 500+ people - 1M+ customers - 10K+ retail partners As our team continues to grow, we are always looking to connect with exceptional talent for future opportunities. While we may not have an immediate opening today, we proactively review applications to match great people with the right roles as they open up. If this role aligns with your career goals, we encourage you to submit your interest. We’ll keep your profile active and reach out the moment a matching opportunity arises. Director, Growth & Experience Systems Role Purpose Neo is transforming its customer operations from a cost center into a growth enabler. The Director, Growth & Experience Systems is the person who architects that transformation — redesigning the systems, processes, and tools that power how we serve customers so that every interaction deepens the relationship and drives LTV. This role works on the business, not in it. It combines first-principles operational thinking with a commercial growth lens — designing systems that simultaneously deliver high-quality customer experiences, drive efficiency at scale, and enable growth motions (cross-sell, retention, proactive engagement) where appropriate. Key Responsibilities • Systems Transformation: Redesign the systems that power customer operations — chatbot, knowledge base, help center, agent tools — to be conducive to support as a growth enabler, not merely a resolution function. • Growth Integration: Design and operationalize revenue/LTV-generating motions within customer interactions — retention saves, cross-sell prompts, engagement nudges, proactive outreach — while maintaining customer trust. • Process Design (First Principles): Analyze operational data, identify root causes, and redesign processes from first principles. Question whether a process should exist before optimizing it. • AI & Automation Strategy: Partner with technical teams to shape investment in AI-assisted operational infrastructure. Design for dual outcomes: customer satisfaction AND growth enablement in the same interaction. • Lifecycle Integration: Connect operations systems into the broader lifecycle architecture — ensuring that support interactions are informed by and contribute to the customer's lifecycle state. • Measurement & ROI: Define success metrics for the transformation. Measure LTV lift from operations interactions, efficiency gains from systems redesign, and quality outcomes. What We're Looking For • Experience transforming customer operations systems — chatbot strategy, knowledge architecture, self-serve design, AI-powered support • First-principles thinker — has eliminated processes, not just optimized them • Commercial instinct — understands how to embed growth motions into service interactions without compromising customer trust • Data fluency — can read operational data, identify patterns, build the business case for transformation • Systems design capability — can spec and direct technical builds (doesn't need to code, but needs to architect) • Change management experience — has transformed how existing teams work, not just built greenfield • Experience in fintech, banking, or subscription businesses where support directly impacts retention and revenue • Comfort with ambiguity — we're defining what \"operations as growth channel\" means; you'll help figure it out WORKING AT NEO: The people who thrive at Neo are resourceful, growth-oriented, and driven to win. We hold ourselves to high standards because we’re on a mission that matters: to build a more rewarding financial future for all Canadians. As individuals and as a team, we constantly challenge ourselves and each other to raise the bar and deliver exceptional experiences for our customers. Our commitment to customer success drives everything we do, from building world-class products to providing exceptional support at every step of their journey. If this resonates with you, keep reading. We trust, respect, and support each other. This means honest conversations, constructive input, and empowering each other to move fast and think big. You’ll be surrounded by people who push you to be your best. We primarily collaborate in person across our Calgary, Winnipeg, and Toronto offices, where ideas move quickly and teams build momentum together. As we continue to scale and evolve, we’re looking for builders, innovators, and problem solvers who thrive on challenge–people who would rather blaze a trail through uncertainty than follow a well-paved path. At Neo, ownership is part of how we think and operate. For select roles, equity participation reinforces that mindset by giving employees a direct stake in the company’s long-term success. Regardless of role, every team member is expected to think like an owner and make decisions that move the business forward. APPLY WITH US: We believe in equal opportunity and are committed to creating an inclusive climate where everyone can thrive. Customers trust us with their finances, so successful candidates for this position will be required to undergo a security screening, including a criminal records check and a credit check. By continuing with your application, you agree to the Candidate Privacy Notice https://www.neofinancial.com/candidate-privacy-policy.pdf, which guides how we process your personal information for the purpose of your application. Neo Financial leverages artificial intelligence (AI) to reinforce our candidate evaluation process, including the initial assessment of applications and screening of candidates. These tools support our recruitment team; however, all final hiring decisions are made by humans and are not based exclusively on automated processing. If you require further information regarding our data processing practices, please contact us. We are hiring for an open, vacant position.", "summaryDescription" : "Director, Growth & Experience Systems at Neo. Skills: Customer operations systems, Growth enablement, Process transformation. Redesign customer operations systems. Design revenue/LTV-generating motions", "createdAt" : "2026-06-14T19:31:15.440", "lastUpdated" : "2026-06-16T02:41:03.067", "ingestTimestamp" : "2026-06-14T19:31:15.440", "mongoId" : "6a2cb0ee74d8ee00a09db8db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Operational data analysis", "Business case building", "Revenue generation", "Customer retention", "Cross-selling", "Customer engagement", "Customer LTV analysis", "Customer operations systems", "Growth enablement", "Process transformation", "Systems design", "Process design", "Change management", "Customer lifecycle architecture", "Fintech operations", "Subscription businesses" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051c1f292fd229cf060fc", "title" : "Engineering Tech Lead", "company" : "Unframe", "industry" : "Technology", "salary" : { "min" : 450000.0, "max" : 650000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Engineering Tech Lead in Tel Aviv, Israel, adjusted for the technology industry and company size." }, "location" : "Tel Aviv-Yafo, Tel Aviv District, Israel", "locations" : [ "Tel Aviv-Yafo", "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T08:47:46.767", "fingerprint" : "77471f28012524857a1c14520d3acd425ddb4243323cf4f4b973c86a14f06293", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/unframe/jobs/4898028101", "externalId" : "4898028101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Node.js, TypeScript, Frontend frameworks, AI, LLM", "professionalSkills" : [ "System design", "Architecture decisions", "Technical leadership" ], "hardSkillsList" : [ "Scalability", "Reliability", "Performance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Performance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI, LLM, System design, Technical leadership", "majorSkillsList" : [ "AI", "LLM", "System design", "Technical leadership" ], "coreResponsibilities" : "Lead architecture, Lead technical direction, Design AI-powered solutions, Deliver AI-powered solutions, Partner cross-functionally, Stay hands-on with code, Stay hands-on with engineering teams, Drive technical decisions, Help customers solve challenges, Build technical trust, Design enterprise-grade solutions, Influence engineering standards, Influence architecture practices, Influence technical direction", "teamCollaboration" : "Cross-functional teams; Partnering with Platform; Partnering with Product; Partnering with Engineering", "domainKnowledge" : "AI; LLM; Distributed systems; Cloud-native architecture", "domainList" : [ "ai", "llm", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI", "LLM", "Distributed systems", "Cloud-native architecture" ], "communicationSkills" : "Lead technical conversations; Speak with customers", "problemSolvingSkills" : "Solve production challenges", "qualificationsBasic" : "7+ years software engineering experience, Hands-on Node.js, Hands-on TypeScript, Hands-on modern frontend frameworks, Deep experience designing scalable production systems, Deep experience designing distributed architectures, Architectural thinking, Builder mentality, Experience working with enterprise customers, Experience building AI/LLM-powered products, Experience building AI/LLM-powered platforms, High ownership mentality, Ability to operate independently", "qualificationsPreferred" : "Experience with large-scale deployments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Engineering Tech Lead About UnframeUnframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping Fortune 500 companies move from idea to production faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with some of the biggest enterprises in the world. About the Role We’re looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. We’re looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. You’ll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next you’ll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv. What You’ll Do Lead architecture and technical direction for strategic enterprise AI initiatives Work directly with some of the world’s largest enterprises to design and deliver scalable AI-powered solutions Partner cross-functionally with Platform, Product, and Engineering teams across the company Stay deeply hands-on with the code and engineering teams Drive complex technical decisions across scalability, reliability, performance, and system design Help customers solve real production challenges and build long-term technical trust Design versatile enterprise-grade solutions across different customer environments and use cases Influence engineering standards, architecture practices, and long-term technical direction Operate in a fast-moving, high-ownership environment where execution speed matters What We’re Looking For 7+ years of software engineering experience Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks Deep experience designing scalable production systems and distributed architectures Strong architectural thinking combined with a builder mentality Experience working with enterprise customers or large-scale deployments Experience building AI/LLM-powered products or platforms Excellent communication skills and ability to lead technical conversations with both engineers and executives High ownership mentality and ability to operate independently in ambiguous environments Someone equally comfortable writing code, designing systems, and speaking with customers Why Join Us? This is a rare opportunity to operate at the intersection of engineering, architecture, AI, product, and customer strategy inside a fast-growing AI company. You’ll work directly with founders, senior engineering leaders, and enterprise customers on high-impact initiatives that shape both the product and the company itself. If you’re looking for a role with real ownership, real technical influence, and the opportunity to build AI systems used in production by some of the world’s largest organizations, we’d love to meet you.", "summaryDescription" : "Engineering Tech Lead at Unframe. Skills: AI, LLM, System design, Technical leadership. Lead architecture. Lead technical direction", "postedDate" : "2026-06-15T23:17:33.794", "createdAt" : "2026-06-15T23:17:33.794", "lastUpdated" : "2026-06-16T08:47:46.767", "ingestTimestamp" : "2026-06-15T23:17:33.794", "mongoId" : "6a3051c1f292fd229cf060fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Scalability", "Reliability", "Performance", "Leadership", "AI", "LLM", "System design", "Technical leadership", "Architecture decisions", "Distributed systems", "Cloud-native architecture" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3c174d8ee00a09ada04", "title" : "Lead, Candidate Experience", "company" : "MongoDB", "industry" : "Technology", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Candidate Experience role in Gurugram, India, adjusted for the technology industry and company size." }, "location" : "Gurugram, Haryana, India", "locations" : [ "Gurugram", "Haryana", "India" ], "timestamp" : "2026-06-16T02:20:59.993", "fingerprint" : "67b05352844edea203984163c4a8e0e6cfde37a934e1c4c20815e00493efb564", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.mongodb.com/careers/job/?gh_jid=8000124", "externalId" : "8000124", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "experienceMinYears" : 1, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "People leadership", "Operational excellence", "Resource management", "Process optimization", "Continuous improvement", "Stakeholder management", "Project management", "Data-driven insights" ], "hardSkillsList" : [ "Hiring process optimization" ], "softSkillsList" : [ "Leadership", "Judgment" ], "hardSkills" : [ { "name" : "Hiring process optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" } ], "majorSkills" : "Candidate experience, Team leadership, Hiring operations", "majorSkillsList" : [ "Candidate experience", "Team leadership", "Hiring operations" ], "coreResponsibilities" : "Lead, develop, and inspire a team, Own Candidate Experience operations, Ensure seamless, scalable, consistent hiring process, Drive operational excellence, Optimize processes, Manage resources, Improve efficiency, Partner with Recruiting leaders, Partner with Hiring Managers, Support hiring goals, Deliver exceptional outcomes, Champion world-class candidate experience, Improve communication, Improve efficiency, Improve overall engagement, Lead regional projects, Lead global projects, Enhance recruiting operations, Leverage data-driven insights, Drive consistency, Drive scalability, Drive impact", "teamCollaboration" : "Partner with recruiting leaders; Partner with Hiring Managers; Collaborate with stakeholders; Collaborate with global stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Candidate Experience; Hiring processes; Recruiting operations", "domainList" : [ "candidate-experience", "hiring-processes", "recruiting-operations" ], "domainSpecificKnowledge" : [ "Candidate Experience", "Hiring processes", "Recruiting operations" ], "toolProficiency" : [ "Greenhouse", "Zendesk", "Google Workspace" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Improve efficiency; Deliver exceptional outcomes; Improve communication; Improve efficiency; Improve overall engagement; Drive consistency; Drive scalability; Drive impact", "qualificationsBasic" : "1+ years people leadership experience, Experience developing and leading high-performing teams, Experience improving processes, Experience managing competing priorities, Experience driving scalable solutions, Exceptional organizational skills, Exceptional communication skills, Exceptional stakeholder management skills, Ability to build trusted partnerships, Sound judgment, Ability to navigate ambiguity, High level of service, High attention to detail", "qualificationsPreferred" : "Experience with Greenhouse, Experience with Zendesk, Experience with Google Workspace", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At MongoDB, we're transforming industries and empowering developers to build the next generation of applications. As we continue to grow across APAC, we're seeking a Lead, Candidate Experience to lead and develop a high-performing team, drive operational excellence, and help scale world-class hiring experiences across the region. This role is ideal for a people leader who thrives in fast-paced environments and enjoys solving complex challenges. You'll partner closely with recruiting and business leaders to optimize processes, improve efficiency, and ensure a seamless experience for candidates, interviewers, and hiring teams alike. While focused on supporting hiring across APAC, you'll collaborate with stakeholders around the world, balancing regional needs with global priorities and contributing to the evolution of our Candidate Experience function. This is an opportunity to influence how MongoDB scales across one of its fastest-growing regions while building the team, processes, and partnerships that support our continued growth. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Lead, develop, and inspire a high-performing team of Candidate Experience Coordinators supporting hiring across APAC Own Candidate Experience operations across the region, ensuring a seamless, scalable, and consistent hiring process for candidates, recruiters, and hiring teams Drive operational excellence through resource management, process optimization, and continuous improvement initiatives Partner with Recruiting leaders, Hiring Managers, and cross-functional stakeholders to support hiring goals and deliver exceptional outcomes Champion a world-class candidate experience by identifying opportunities to improve communication, efficiency, and overall engagement throughout the hiring journey Lead regional and global projects that enhance recruiting operations, leverage data-driven insights, and drive consistency, scalability, and impact across the function Requirements You have 1+ years of people leadership experience, with a track record of developing and leading high-performing teams Proven ability to lead, develop, and motivate high-performing teams in a fast-paced, high-growth environment Strong operational mindset with experience improving processes, managing competing priorities, and driving scalable solutions Exceptional organizational, communication, and stakeholder management skills, with the ability to build trusted partnerships across all levels of the organization Resourceful and proactive, with sound judgment and the ability to navigate ambiguity while maintaining a high level of service and attention to detail Experience with recruiting technologies and collaboration tools, including Greenhouse, Zendesk, Google Workspace, or similar platforms Passion for delivering exceptional experiences, supporting business growth, and contributing to MongoDB's mission and culture About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID 2273469045", "summaryDescription" : "Lead, Candidate Experience at MongoDB. Skills: Candidate experience, Team leadership, Hiring operations. Lead, develop, and inspire a team. Own Candidate Experience operations", "postedDate" : "2026-06-14T20:10:17.412", "createdAt" : "2026-06-14T20:10:17.412", "lastUpdated" : "2026-06-16T02:20:59.993", "ingestTimestamp" : "2026-06-14T20:10:17.412", "mongoId" : "6a2ca3c174d8ee00a09ada04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Hiring process optimization", "Leadership", "Judgment", "Candidate experience", "Team leadership", "Hiring operations", "People leadership", "Operational excellence", "Resource management", "Process optimization", "Continuous improvement", "Stakeholder management", "Project management", "Data-driven insights", "Candidate Experience", "Hiring processes", "Recruiting operations", "Greenhouse", "Zendesk", "Google Workspace" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c68b374d8ee00a0904584", "title" : "Engineering Lead", "company" : "Flock", "industry" : "Technology", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Engineering Lead in London, UK, adjusted for seniority, company size, and industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T05:32:47.180", "fingerprint" : "40029abed8ed3d1329266c49b13ed7d85eac46d4b20bf864357da188f279f4fb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/flock/85d16a48-57e3-4b47-9d2b-9ae50bdbd790/application", "externalId" : "85d16a48-57e3-4b47-9d2b-9ae50bdbd790", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "TypeScript, AWS, Lambda, API Gateway, SQS, EventBridge, DynamoDB, S3, CloudWatch, Terraform, CDK", "professionalSkills" : [ "System design", "Technical leadership", "Delivery ownership", "Developer experience", "Release practices", "Infrastructure provisioning" ], "hardSkillsList" : [ "API development", "Serverless development", "Cloud infrastructure management", "Infrastructure as code" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "API development", "level" : "intermediate" }, { "name" : "Serverless development", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Engineering leadership, Cloud infrastructure, API development", "majorSkillsList" : [ "Engineering leadership", "Cloud infrastructure", "API development" ], "coreResponsibilities" : "Own delivery for Acquisition team, Write high-quality TypeScript, Own end-to-end delivery, Partner with product, Translate business goals, Coach engineers, Mentor engineers, Raise standards, Share technical direction, Drive improvements, Make pragmatic trade-offs, Integrate with RESTful APIs, Contribute to API development, Support Acquisition team services, Extend Acquisition team pipelines, Provision cloud resources, Manage cloud resources, Co-own team success, Lead projects, Challenge engineer thinking, Help land solutions, Deliver high-quality code, Act as force-multiplier, Raise standards via code reviews, Shape technical direction, Bring clarity to problems, Define impactful deliverables", "teamCollaboration" : "Work with PM; Work with ELT; Work with stakeholders; Co-lead with PM; Cross-functional teams", "projectManagementSkills" : [ "Delivery plans", "Scoping", "Planning" ], "domainKnowledge" : "Connected vehicle insurance; Risk assessment; Serverless architecture; Event-driven systems; Distributed systems", "domainList" : [ "connected-vehicle-insurance", "risk-assessment", "serverless-architecture", "event-driven-systems", "distributed-systems" ], "domainSpecificKnowledge" : [ "Connected vehicle insurance", "Risk assessment", "Serverless architecture", "Event-driven systems", "Distributed systems" ], "toolProficiency" : [ "API Gateway", "Terraform", "CDK" ], "communicationSkills" : "Represent team upwards; Translate business goals", "continuousLearning" : "Professional qualifications; Learning and development; Paid leave for L&D", "problemSolvingSkills" : "Pragmatic trade-offs", "outcomesObjectives" : "Ship features impacting fleet choice; Raise standards for engineers; Make team faster and confident", "qualificationsBasic" : "Co-lead team with PM, Hands-on engineering, Ship high-quality TypeScript, AWS experience, Pragmatic technical decisions, Raise engineering standards, Improve developer experience", "qualificationsPreferred" : "Align technical direction broadly, Terraform or CDK experience, Improve operational resilience, Design event-driven systems, Experience in fast-moving environment, Create conditions for engineers to step up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "A BIT ABOUT FLOCK At Flock we do insurance very differently. We're nearing 1 billion connected, insured miles. Meaning our real-time, data-driven approach enables us to price connected vehicle insurance and assess risk better than ever before, giving fleet owners the insights they need to improve safety. We don’t just pay claims; we help our customers prevent them. We now insure hundreds of fleets in the UK, including the likes of Amazon, DPD, Uber and Bolt. We've now raised over £50M and our goal is to become the leading insurance company for connected and autonomous vehicles, and we're building a world-class team to help us get there. THE ROLE Engineering Lead for the Acquisition team. You'll work closely with the PM to lead the team toward its goals, owning delivery, operational reliability and developer experience. You’ll ship production code and provide technical coaching and leadership to the engineers around you, not line management. WHAT WE THINK IS MOST EXCITING ABOUT THE ROLE: Lead a team building products that directly drive Flock's growth - Own delivery and technical quality for the Acquisition team, working hand in hand with the PM to ship features that directly impact how fleets find and choose Flock. - Write high-quality, well-tested TypeScript and own end-to-end delivery to production Partner with product to drive impact - Work closely with the PM, the Engineering Leadership Team and stakeholders to translate business goals into clear technical scope, success metrics and delivery plans. Grow engineers around you - Lead by example through code, design discussions and pairing. - Coach and mentor engineers across the team to raise standards and share ownership of technical direction. Shape how the team works, not just what it builds - Drive improvements to developer experience, CI/CD, observability and release practices that make the whole team faster and more confident. - Make pragmatic trade-offs that balance reliability, performance and cost across AWS services. Curious how we build the future of fleet insurance? Dive into our Product & Engineering Blog, https://engineering.flockcover.com/ packed with technical deep-dives, behind-the-scenes stories, and real insights from the team you'd be joining. A LITTLE MORE ON WHAT YOU’LL BE DOING: - As an Engineering Lead at Flock you'll own delivery and technical direction for the Acquisition team, co-leading with the PM to ship products that directly drive growth, while raising the bar for the engineers around you. API-Driven Development - Integrate with and contribute to the development of RESTful APIs exposed via API Gateway. Serverless & Cloud Infrastructure - Use your AWS experience (Lambda, API Gateway, SQS, EventBridge, DynamoDB, S3, CloudWatch) to support and extend the Acquisition team's services and pipelines. - Work with infrastructure-as-code tools like Terraform or CDK for provisioning and managing cloud resources. Collaboration & Agile Delivery - Co-own the team's success with the PM, jointly leading projects from scoping and planning through to delivery and measuring impact. - Give engineers the space and ownership to lead projects themselves, asking the right questions to challenge their thinking and help them land on the right solution. Code Quality & Technical Standards - Deliver high-quality, well-tested code and act as a force-multiplier, raising standards through code reviews, pairing and design discussions. - Champion practical testing, type-safe APIs and pragmatic patterns that shape long-term technical direction across the team. Working closely with your PM, you'll bring clarity to complex problems and help define sharply scoped, impactful deliverables. Your success won't be measured by your own output alone, but by the output, quality and growth of the whole team around you. WHAT YOU’ll BRING TO FLOCK: - ESSENTIAL - Proven ability to co-lead a team alongside a PM, taking joint ownership of delivery, quality and outcomes, not just your own output. - Strong hands-on engineering ability; comfortable shipping high-quality, well-tested TypeScript in production and holding the team to the same standard. - Significant experience with AWS and modern serverless (Lambda, API Gateway, SQS, EventBridge, DynamoDB, S3, CloudWatch) or other cloud platforms. - A pragmatic approach to technical decisions, balancing reliability, observability, performance and cost, and bringing engineers along on the reasoning. - Track record of raising engineering standards as a force-multiplier, through code reviews, pairing, design discussions and shaping long-term technical direction. - Strong communication skills; able to represent the team upwards and translate business goals into clear technical scope and delivery plans. - Experience improving developer experience, CI/CD, release practices and delivery cadence across a team. PREFERABLE - Experience aligning technical direction beyond your immediate team, working with senior stakeholders and other leads to shape how engineering works at a broader level. - Familiarity with infrastructure-as-code tools like Terraform or CDK, with a track record of improving operational resilience through observability, runbooks and automated recovery. - Practical experience designing event-driven, distributed systems and navigating the trade-offs that come with eventual consistency at scale. - Background in a fast-moving, product-led environment where commercial impact drives decisions and adapting quickly is part of the job. - A track record of creating the conditions for engineers to step up, not just mentoring but actively giving ownership and space to grow. WHAT WE OFFER (in addition to a competitive salary) • 25 days of holiday (+ Bank Holidays) \uD83C\uDFD6 • Workplace Pension \uD83D\uDCB0 • Private Medical Insurance \uD83C\uDFE9 (including Optical \uD83D\uDC53 & Mental Health \uD83D\uDC86‍♀️ support options) • Various Salary Sacrifice Schemes - Workplace Nursery, Holiday Purchase, Tech, Gym, Cycle to Work, Electric Vehicle, Private Medical Insurance for families \uD83D\uDCB5 • Enhanced Parental Leave and Pay \uD83D\uDC23 • £1000 toward relevant professional qualifications \uD83C\uDF93 • £500 per annum towards learning and development \uD83C\uDF31 • 3 days paid leave for L&D purposes \uD83C\uDF3B At Flock, we typically follow a hybrid working model involving a minimum of 3 days per week spent in the office, which is based in Central London, a few minutes walk from Moorgate and Liverpool Street. ONE LAST THING.. Authenticity is important to us. We value the unique qualities and experiences you bring. So if you apply, just be your genuine self. It's who we want!", "summaryDescription" : "Engineering Lead at Flock. Skills: Engineering leadership, Cloud infrastructure, API development. Own delivery for Acquisition team. 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We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: This program of work is central to WPPs’ continued success, helping augment their world class AI with a back-office workflow platform. The value add is to enable agencies to manage their work end to end within our innovate platform. This is a greenfield program of work to replace their existing workflow system with bespoke .Net development using a microservice architecture in Azure and Kubernetes. What you'll be doing: This role will report into the Head of Engineering. Write a clean well thought out design and code with an emphasis on quality, simplicity and maintainability. Consider customer’s perspective and experiences when designing systems. Contribute to design reviews, code reviews and test case reviews. Understand and adapt to new technologies, tools, methods, and processes from Microsoft and the industry. Technology evaluation and recommendation for application architectural problems. Influence the team for right design and technology implementation we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.", "summaryDescription" : ". 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We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work on the infrastructure that powers data ingestion, processing and distribution across the firm. Data is central to QRT’s research and trading activities, and the scale and complexity of our platform continues to grow. The role involves solving distributed systems challenges across real time messaging, large scale data processing, distributed storage and high performance backend services. Your future role within QRT Design and deliver production infrastructure that supports large scale data ingestion, processing and distribution Contribute to the architecture and evolution of core data platform components Lead technical design discussions and influence engineering decisions across the platform Maintain high engineering standards through code reviews, design reviews and technical guidance Mentor engineers and contribute to a collaborative engineering culture Work with stakeholders and engineering teams to translate business and technical requirements into scalable infrastructure solutions Develop systems that support real time messaging, distributed storage, data processing and large scale analytics workloads Your present skillset 7 or more years of professional software engineering experience in distributed systems or high performance backend engineering Experience designing, building and operating large scale production systems Strong proficiency in Rust, C++, Java or another server side programming language Experience developing high performance services, including multithreading, asynchronous processing, caching and performance optimisation Understanding of large scale data platforms and the trade offs involved in distributed databases, data lakes, messaging systems and related technologies Strong communication skills and the ability to work effectively across teams and disciplines Experience mentoring engineers and contributing to technical leadership is beneficial QRT is an equal opportunity employer. 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SmartRecruiters' platform serves as the hiring operating system for 4,000 customers, including Bosch, LinkedIn, and Visa. Companies with business-critical hiring needs turn to SmartRecruiters for best-of-breed functionality, world-class support, and a robust ecosystem of third-party applications and service providers. We are a values-driven, globally focused tech employer with strong financial backing. By solving the biggest problems, we focus our efforts on what matters most, driving real impact for our organization and customers. For the past three years, we’ve been recognized as a strategic leader in recruitment technology by Fosway Industry Analysts. In 2023 and 2024, we received prestigious awards from Comparably for being a top company for Women, Perks, and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, Culture, and Company Outlook. At our core, we commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together - because together, we will win. With competitive salaries and strong internal mobility, we ensure that high performers have meaningful growth opportunities. Our remote-friendly culture is welcoming, respectful, and built to empower every team member to thrive. Our engineering organization is built with small, cross-functional teams where Engineers, Product Managers, and Product Designers work side by side to solve customer problems. Each team owns a part of our business and takes care of it, from feature ideas to usage analysis. We are looking for an experienced engineer who would like to grow as a people leader. Engineering Team Leads at SmartRecruiters spend around 50% of their time managing people and collaborating with stakeholders and 50% of their time designing and building products. Team Leads represent their teams externally, help others grow, and ensure the team's discovery and delivery work runs smoothly. What will you do: * Collaborate with Product Managers and Product Designers on building the next-generation product * Oversee roadmap discovery and delivery * Take ownership of the designated services * Drive engineering excellence inside the team * Mentor and coach other engineers * Contribute to a full life-cycle of the product (including problem discovery, prototyping, design, implementation, and measuring adoption) * Develop and maintain scalable, robust services using Java ## Qualifications * While not strictly required, we see most of our Team Leaders have 7+ years of professional experience * Experience in designing, developing, and operating distributed web-based systems * Experience in supporting end-to-end product lifecycle (from product discovery, solutioning, system design, implementation, production rollout, and optimization) * Passion for supporting team members in their career growth * Excellent technical project management and communication skills * Good understanding of agile processes and techniques * Good command of Java, Spring similar programming language (Kotlin…) * Experience with AWS, Docker, Kubernetes, NoSQL, Databases and PostgreSQL * Strong domain modeling skills - including refactoring existing domains * Strong command of the English language, both written and verbal ## Additional Information SmartRecruiters is proud to be an Equal Employment Opportunity employer. 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The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking an energetic leader to oversee the developer experience across our API Platform. In this role, you'll manage our developer relations end-to-end and own the arc of how developers discover, adopt, and succeed with Perplexity's APIs. You'll combine strong technical expertise with a high bar for craft and a passion for community building. You will personally serve as the face of Perplexity to developers, who will come to trust you as a champion for their needs and priorities. The initiatives you lead will bolster Perplexity as the platform of choice for developers seeking to build performant, efficient, and accurate AI systems. WHAT YOU'LL DO - Oversee the developer experience portfolio across Perplexity API Platform. - Craft and curate our developer-facing presence across docs, SDKs, CLIs, MCPs, and Agent Skills, with meticulous taste and attention to detail. - Build and nurture a thriving developer community that evangelizes Perplexity's API offerings and broadens conceptions of what's possible. - Represent the voice of the developer by maintaining a panoptic understanding of customer priorities, success patterns, and friction points. - Lead public engagement across developer events, social media, forums, and other high-signal channels. - Foster an ecosystem of community resources and examples that set the standard for how each API offering can be most effectively used. - Define metrics for developer health and satisfaction, and drive continuous improvement across our API Platform. - Run workshops, hackathons, and other participatory programs to convert curiosity into tinkering, tinkering into deployment, and deployment into customer wins. - Partner with fellow technical staff, GTM, support, and other cross-functional collaborators to ensure developers succeed across every industry and deployment scale. WHAT WE'RE LOOKING FOR - Substantial experience working on or adjacent to developer-facing products in a technical capacity, preferably with a track record of growing adoption. - Strong empathy for developers across experience levels and technology stacks (past developer relations experience is highly relevant). - Detailed and accurate mental model of the developer ecosystem: in particular, how developers learn about, evaluate, and select API products. - Well-calibrated taste for API ergonomics; experience prototyping and developing API-based products end-to-end. - Sound understanding of the modern AI technical stack, major players/technologies at each layer, and differentiation opportunities. - Strong written and oral communication skills, with particular savviness in developer-facing mediums (technical articles, documentation, conference talks, social media, etc.). - Ability to balance aggressive use of frontier AI agents with the need for personality and taste. - High intrinsically-enforced standards for the craft and quality of your work; an eagle eye for imperfection and rough edges (you complain before our customers do). - Eagerness and comfort to wear many hats in service of a world-class developer experience.", "summaryDescription" : "Member of Technical Staff (Engineering Lead, Developer Experience) at Perplexity. Skills: Developer experience, API Platform, Community management. Oversee developer experience portfolio. 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Use bullet points prompt above as needed for formatting rather than pasting bullets in from other document. There should be no additional blank lines above or below this paragraph, though you are welcome to have more than one paragraph. About You Copy & Paste \"about you\" or qualifications here (plain, not underlined/bolded/italicized). Use bullet points prompt above as needed for formatting rather than pasting bullets in from other document. There should be no additional blank lines above or below this paragraph, though you are welcome to have more than one paragraph.", "summaryDescription" : "Software Engineering at Hidden Events", "postedDate" : "2026-06-14T19:20:01.261", "createdAt" : "2026-06-14T19:20:01.261", "lastUpdated" : "2026-06-16T02:30:37.019", "ingestTimestamp" : "2026-06-14T19:20:01.261", "mongoId" : "6a2c7d7c74d8ee00a094fe55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69dde4492beec4dd3d9a335e", "title" : "Engineering Assistant or II", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 51158.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Brownwood-Brownwood District Headquarter", "locations" : [ "UST-Texas-Brownwood-Brownwood District Headquarter", "Yearly", "Nonexempt,
Brownwood District Headquarter (23DISTHQ)
2495 HWY 183 N
Brownwood, 76802

, Brownwood District Headquarter" ], "certifications" : [ "Engineering licensure" ], "timestamp" : "2026-06-16T01:55:49.835", "fingerprint" : "048a75b4358570aba6e9649f57f2c20ec120c1ce4c4baec5b6eba87e1caff88b", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43015", "externalId" : "43015", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brownwood", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7208509,-98.9818701" } ], "locationText" : "Brownwood, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Infrastructure development" ], "majorSkills" : "Engineering design, Construction inspection", "majorSkillsList" : [ "Engineering design", "Construction inspection" ], "coreResponsibilities" : "Rotate through hands-on experiences, Work, licensed professionals, Build skills, Expand knowledge, Support journey toward licensure", "teamCollaboration" : "Licensed professionals", "domainKnowledge" : "Infrastructure", "domainList" : [ "infrastructure" ], "domainSpecificKnowledge" : [ "Infrastructure" ], "continuousLearning" : "Mentorship", "specialRequirements" : "Complete simulation", "outcomesObjectives" : "Achieve engineering licensure", "qualificationsBasic" : "Engineering licensure support", "qualificationsPreferred" : "Engineering Assistant II level", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to launch your engineering career with purpose and momentum? As an Engineering Assistant I or II, you'll rotate through hands-on experiences in design, construction, inspection, and more all while working alongside licensed professionals who are invested in your growth. This roles is designed to build your skills, expand your knowledge, and support your journey toward engineering licensure. If you're passionate about infrastructure, innovation, and making a tangible impact in your community, we'd love to see what you bring to the table! Apply today and take that next step toward building a career that shapes the futures. Important: As part of the selection process, candidates will be required to complete a simulation designed to evaluate practical application of concepts relevant to the role. Salary/ Plan Grade: Engineering Assistant I: B20 $51,158 - $60,000/ yearly Engineering Assistant II: B21: $54,278 - $70,000/ yearly The Texas Department of Transportation reserves the sole right in determining the level of position based on the applicant’s work experience, education, skill level and all other appropriate factors, and based on business needs . 51,158.00 70,000.00", "summaryDescription" : "Engineering Assistant or II at Texas Department of Transportation. Skills: Engineering design, Construction inspection. Rotate through hands-on experiences. Work", "createdAt" : "2026-06-14T19:48:36.893", "lastUpdated" : "2026-06-16T01:55:49.835", "ingestTimestamp" : "2026-06-14T19:48:36.893", "mongoId" : "69dde4492beec4dd3d9a335e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 51158, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Engineering design", "Construction inspection", "Infrastructure development", "Infrastructure", "Engineering licensure" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e274d8ee00a09b877a", "title" : "Lead Software Engineer, Agentic AI Systems", "company" : "Collective Health", "industry" : "Healthcare", "salary" : { "min" : 138000.0, "max" : 172500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Lehi, Utah, United States", "locations" : [ "Lehi", "Utah", "United States", "Plano", "Texas", "United States" ], "timestamp" : "2026-06-15T11:34:43.426", "fingerprint" : "509060980f4b73dbbd79693bb2fc9e57308de6aa1a0a370e48d90e6d35ff7409", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.collectivehealth.com/apply/?gh_jid=8003334", "externalId" : "8003334", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3881114,-111.8486019" }, { "city" : "Plano", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.0136764,-96.6925096" } ], "locationText" : "Lehi, Utah, United States; Plano, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Gemini, Vertex AI, Google Agent SDK, LangChain, LangGraph, PydanticAI, Reasoning Engine, Extensions, Function Calling, SQL, PostgreSQL, AlloyDB, BigQuery, Java, Spring Cloud, Spring Boot, Spark, GKE, Cloud Run, Docker", "professionalSkills" : [ "System design", "Stateful Orchestration", "Input/Output Guardrails", "Circuit Breaker logic" ], "hardSkillsList" : [ "Supervised Fine-Tuning", "RAG implementation", "Grounding strategies", "Few-shot prompting", "Chain-of-Thought reasoning", "PHI data handling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Supervised Fine-Tuning", "level" : "intermediate" }, { "name" : "RAG implementation", "level" : "intermediate" }, { "name" : "Grounding strategies", "level" : "intermediate" }, { "name" : "Few-shot prompting", "level" : "intermediate" }, { "name" : "Chain-of-Thought reasoning", "level" : "intermediate" }, { "name" : "PHI data handling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, LLM Behaviors, Python Development, Google Cloud Platform", "majorSkillsList" : [ "Agentic AI", "LLM Behaviors", "Python Development", "Google Cloud Platform" ], "coreResponsibilities" : "Execute Agentic Workflows, Build AI agents, Deploy AI agents, Develop agent behaviors, Optimize agent behaviors, Implement RAG strategies, Implement grounding strategies, Design system instructions, Implement few-shot prompting, Implement Chain-of-Thought reasoning, Perform Supervised Fine-Tuning, Improve domain-specific performance, Understand architectural decisions, Drive reusable patterns, Design Stateful Orchestration patterns, Implement human review breakpoints, Implement Input/Output Guardrails, Implement 'Circuit Breaker' logic, Detect non-compliant agent behavior, Intercept toxic outputs, Intercept hallucinated outputs, Implement Google Cloud DLP, Ensure PHI is not exposed", "teamCollaboration" : "Cross-functional teams; Agentic AI strategy", "projectManagementSkills" : [ "AI-First SDLC" ], "domainKnowledge" : "Claims adjudication; Medical coding; Healthcare interoperability; Claims data structures; Healthcare data; Patient Health Information", "domainList" : [ "claims-adjudication", "medical-coding", "healthcare-interoperability", "claims-data-structures", "healthcare-data", "patient-health-information" ], "domainSpecificKnowledge" : [ "Claims adjudication", "Medical coding", "Healthcare interoperability", "Claims data structures", "Healthcare data", "Patient Health Information" ], "toolProficiency" : [ "Gemini", "Vertex AI", "Google Agent SDK", "LangChain", "LangGraph", "PydanticAI", "Cursor", "WindSurf", "GitHub Copilot", "Google Cloud DLP", "GKE", "Cloud Run", "Docker" ], "innovationCreativity" : "AI-First SDLC", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "In office 2 days/week", "outcomesObjectives" : "Automate complex claims workflows; Provide factual, data-driven responses; Handle claims logic with high precision; Improve domain-specific performance; Ensure agents pause, persist state, resume workflows; Intercept non-compliant agent behavior; Intercept toxic/hallucinated outputs; Ensure PHI is never exposed", "qualificationsBasic" : "Expert Python Developer, 8+ years Full-Stack experience, Hands-on Gemini experience, Hands-on Vertex AI experience, Hands-on Agent SDK experience, Experience with LangChain, Experience with LangGraph, Experience with PydanticAI, Experience with Vertex AI Python SDK, Experience with Reasoning Engine, Experience with Vertex AI Extensions, Experience with Vertex AI Function Calling, Experience with prompt engineering, Experience with AI-enhanced development tools", "qualificationsPreferred" : "Familiarity with healthcare interoperability, Familiarity with claims data structures, Practical LLM fine-tuning experience, Working knowledge of Java, Working knowledge of Spring Cloud", "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems. The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini. What you will do: Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications. Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents. Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems. Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval. Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases. Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs. To be successful in this role, you'll need: Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI. Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK). Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling. Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments. 8+ years of Full-Stack experience with a heavy focus on backend systems. AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity. Preferred Qualifications Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures. Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats. Java Proficiency: working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures. Our Tech Stack AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain. Existing Backend: Java, Spring Cloud, Spring Boot. Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker. Pay Transparency Statement This is a hybrid position based out of our Lehi or Plano offices, with the expectation of being in office at least two weekdays per week. #LI-hybrid #LI-NM1 The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. Lehi, UT Pay Range $138,000—$172,500 USD Plano, TX Pay Range $151,800—$189,750 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Lead Software Engineer, Agentic AI Systems at Collective Health. Skills: Agentic AI, LLM Behaviors, Python Development, Google Cloud Platform. Execute Agentic Workflows. 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"Cursor", "WindSurf", "GitHub Copilot", "Google Cloud DLP", "GKE", "Cloud Run", "Docker" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a69f292fd229c03ba56", "title" : "Camera Systems Software Engineer", "company" : "Skild AI", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Senior Camera Systems Software Engineer in Bengaluru, India, with adjustments for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T10:58:27.514", "fingerprint" : "b87a660377a03ee029bdbefa0c6dafde248bc1cfb37e137b9659ab0c5501038f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/skildai-careers/jobs/5263541008", "externalId" : "5263541008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Linux, C/C++, MIPI CSI-2, GMSL, FPD-Link, I2C, V4L2, RAW, YUV, RGB", "professionalSkills" : [ "Systems design", "API design", "Hardware integration", "Software integration", "Low-latency design", "Real-time systems", "Driver development", "Debugging", "Calibration", "Validation" ], "hardSkillsList" : [ "Embedded systems", "Camera drivers", "Device trees", "Timestamp handling", "Metadata handling", "Camera control", "Buffering", "Memory management", "Scheduling", "Throughput analysis", "Timing jitter", "Dropped-frame analysis", "Image quality", "Power sequencing", "Reset sequencing", "Sensor mode tables", "ISP behavior" ], "hardSkills" : [ { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Camera drivers", "level" : "intermediate" }, { "name" : "Device trees", "level" : "intermediate" }, { "name" : "Timestamp handling", "level" : "intermediate" }, { "name" : "Metadata handling", "level" : "intermediate" }, { "name" : "Camera control", "level" : "intermediate" }, { "name" : "Buffering", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Throughput analysis", "level" : "intermediate" }, { "name" : "Timing jitter", "level" : "intermediate" }, { "name" : "Dropped-frame analysis", "level" : "intermediate" }, { "name" : "Image quality", "level" : "intermediate" }, { "name" : "Power sequencing", "level" : "intermediate" }, { "name" : "Reset sequencing", "level" : "intermediate" }, { "name" : "Sensor mode tables", "level" : "intermediate" }, { "name" : "ISP behavior", "level" : "intermediate" } ], "majorSkills" : "Camera systems, Robotic intelligence, NVIDIA Tegra, Real-time systems", "majorSkillsList" : [ "Camera systems", "Robotic intelligence", "NVIDIA Tegra", "Real-time systems" ], "coreResponsibilities" : "Own camera systems end to end, Define requirements with camera partners, Integrate camera hardware, Debug camera pipelines, Maintain camera pipelines, Define requirements for custom cameras, Develop low-level camera software, Configure sensor settings, Debug hardware/software camera issues, Design low-latency camera pipelines, Build high-level APIs, Expose camera data to systems, Collaborate with perception teams, Collaborate with robotics teams, Collaborate with embedded systems teams, Collaborate with electrical engineering teams, Collaborate with hardware partners", "teamCollaboration" : "Cross-functional teams; External hardware partners", "domainKnowledge" : "Robotic intelligence; Robotic systems; Real-time systems; Camera hardware; Linux kernel; MIPI CSI-2; GMSL; FPD-Link; Image sensors; Imaging pipelines; Bayer formats; RAW capture; YUV/RGB formats; HDR modes; ISP behavior; Multi-camera synchronization; Camera-IMU synchronization; PTP; PPS", "domainList" : [ "robotic-intelligence", "robotic-systems", "real-time-systems", "camera-hardware", "linux-kernel", "mipi-csi-2", "gmsl", "fpd-link", "image-sensors", "imaging-pipelines", "bayer-formats", "raw-capture", "yuv-rgb-formats", "hdr-modes", "isp-behavior", "multi-camera-synchronization", "camera-imu-synchronization", "ptp", "pps" ], "domainSpecificKnowledge" : [ "Robotic intelligence", "Robotic systems", "Real-time systems", "Camera hardware", "Linux kernel", "MIPI CSI-2", "GMSL", "FPD-Link", "Image sensors", "Imaging pipelines", "Bayer formats", "RAW capture", "YUV/RGB formats", "HDR modes", "ISP behavior", "Multi-camera synchronization", "Camera-IMU synchronization", "PTP", "PPS" ], "toolProficiency" : [ "NVIDIA Tegra", "Oscilloscopes", "Logic analyzers" ], "problemSolvingSkills" : "Debugging; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience with embedded camera systems, Proficiency in C/C++ for Linux, Experience with camera interfaces and hardware, Experience developing or modifying Linux camera drivers, Understanding of vision requirements for real-time systems, Experience with multi-camera synchronization, Working knowledge of image sensors and imaging pipelines, Proficient with debugging tools and workflows", "qualificationsPreferred" : "Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field, Experience with PTP, PPS, camera-IMU synchronization, Experience with HDR modes, ISP behavior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack. This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems. Responsibilities Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability. Work directly with camera vendors and hardware partners to define requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets. Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces. Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration. Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior. Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software. Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready. Preferred Qualifications Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field. 5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation. Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design. Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables. Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components Strong understanding of vision requirements for real-time systems, including timestamping, synchronization, buffering, scheduling, latency measurement, jitter reduction, dropped-frame analysis, and deterministic data delivery. Experience with multi-camera synchronization, hardware triggering, PTP, PPS, camera-IMU synchronization, or other precise timing systems. Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV/RGB formats, HDR modes, exposure/gain control, white balance, ISP behavior, and image-quality tradeoffs. Proficient with debugging tools and workflows, including kernel logs, tracing, profiling, oscilloscopes or logic analyzers, long-duration test scripts, capture validation tools, and reproducible failure isolation.", "summaryDescription" : "Camera Systems Software Engineer at Skild AI. Skills: Camera systems, Robotic intelligence, NVIDIA Tegra, Real-time systems. Own camera systems end to end. Define requirements with camera partners", "postedDate" : "2026-06-16T01:17:30.052", "createdAt" : "2026-06-16T01:17:30.052", "lastUpdated" : "2026-06-16T10:58:27.514", "ingestTimestamp" : "2026-06-16T01:17:30.052", "mongoId" : "6a307a69f292fd229c03ba56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Embedded systems", "Camera drivers", "Device trees", "Timestamp handling", "Metadata handling", "Camera control", "Buffering", "Memory management", "Scheduling", "Throughput analysis", "Timing jitter", "Dropped-frame analysis", "Image quality", "Power sequencing", "Reset sequencing", "Sensor mode tables", "ISP behavior", "Camera systems", "Robotic intelligence", "NVIDIA Tegra", "Real-time systems", "Systems design", "API design", "Hardware integration", "Software integration", "Low-latency design", "Driver development", "Debugging", "Calibration", "Validation", "Robotic systems", "Camera hardware", "Linux kernel", "MIPI CSI-2", "GMSL", "FPD-Link", "Image sensors", "Imaging pipelines", "Bayer formats", "RAW capture", "YUV/RGB formats", "HDR modes", "Multi-camera synchronization", "Camera-IMU synchronization", "PTP", "PPS", "Oscilloscopes", "Logic analyzers" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305cc7f292fd229cf639d6", "title" : "Lead Product Experience Strategist", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product Experience Strategist in Charlotte, United States, adjusted for seniority and full-time employment." }, "location" : "Charlotte, North Carolina, NC", "locations" : [ "Charlotte, North Carolina, NC" ], "timestamp" : "2026-06-16T07:12:26.069", "fingerprint" : "6fcb33722f959ba507d5c2a7271ef414fc6f5cf6a1de8b6c2874550852103cb6", "source" : "jazzhr", "language" : "en", "externalId" : "dfN22qI0YE", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "summaryDescription" : "Lead Product Experience Strategist. Develop product strategy. Define product roadmap", "createdAt" : "2026-06-15T22:25:55.217", "lastUpdated" : "2026-06-16T07:12:26.069", "ingestTimestamp" : "2026-06-15T22:25:55.217", "mongoId" : "6a305cc7f292fd229cf639d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ccd74d8ee00a091b791", "title" : "Staff Software Engineer / Tech Lead, ML Infrastructure", "company" : "Heartflow", "industry" : "Healthcare", "salary" : { "min" : 190000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T09:37:27.432", "fingerprint" : "1cb73ae4ed28535feb00925df5a2410c98370210d73e97d6016164485b4915b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/heartflowinc/jobs/6018961004", "externalId" : "6018961004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, AWS, GCP, Azure, CDK, Terraform, Ray, Kubernetes, Apache Iceberg", "professionalSkills" : [ "System design", "Architectural vision" ], "hardSkillsList" : [ "ML infrastructure", "Distributed systems", "MLOps", "Cloud-data systems", "Data curation", "Data analytics", "ML training", "ML evaluation", "ML deployment", "Production monitoring" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "ML infrastructure", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Cloud-data systems", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "ML training", "level" : "intermediate" }, { "name" : "ML evaluation", "level" : "intermediate" }, { "name" : "ML deployment", "level" : "intermediate" }, { "name" : "Production monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML Infrastructure, Distributed Systems, MLOps", "majorSkillsList" : [ "ML Infrastructure", "Distributed Systems", "MLOps" ], "coreResponsibilities" : "Act as technical lead, Mentor small team, Guide system design, Conduct code reviews, Unblock technical hurdles, Write high-performance Python code, Utilize frameworks like Ray, Architect distributed computing platforms, Maintain distributed computing platforms, Spearhead deployment ML algorithms, Ensure models run efficiently, Design cloud-data systems, Integrate cloud-data systems, Manage lifecycle medical datasets, Work cross-functionally researchers, Work cross-functionally engineers, Understand model development, Solve ML training needs, Solve ML serving needs, Solve production monitoring needs, Utilize AI development tools, Accelerate engineering workflows", "teamCollaboration" : "Cross-functionally with researchers; Cross-functionally with engineers", "projectManagementSkills" : [ "System design", "Technical execution" ], "domainKnowledge" : "ML infrastructure; Distributed systems; MLOps; Medical imaging datasets; Precision heartcare; Coronary artery disease; AI-driven cardiac test", "domainList" : [ "ml-infrastructure", "distributed-systems", "mlops", "medical-imaging-datasets", "precision-heartcare", "coronary-artery-disease", "ai-driven-cardiac-test" ], "domainSpecificKnowledge" : [ "ML infrastructure", "Distributed systems", "MLOps", "Medical imaging datasets", "Precision heartcare", "Coronary artery disease", "AI-driven cardiac test" ], "toolProficiency" : [ "Ray", "Kubernetes", "Apache Iceberg", "CDK", "Terraform" ], "communicationSkills" : "Well-communicated solutions", "documentationSkills" : "User documentation", "problemSolvingSkills" : "First-principles thinking; Break down complex challenges", "qualificationsBasic" : "8+ years software engineering experience, Focus on ML infrastructure, Focus on distributed systems, Focus on MLOps, Mentoring peers history, Leading technical projects history, High proficiency in Python, Deep understanding distributed computing, Optimize heavy compute workloads, Optimize cloud-data workloads", "qualificationsPreferred" : "Excitement to act as technical anchor", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. Location: Hybrid / San Francisco, CA What's the role? We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare. This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically. This is a full-time position operating on a hybrid schedule out of our San Francisco office. What's this team like at Heartflow? We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference. We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions. What does the day-to-day look like? Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles. Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation. Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production. Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets. Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs. Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team's engineering workflows. Qualities that will help you thrive in this role are: 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps. A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers. Ability to write clear, well-tested, and scalable code, with high proficiency in Python. Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure). Familiarity with infrastructure as code (e.g., CDK, Terraform). Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg. Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python). Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus. Salary Range: $190,000 - $250,000 base, plus cash bonus and equity. Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination. Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals. Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.", "summaryDescription" : "Staff Software Engineer / Tech Lead, ML Infrastructure at Heartflow. Skills: ML Infrastructure, Distributed Systems, MLOps. Act as technical lead. Mentor small team", "postedDate" : "2026-06-14T03:32:17.750", "createdAt" : "2026-06-14T03:32:17.750", "lastUpdated" : "2026-06-15T09:37:27.432", "ingestTimestamp" : "2026-06-14T03:32:17.750", "mongoId" : "6a2c6ccd74d8ee00a091b791", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ML infrastructure", "Distributed systems", "MLOps", "Cloud-data systems", "Data curation", "Data analytics", "ML training", "ML evaluation", "ML deployment", "Production monitoring", "Leadership", "Mentoring", "ML Infrastructure", "Distributed Systems", "System design", "Architectural vision", "Technical execution", "Medical imaging datasets", "Precision heartcare", "Coronary artery disease", "AI-driven cardiac test", "Ray", "Kubernetes", "Apache Iceberg", "CDK", "Terraform" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a1688d858b93c861eafb75b", "title" : "Engineering Assistant or II", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 51158.0, "max" : 87046.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-San Angelo-San Angelo District Hdqtr", "locations" : [ "UST-Texas-San Angelo-San Angelo District Hdqtr", "Yearly", "Nonexempt,
San Angelo District Hdqtr (07DISTHQ)
4502 KNICKERBOCKER ROAD
San Angelo, 76904

, San Angelo District Hdqtr" ], "timestamp" : "2026-06-16T00:45:09.180", "fingerprint" : "63314945f15b8fca4d68fcdf88df0c541513c8286c20fa9ad23af27ed70bbb4c", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44424", "externalId" : "44424", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Angelo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.4649685,-100.4405094" } ], "locationText" : "San Angelo, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Roadway design", "Roadway construction", "Roadway maintenance" ], "majorSkills" : "Transportation projects", "majorSkillsList" : [ "Transportation projects" ], "coreResponsibilities" : "Assist in delivery of transportation projects, Participate in Engineering Assistant Career Development Program, Gain experience in roadway design, Gain experience in roadway construction, Gain experience in roadway maintenance, Receive classroom training, Receive on-the-job training", "domainKnowledge" : "Transportation projects", "domainList" : [ "transportation-projects" ], "domainSpecificKnowledge" : [ "Transportation projects" ], "continuousLearning" : "Classroom training; On-the-job training", "qualificationsBasic" : "Engineering Assistant Career Development Program participation, Roadway design experience, Roadway construction experience, Roadway maintenance experience, Classroom training, On-the-job training", "qualificationsPreferred" : "Licensure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s San Angelo District is looking for an Engineering Assistant I or II for our Transportation Planning & Development Office to assist in the delivery of essential transportation projects. As an EA, you will participate in our Engineering Assistant Career Development Program and gain valuable experience in roadway design, construction, and maintenance. We provide classroom and on-the-job training that will help you on your way to licensure. Engineering Assistants are our future leaders in the department and have countless opportunities for advancement. Come join our team, apply today! Work Schedule: Monday - Friday, 8:00 a.m. to 5:00 p.m. San Angelo is a vibrant city on the banks of the Concho River with a population of 100,000, yet still maintains a friendly small-town atmosphere. To learn more about the community and what it has to offer, check out these links: https://www.discoversanangelo.com/ https://www.youtube.com/watch?v=ZndGQGTh42s Salary Plan/Grade: Engineer Assistant I (B20): $51,158 - $81,351 yearly Engineer Assistant II (B21): $54,278 - $87,046 yearly *The Texas Department of Transportation reserves the sole right in determining the level of position offered based on the applicant's work experience, skill level and all other appropriate factors, and based on business needs. 51,158.00 87,046.00", "summaryDescription" : "Engineering Assistant or II at TxDOT. Skills: Transportation projects. Assist in delivery of transportation projects. 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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. 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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306743f292fd229cfbb05a", "title" : "Software Engineer - RFGL Systems", "company" : "Spire Global", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Boulder, United States, adjusted for the technology industry and company size." }, "location" : "Boulder, Colo, United States", "locations" : [ "Boulder", "Colo", "United States" ], "timestamp" : "2026-06-16T07:37:20.798", "fingerprint" : "98b81ed6fe61405891372533af9729db279da4e825fd6ee951c4188abed579e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://spire.com/careers/job-openings/job/?gh_jid=8000616&gh_jid=8000616", "externalId" : "8000616", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. We are hiring a Software Engineer to join our US-focused RFGL (Radio Frequency Geolocation) and Signals Intelligence (SIGINT) product team. This role is not the algorithmic or scientific core of our geolocation capability (that sits with our Principal RF Engineer and research team). Instead, you will own the operational side: deploying and maintaining production RFGL/SIGINT software systems on AWS, handling data pipelines and integrations (internal + customer-facing), building monitoring tooling and automation, supporting satellite tasking workflows, and troubleshooting/fixing issues across payloads, ground systems, and infrastructure to drive RFGL product success for commercial, government, and defense customers. ITAR restrictions apply to the work performed on this team. You will work under the direct supervision and mentorship of a senior software engineer on a small, high-impact team. This is an early-to-mid-career hands-on role ideal for someone who thrives in iterative, production-focused environments and wants to contribute meaningfully to mission-critical space systems without needing deep RF estimation theory expertise upfront. What You'll Do: Deploy, maintain, and monitor RFGL and SIGINT software products in AWS production environments, ensuring high availability and performance for real customers Build and improve data handling pipelines, integrations with Spire internal systems, and customer-facing data delivery platforms Develop tooling and automation for production monitoring, alerting, logging, and operational observability Support satellite tasking operations and command workflows that enable RF geolocation missions Investigate and resolve bugs, performance issues, or enhancement needs in satellite payload software, ground systems, and related infrastructure Collaborate closely with the senior software engineer, RF domain experts, and cross-functional teams to implement incremental improvements that directly enhance RFGL product reliability and capability Contribute to infrastructure automation, CI/CD processes, and secure deployment practices in a regulated environment Required Qualifications: 2–5 years of professional software engineering experience (or equivalent academic + internship/project work for strong early-career candidates) Demonstrated hands-on experience with AWS (EC2, S3, Lambda, ECS/EKS, CloudWatch, IAM, or similar services) — this is critical Proficiency in Python for scripting, automation, data processing, and backend tooling Solid Linux fundamentals (administration, bash scripting, system troubleshooting) Experience building or maintaining production systems with a focus on reliability, monitoring, and operational excellence Strong communication skills and comfort working collaboratively in a small team under senior guidance Preferred Qualifications: (These are differentiators) Security background or experience implementing secure engineering practices, compliance controls, or working in regulated/government environments Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based data lakes) Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation, etc.) Prior exposure to space, aerospace, satellite operations, ground stations, or related domains Familiarity with containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions, etc.), or observability tools (Prometheus, Grafana, ELK stack) Any experience reading/debugging C++ or embedded systems code (helpful for payload/ground system work) Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-MK1 The anticipated base salary range for this position is listed below. Final base salary for this role will be based on the location, skills, experience and qualifications. In addition to base compensation, this role is eligible for commissions and annual equity awards. This role is also eligible for our employee benefits program, including vacation, sick, and personal time off; optional medical, dental, vision, life, and disability coverage; a 401(K) plan; health and wellness reimbursement program; and participation in Spire’s Employee Stock Purchase Plan. Base Salary Range $90,000—$130,500 USD Global Perks \uD83D\uDEF0️ Name Your Satellite Program (NYSP) \uD83D\uDE80 Launch Attendance \uD83C\uDF34 Generous Time Off Policy \uD83C\uDF93 Education Assistance Program \uD83E\uDD70 Employee Assistance Program (EAP) \uD83D\uDCC8 Employee Stock Purchase Program (ESPP) \uD83D\uDC63 Family Leave \uD83D\uDCAA Fitness Reimbursement \uD83E\uDDE1 Employee Referral Program \uD83C\uDF49 Healthy snacks & beverages in every office About Spire We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy. Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).", "summaryDescription" : "Software Engineer - RFGL Systems at Spire Global", "postedDate" : "2026-06-15T23:25:25.927", "createdAt" : "2026-06-15T23:25:25.927", "lastUpdated" : "2026-06-16T07:37:20.798", "ingestTimestamp" : "2026-06-15T23:25:25.927", "mongoId" : "6a306743f292fd229cfbb05a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051c6f292fd229cf068b7", "title" : "Senior Software Engineer - Device Experience", "company" : "Easygo", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior Software Engineer in Melbourne, Australia, adjusted for the technology industry and company size." }, "location" : "Melbourne, Victoria, Australia", "locations" : [ "Melbourne", "Victoria", "Australia" ], "timestamp" : "2026-06-16T07:40:32.723", "fingerprint" : "bafb1434aeb4ede74fc04aaff191521675a27225ded20baa7a90c573e0a4dd4c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/easygo/jobs/5164497007", "externalId" : "5164497007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Engineering@Easygo At Easygo, our Core team is at the heart of our operations, creating the robust, high-performance backend software that underpins both our global casino games and sportsbook offerings. The exciting thing about the Core team is that it impacts every single customer and is felt directly by every engineer across all feature development squads within the world's largest online crypto casino and sportsbook platform. As a dedicated developer experience team, we tackle complex technical challenges with innovation and precision, ensuring the foundational systems are robust, scalable, and empower all product development teams. If you're passionate about growth, innovation, and working with the best, we'd love to have you on our team! Key Responsibilities: Deliver high-quality, well-tested features and improvements across the app estate with a strong focus on correctness, performance, and platform best practices. Contribute meaningfully to architectural and technical design discussions within your platform domain, raising considerations around scalability, stability, and maintainability. Uphold and actively contribute to engineering standards including code review rigour, testing coverage, CI/CD adherence and the team's Definition of Done. Partner with Product Managers, UX Designers, and Backend Platform Engineers to deliver user experiences that are seamless and leverage platform capabilities effectively. Identify and surface blockers, technical risks, and delivery concerns early - taking a proactive approach to problem-solving rather than waiting to be directed. Support the growth of the team by providing constructive code review feedback, sharing knowledge openly, and offering guidance to less experienced engineers. Contribute to improving crash-free rates, release predictability, and app stability - key engineering metrics for the Device Experiences team. Participate in on-call and incident response activities, taking ownership of issues within your domain through to resolution. Qualifications: Bachelor's/Master's degree in Computer Science or equivalent practical experience. 4+ years of hands-on experience in mobile software engineering with a focus on quality delivery and scalable development. Proficiency in one or more mobile platforms, with familiarity in the relevant ecosystem and frameworks. Solid understanding of mobile development lifecycles including design, testing, release pipelines, and production support. Experience working with RESTful APIs to connect mobile applications to back-end services. Good understanding of mobile platform design principles and interface guidelines. Strong communication skills with the ability to collaborate effectively across engineering, product, and design. A track record of delivering reliable, well-tested features in a team environment. Experience building and maintaining large-scale consumer mobile applications. Familiarity with CI/CD pipelines and automated testing frameworks for mobile. Experience debugging production issues and contributing to incident resolution. Demonstrated ability to lead delivery of a feature or component from design to production. Experience building custom UI components, video players, or animations. Exposure to regulated market app delivery or multi-variant build pipelines. A quick learner who embraces new technologies and adapts to changing priorities. Some of the perks of joining us: Champion Engineering Excellence to influence cultural change across the organisation. Work alongside the top 5% of engineering talent in Australia, using a vast cloud native tech stack including AWS, Microservices, Large-Scale Distributed Systems, NATS, K8's, ArgoCD, Terraform, Typescript, GraphQL, Nodejs. Exposure to building global, large-scale volume products which operate at thousands per second frequency. Be rewarded with lucrative annual bonuses Enjoy 30 days of bundled person leave - choose how you use it! Give back with a paid volunteer day Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house Break up the week with on site remedial massage Wednesdays In house full-time barista’s providing you your daily coffee needs Weekly team lunches and happy hour in the office from 4pm on Fridays Enjoy a bustling office with the option for up to 2 days work from home per week Fun office environment with pool tables, table tennis and all your favourite gaming consoles We believe that the unique contributions of everyone at Easygo are the drivers of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experiences we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.", "summaryDescription" : "Senior Software Engineer - Device Experience at Easygo", "postedDate" : "2026-06-15T23:21:20.914", "createdAt" : "2026-06-15T23:21:20.914", "lastUpdated" : "2026-06-16T07:40:32.723", "ingestTimestamp" : "2026-06-15T23:21:20.914", "mongoId" : "6a3051c6f292fd229cf068b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d4f3d74d8ee00a0b632bc", "title" : "Senior Engineering Manager, Platform Infrastructure Engineering", "company" : "Commure", "industry" : "Engineering", "salary" : { "min" : 220000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Mountain View, CA", "locations" : [ "Mountain View, CA", "San Francisco, CA", "Los Angeles, CA" ], "timestamp" : "2026-06-15T08:41:18.167", "fingerprint" : "3a571ad01b831dc12b4183c0c53c62c4939783c30b4cd805f020cc3fd5f26414", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Commure/9b256475-4f50-4038-b074-5af9ea136c2b/application", "externalId" : "9b256475-4f50-4038-b074-5af9ea136c2b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Cloud infrastructure, Infrastructure-as-Code, Observability stack, CI/CD, AWS, GCP, Azure, LLM", "professionalSkills" : [ "Platform strategy", "Roadmap ownership", "Architecture standards", "Developer experience", "Cloud security posture", "RBAC", "Secrets management", "Architecture reviews", "Operating leverage" ], "hardSkillsList" : [ "Cloud platforms", "Cloud-native architectures", "SLO-driven reliability" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Cloud-native architectures", "level" : "intermediate" }, { "name" : "SLO-driven reliability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Platform engineering, Infrastructure management, Developer productivity", "majorSkillsList" : [ "Platform engineering", "Infrastructure management", "Developer productivity" ], "coreResponsibilities" : "Lead, coach, and grow PIE team, Hire and scale team, Own platform roadmap, Drive multi-cloud strategy, Define everything as IaC, Own observability stack, Establish SLO standards, Raise bar on developer experience, Embed cloud security posture, Serve as force multiplier, Run lightweight architecture reviews, Set conventions, Triage infrastructure requests", "teamCollaboration" : "Cross-functional stakeholders; Executive leadership; Product engineering teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI Operating System; Healthcare; EHR integration; Cloud-native architecture; HIPAA; SOC 2", "domainList" : [ "ai-operating-system", "healthcare", "ehr-integration", "cloud-native-architecture", "hipaa", "soc-2" ], "domainSpecificKnowledge" : [ "AI Operating System", "Healthcare", "EHR integration", "Cloud-native architecture", "HIPAA", "SOC 2" ], "toolProficiency" : [ "Infrastructure-as-Code" ], "communicationSkills" : "Present technical trade-offs", "qualificationsBasic" : "5+ years experience, Proven technical leadership, Excellent communication skills, Passion for healthcare innovation", "qualificationsPreferred" : "Leading multi-cloud environments, Data center/cloud migrations, Building platforms for LLM-powered products, AI-assisted engineering workflows, Highly regulated industries, Compliance and security, Scaling engineering teams", "remoteFriendly" : true, "rawDescription" : "At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. Healthcare remains one of the slowest industries to adopt new technology, lagging in automation, interoperability, and data-driven decision-making. Hospitals rely on massive administrative teams just to keep up with billing and compliance, while most small practices struggle with outdated tools, leading to cash flow issues and forcing many to sell to private equity groups just to stay afloat. Commure is here to change that. As Senior Engineering Manager, Platform Infrastructure Engineering (PIE), you'll lead the team that every other engineering team builds on. Our products support 250,000+ clinicians across hundreds of care sites, and the platform underneath them — traffic and networking, compute, datastores, Infrastructure-as-Code, observability, and developer experience — is yours to own and scale. This is the highest-leverage engineering leadership role in the company: when PIE ships, every product organization moves faster. If you're passionate about building platforms that multiply the output of an entire engineering organization, we'd love to talk. ABOUT THE ROLE PIE's mission is to build and maintain a secure, scalable, developer-friendly platform that empowers all engineering teams to move quickly and safely. The team is the horizontal foundation for all of Commure engineering — RCM, Air, and beyond — owning core infrastructure, developer experience, operational excellence, and the patterns and guardrails that keep a fast-moving organization safe. The scope is the entire platform stack: traffic and networking, compute orchestration, datastores, multi-cloud infrastructure (AWS, GCP, Azure) including active data center migrations, Infrastructure-as-Code, the full observability stack (logging, metrics, tracing, alerting, on-call), and the developer experience from laptop to production — CI/CD, release workflows, and tooling. You'll lead a small, senior, high-leverage team and grow it deliberately. That means staying close to the technology, making architectural calls alongside your engineers, and hiring exceptional people as the platform's surface area expands. You'll also shape how we build in the AI era — evolving our platform to power LLM-driven products and AI-assisted engineering workflows across the company. WHAT YOU'LL DO - Lead, coach, and grow the PIE team — a compact, senior group where your technical judgment and hands-on leadership directly shape outcomes. Hire and scale the team as platform scope grows. - Own the platform roadmap across all pillars: cloud infrastructure, site reliability engineering, developer experience, intra-service security, and architecture standards. - Drive our multi-cloud strategy (AWS, GCP, Azure) and data center migrations, with everything defined as Infrastructure-as-Code. - Own the observability stack end to end — monitoring, alerting, tracing, on-call, and incident response — and establish SLO-driven reliability standards for service health across engineering. - Raise the bar on developer experience: golden-path tooling, CI/CD pipelines, local development, and release workflows that make the right way the easy way. - Partner with Security to embed cloud security posture management, RBAC, secrets management, and secure-by-default patterns into how every team builds. - Serve as a force multiplier for product engineering — run lightweight architecture reviews, set conventions that create operating leverage, and triage cross-team infrastructure requests with urgency and rigor. - Position the platform for the AI era — infrastructure for LLM-powered products and AI-accelerated development across the engineering org. - Foster a strong culture of ownership, curiosity, and collaboration. WHAT YOU HAVE REQUIRED - 8-10+ years of experience developing software, with deep hands-on background in infrastructure, platform, or site reliability engineering. - 5+ years of experience leading engineering teams, including hiring, coaching, performance management, and growing senior engineers. - Hands-on expertise across the platform stack: networking and traffic management, compute orchestration (Kubernetes), datastores, Infrastructure-as-Code (Terraform, Pulumi, or similar), and observability tooling. - Expertise with modern cloud platforms (AWS, GCP, and/or Azure) and cloud-native architectures at scale. - A track record of running platform teams as force multipliers — measured by the velocity, reliability, and adoption they create for other teams, not just the systems they ship. - Proven technical leadership: you make architectural and strategic decisions that shape how an entire organization builds and deploys software, and you stay close enough to the code to make them well. - Excellent communication skills, with the ability to influence cross-functional stakeholders and present technical trade-offs to executive leadership. - A passion for healthcare innovation and making a meaningful impact on patient care. PREFERRED - Experience leading multi-cloud environments and data center/cloud migrations. - Experience building platforms for LLM-powered products or AI-assisted engineering workflows. - Experience in highly regulated industries (e.g., healthcare, finance) with a focus on compliance and security (HIPAA, SOC 2). - Experience scaling engineering teams in high-growth environments. If you're excited about building the platform that powers the future of healthcare — and leading the team every other engineer depends on — we'd love to hear from you! Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com http://getathelas.com, @commure.com http://commure.com or @augmedix.com http://augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.", "summaryDescription" : "Senior Engineering Manager, Platform Infrastructure Engineering at Commure. Skills: Platform engineering, Infrastructure management, Developer productivity. Lead, coach, and grow PIE team. 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We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Software Engineer on Knowledge Systems, you’ll help build systems that understand what is true about the world. You’ll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond so AI agents can answer questions with unprecedented precision and completeness. Desired Experience - You have experience building and maintaining complex distributed backend systems - You can build data pipelines that process petabytes of documents, metadata, and unstructured data - You’re comfortable optimizing systems for correctness, reliability, and scale - You care deeply about data quality and finding high-quality information Plus: experience building systems involving graph traversal, entity resolution, data quality, or truth discovery Example Projects - Build a system that can answer every factual question about every person in the world - Design a new query language for searching, traversing, and reasoning over billions of facts", "summaryDescription" : "Software Engineer, Knowledge Systems at Exa. Skills: Knowledge Systems, Applied AI, Massive-scale infra. Build systems that understand truth. 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