{ "count" : 63775, "data" : [ { "id" : "69cf3f092beec4dd3d934348", "title" : "Software Engineer - ML and Distributed Systems", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 165000.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, USA", "locations" : [ "Mountain View, California, USA" ], "timestamp" : "2026-06-15T05:04:55.960", "fingerprint" : "d868c23a377d5758c20e1c3c9ef2257dc6a52eea63aef979c18136eac411fa41", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381248/apply", "externalId" : "92453e98-92dd-42a3-9d8f-ca739d4cdad8", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Machine Learning, Distributed systems", "professionalSkills" : [ "System design", "Performance tuning" ], "hardSkillsList" : [ "ML pipelines", "Large scale systems" ], "softSkillsList" : [ "Curiosity" ], "hardSkills" : [ { "name" : "ML pipelines", "level" : "intermediate" }, { "name" : "Large scale systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" } ], "majorSkills" : "ML platform development, Distributed systems, Machine learning", "majorSkillsList" : [ "ML platform development", "Distributed systems", "Machine learning" ], "coreResponsibilities" : "Collaborate to conceive products, Design innovative technologies, Build innovative technologies, Lead fundamental changes, Create prediction solutions, Build distributed storage systems, Build index systems, Build query systems, Design solutions, Code solutions, Deliver high-quality software", "teamCollaboration" : "Cross-disciplinary teams; Product managers; Scientists; Other engineers", "projectManagementSkills" : [ "Agile environment" ], "domainKnowledge" : "Deep learning; AWS; Large scale systems; ML pipelines; Distributed computing", "domainList" : [ "deep-learning", "aws", "large-scale-systems", "ml-pipelines", "distributed-computing" ], "domainSpecificKnowledge" : [ "Deep learning", "AWS", "Large scale systems", "ML pipelines", "Distributed computing" ], "continuousLearning" : "Ongoing learning experiences", "innovationCreativity" : "Innovative products; Innovative services; Innovative technologies", "problemSolvingSkills" : "Managing ambiguity", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon Personalize is a deep learning AWS Service that makes it easy for developers to create individualized recommendations for customers. We're building a large-scale machine learning platform and are looking for senior engineers to architect and develop the platform. If you have prior experience in building & scaling large scale systems, ML pipelines, and enjoy extracting maximum performance at every layer of the stack, we should talk. You'll collaborate with product managers, scientists and other engineers to rapidly deliver production ready solutions that have a broad business impact. This is a unique opportunity to join a fast-growing startup within AWS AI, where you'll be working on latest technology, influence and shape the technology, product and business. Key job responsibilities • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. • Design and code the right solutions starting with broadly defined problems. • Work in an agile environment to deliver high-quality software. A day in the life The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "Software Engineer - ML and Distributed Systems at Amazon.com Services LLC. Skills: ML platform development, Distributed systems, Machine learning. Collaborate to conceive products. Design innovative technologies", "postedDate" : "2026-06-13T08:35:43.701", "createdAt" : "2026-06-13T08:35:43.701", "lastUpdated" : "2026-06-15T05:04:55.960", "ingestTimestamp" : "2026-06-13T08:35:43.701", "mongoId" : "69cf3f092beec4dd3d934348", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381248/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ML pipelines", "Large scale systems", "Curiosity", "ML platform development", "Distributed systems", "Machine learning", "System design", "Performance tuning", "Agile environment", "Deep learning", "AWS", "Distributed computing" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c95ab74d8ee00a098db03", "title" : "Senior Software Engineer - Distributed Systems", "company" : "Fanatics Betting & Gaming", "industry" : "FinTech", "salary" : { "min" : 152000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T06:37:08.299", "fingerprint" : "f7686d69da435593ad262e2bd01ac204b8b8cf21b505563436661f6d0de96422", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4254293009", "externalId" : "4254293009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kotlin, Java, Spring Boot, REST, GRPC, Protobuf, Kafka, Redpanda, Pub Sub, Postgres, Redis, Redis PubSub, Kubernetes, Helm, Terraform, AWS", "professionalSkills" : [ "API design", "System design", "Platform strategy", "Technical leadership", "Build vs buy" ], "hardSkillsList" : [ "Distributed systems", "High-throughput systems", "Low-latency design", "Event pipelines", "Data integrity", "Cache coherence", "Exactly-once processing", "Backpressure handling", "Circuit breaking", "Idempotent retry logic", "Graceful degradation", "Fan-out problem", "Schema evolution", "Testing practices", "Deployment patterns", "Production reliability", "On-call triage", "Durable fixes", "Technical direction", "Architectural decisions", "Success metrics", "Latency budgets", "Throughput targets" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "High-throughput systems", "level" : "intermediate" }, { "name" : "Low-latency design", "level" : "intermediate" }, { "name" : "Event pipelines", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Cache coherence", "level" : "intermediate" }, { "name" : "Exactly-once processing", "level" : "intermediate" }, { "name" : "Backpressure handling", "level" : "intermediate" }, { "name" : "Circuit breaking", "level" : "intermediate" }, { "name" : "Idempotent retry logic", "level" : "intermediate" }, { "name" : "Graceful degradation", "level" : "intermediate" }, { "name" : "Fan-out problem", "level" : "intermediate" }, { "name" : "Schema evolution", "level" : "intermediate" }, { "name" : "Testing practices", "level" : "intermediate" }, { "name" : "Deployment patterns", "level" : "intermediate" }, { "name" : "Production reliability", "level" : "intermediate" }, { "name" : "On-call triage", "level" : "intermediate" }, { "name" : "Durable fixes", "level" : "intermediate" }, { "name" : "Technical direction", "level" : "intermediate" }, { "name" : "Architectural decisions", "level" : "intermediate" }, { "name" : "Success metrics", "level" : "intermediate" }, { "name" : "Latency budgets", "level" : "intermediate" }, { "name" : "Throughput targets", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, Event-driven infrastructure, High-throughput systems, Low-latency design", "majorSkillsList" : [ "Distributed systems", "Event-driven infrastructure", "High-throughput systems", "Low-latency design" ], "coreResponsibilities" : "Design distributed systems, Build distributed systems, Scale distributed systems, Architect for traffic spikes, Architect for concurrency, Own development event pipelines, Optimize event pipelines, Build low-latency data layers, Tune low-latency data layers, Implement resilience patterns, Enforce resilience patterns, Contribute user-facing systems, Solve fan-out problem, Partner with leadership, Align technical execution, Contribute build vs buy, Contribute platform strategy, Set engineering standards, Uphold engineering standards, Mentor junior engineers, Develop junior engineers, Raise technical floor", "teamCollaboration" : "Partner with product; Partner with engineering leadership; Code reviews; RFCs; Technical documentation; Pairing; Design reviews", "projectManagementSkills" : [ "Platform strategy" ], "domainKnowledge" : "Distributed systems; Real-money trading; High-throughput systems; Low-latency design; Event-driven infrastructure; Prediction markets; Sportsbook; iGaming platform; Financial platforms; Real-time trading; Cloud-native infrastructure", "domainList" : [ "distributed-systems", "real-money-trading", "high-throughput-systems", "low-latency-design", "event-driven-infrastructure", "prediction-markets", "sportsbook", "igaming-platform", "financial-platforms", "real-time-trading", "cloud-native-infrastructure" ], "domainSpecificKnowledge" : [ "Distributed systems", "Real-money trading", "High-throughput systems", "Low-latency design", "Event-driven infrastructure", "Prediction markets", "Sportsbook", "iGaming platform", "Financial platforms", "Real-time trading", "Cloud-native infrastructure" ], "toolProficiency" : [ "Spring Boot", "Kafka", "Postgres", "Redis", "Kubernetes", "Helm", "Terraform", "AWS" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Diagnose bottlenecks", "specialRequirements" : "On-call", "outcomesObjectives" : "Hold systems accountable", "qualificationsBasic" : "5+ years software engineering, 5+ years distributed systems, 5+ years high-concurrency production, Expert Java or Kotlin, Expert Spring Boot, Command modern API design, Deep Kafka experience, Diagnose and resolve bottlenecks", "qualificationsPreferred" : "Experience real-time delivery systems, Familiarity financial platforms, Familiarity real-time trading, Familiarity prediction markets, Experience high-growth startup", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. The Opportunity As a Sr Software Engineer on our Distributed Systems team, you'll be at the core of what makes Fanatics Markets work — the event-driven infrastructure that powers real-money trading at scale. This is a role for an engineer who moves fluidly between hands-on coding and architectural influence: someone who can design a system that handles massive traffic spikes during live events, then roll up their sleeves and build it. You'll work alongside some of the most experienced distributed systems engineers in the industry, owning meaningful technical decisions and directly shaping how the platform scales over the next several years. If you thrive at the intersection of high-throughput systems, low-latency design, and technical leadership — this is your seat Responsibilities Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot, architecting for the traffic spikes and concurrency demands of a live real-money trading platform. Own the development and optimization of high-throughput event pipelines using Kafka, including partition strategy, consumer group design, and exactly-once processing guarantees. Build and tune low-latency data layers across Postgres, Redis, and Redis PubSub — ensuring data integrity, cache coherence, and sub-millisecond read paths under peak load. Implement and enforce resilience patterns across services — backpressure handling, circuit breaking, idempotent retry logic, and graceful degradation under failure conditions. Contribute to real-time user-facing systems, solving the fan-out problem for live market updates across tens of thousands of concurrent sessions. Partner with product and engineering leadership to align technical execution with business priorities — contributing to build vs. buy decisions and long-term platform strategy. Set and uphold engineering standards for observability, schema evolution, testing practices, and deployment patterns across the team — through code reviews, RFCs, and technical documentation. Mentor and actively develop junior and mid-level engineers, raising the technical floor of the team through pairing, design reviews, and direct feedback. Qualifications 5+ years of software engineering experience with a primary focus on distributed systems and high-concurrency production environments. Expert-level proficiency in Java or Kotlin and Spring Boot, with a strong command of modern API design — REST, gRPC, and Protobuf. Deep hands-on experience with Kafka (or Redpanda/Pub Sub) — including internal mechanics, partition strategies, consumer group rebalancing, and delivery guarantees. Proven ability to diagnose and resolve bottlenecks in asynchronous messaging systems and implement patterns like idempotency, distributed caching, and exactly-once processing. Hands-on experience with Kubernetes, Helm, Terraform, and cloud-native infrastructure on AWS. Strong instincts for production reliability — you've been on-call, triaged distributed system failures under pressure, and shipped durable fixes. Demonstrated ability to influence technical direction across teams and guide engineers through complex architectural decisions without direct authority. Track record of defining success metrics upfront — SLAs, latency budgets, throughput targets — and holding systems accountable to them in production. Preferred Experience with real-time delivery systems — WebSocket fan-out, server-sent events, or pub/sub at scale. Familiarity with financial platforms, real-time trading systems, or prediction markets. Experience in a high-growth startup environment where ownership is broad and the technical landscape evolves quickly. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $152,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior Software Engineer - Distributed Systems at Fanatics Betting & Gaming. Skills: Distributed systems, Event-driven infrastructure, High-throughput systems, Low-latency design. Design distributed systems. Build distributed systems", "postedDate" : "2026-06-13T21:31:30.902", "createdAt" : "2026-06-13T21:31:30.902", "lastUpdated" : "2026-06-15T06:37:08.299", "ingestTimestamp" : "2026-06-13T21:31:30.902", "mongoId" : "6a2c95ab74d8ee00a098db03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 152000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "High-throughput systems", "Low-latency design", "Event pipelines", "Data integrity", "Cache coherence", "Exactly-once processing", "Backpressure handling", "Circuit breaking", "Idempotent retry logic", "Graceful degradation", "Fan-out problem", "Schema evolution", "Testing practices", "Deployment patterns", "Production reliability", "On-call triage", "Durable fixes", "Technical direction", "Architectural decisions", "Success metrics", "Latency budgets", "Throughput targets", "Leadership", "Mentoring", "Event-driven infrastructure", "API design", "System design", "Platform strategy", "Technical leadership", "Build vs buy", "Real-money trading", "Prediction markets", "Sportsbook", "iGaming platform", "Financial platforms", "Real-time trading", "Cloud-native infrastructure", "Spring Boot", "Kafka", "Postgres", "Redis", "Kubernetes", "Helm", "Terraform", "AWS" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799674d8ee00a0941f6f", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Java Engineer in the Technology industry, adjusted for seniority and global remote work." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T02:53:59.438", "fingerprint" : "67bd789e6a973c7374624f7674d06be44201493f73812d0cb2b8ac0a4d720c02", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001191&gh_jid=8001191", "externalId" : "8001191", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Kafka, Redis, Elasticsearch, Microservices, AWS, GCP, Azure, Docker, Kubernetes, SQL, NoSQL, Linux, Unix, Git, CI/CD, Terraform, Ansible", "professionalSkills" : [ "System design", "Problem solving", "Troubleshooting" ], "hardSkillsList" : [ "Distributed systems", "Performance tuning", "Data streaming", "Large-scale data processing" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data streaming", "level" : "intermediate" }, { "name" : "Large-scale data processing", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Microservices", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Microservices" ], "coreResponsibilities" : "Design and implement distributed systems, Develop and maintain microservices, Optimize Elasticsearch performance, Build and manage CI/CD pipelines, Ensure system reliability and scalability, Troubleshoot and resolve production issues, Collaborate with cross-functional teams, Write clean, maintainable code, Participate in code reviews, Contribute to system architecture discussions, Develop and maintain monitoring and alerting systems, Manage cloud infrastructure, Implement infrastructure as code", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile", "Scrum", "CI/CD" ], "domainKnowledge" : "Distributed systems; Microservices architecture; Cloud platforms; Containerization; Data streaming; Observability", "domainList" : [ "distributed-systems", "microservices-architecture", "cloud-platforms", "containerization", "data-streaming", "observability" ], "domainSpecificKnowledge" : [ "Distributed systems", "Microservices architecture", "Cloud platforms", "Containerization", "Data streaming", "Observability" ], "toolProficiency" : [ "Docker", "Kubernetes", "Git", "Terraform", "Ansible", "JIRA" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Performance tuning", "qualificationsBasic" : "5+ years of experience in software development, Experience with distributed systems, Experience with Elasticsearch, Experience with Java, Experience with Spring Boot, Experience with Kafka, Experience with Redis, Experience with microservices architecture, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with containerization (Docker, Kubernetes), Experience with SQL and NoSQL databases, Experience with monitoring and alerting tools, Experience with Linux/Unix environments, Experience with Git", "qualificationsPreferred" : "Experience with performance tuning, Experience with distributed tracing, Experience with observability tools, Experience with data streaming technologies, Experience with machine learning, Experience with AI, Experience with large-scale data processing, Experience with security best practices, Experience with infrastructure as code (Terraform, Ansible), Experience with Kubernetes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 272.000 Lei—430.200 Lei RON Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design and implement distributed systems. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design, build, and maintain scalable microservices. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 15 805 300 Ft—25 001 600 Ft HUF Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design, build, and maintain scalable distributed systems. Develop and optimize Elasticsearch solutions", "postedDate" : "2026-06-14T18:40:13.624", "createdAt" : "2026-06-14T18:40:13.624", "lastUpdated" : "2026-06-16T01:38:19.252", "ingestTimestamp" : "2026-06-14T18:40:13.624", "mongoId" : "6a2c799674d8ee00a0941f72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Microservices architecture", "Containerization", "Monitoring", "Alerting", "Performance optimization", "Elasticsearch", "Java", "Microservices", "System design", "Performance tuning", "Security best practices", "Agile methodologies", "Cloud platforms", "Docker", "Kubernetes", "AWS", "GCP", "Azure", "CI/CD tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f0c", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and a global distribution, reflecting 2024-2025 data." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T00:59:41.314", "fingerprint" : "fb5db353edf8b1ac19f227af51de0bf7f25b030e17919ebd1844a9a03be16631", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002555&gh_jid=8002555", "externalId" : "8002555", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T21:29:13.847", "createdAt" : "2026-06-14T21:29:13.847", "lastUpdated" : "2026-06-16T00:59:41.314", "ingestTimestamp" : "2026-06-14T21:29:13.847", "mongoId" : "6a2c799474d8ee00a0941f0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f11", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and the global nature of the role." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T01:04:03.979", "fingerprint" : "0bd3d2943d9b49615394d694bab25e30bae1c2cdebeda84602cbb69ae3856a8c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002563&gh_jid=8002563", "externalId" : "8002563", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T20:42:17.926", "createdAt" : "2026-06-14T20:42:17.926", "lastUpdated" : "2026-06-16T01:04:03.979", "ingestTimestamp" : "2026-06-14T20:42:17.926", "mongoId" : "6a2c799474d8ee00a0941f11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cadc474d8ee00a09d398d", "title" : "Distributed Systems Engineer", "company" : "ThisWay Global", "industry" : "Information Technology and Services", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Distributed Systems Engineer in the US technology sector, adjusted for remote work and company size." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T03:30:56.562", "fingerprint" : "fd8ba4b0e92b1f00a57e8a4c408a7527a37d4db8ab5e31acbbb58e9e3aabd501", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/3E80017B40/apply", "externalId" : "3E80017B40", "industryFunction" : { }, "locationPoint" : "39.8283,-98.5795", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Rust, Go, NVIDIA NVL72, GB300", "professionalSkills" : [ "Systems programming", "System design", "Performance optimization" ], "hardSkillsList" : [ "Fault tolerance", "Eventual consistency", "Memory management", "I/O optimization", "Concurrency issues", "Distributed coordination" ], "hardSkills" : [ { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Eventual consistency", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "I/O optimization", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" }, { "name" : "Distributed coordination", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Exascale computing, AI infrastructure", "majorSkillsList" : [ "Distributed systems", "Exascale computing", "AI infrastructure" ], "coreResponsibilities" : "Design distributed systems, Implement fault-tolerant communication, Write maintainable code, Debug system behavior, Contribute to systems in Rust, Work with system-level concerns, Optimize performance, Debug concurrency issues, Design APIs, Identify and reduce tight coupling, Diagnose and resolve failures, Design and implement secure solutions, Collaborate with engineers, Contribute to resolving issues, Continue developing expertise", "teamCollaboration" : "Collaborate with engineers; Collaborate with computer scientists", "domainKnowledge" : "Distributed systems; AI; Exascale computing; HPC infrastructure; Operating systems internals; Compiler internals; Fault tolerance; File system architecture; Trusted systems", "domainList" : [ "distributed-systems", "ai", "exascale-computing", "hpc-infrastructure", "operating-systems-internals", "compiler-internals", "fault-tolerance", "file-system-architecture", "trusted-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "AI", "Exascale computing", "HPC infrastructure", "Operating systems internals", "Compiler internals", "Fault tolerance", "File system architecture", "Trusted systems" ], "continuousLearning" : "Developing expertise", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Experience building distributed systems, Production experience developing systems in Rust or Go, Understanding of distributed systems failure modes, Knowledge of consistency models, Experience designing APIs, Experience working within established architectures, Understanding of systems-level concepts", "qualificationsPreferred" : "Experience with HPC environments, Exposure to operating systems internals, Experience with edge computing, Familiarity with message queues, Exposure to consensus algorithms, Experience with concurrency, Experience contributing to developer tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States. ThisWay Global, Inc. is an AI-first technology company headquartered in Texas, operating at the intersection of artificial intelligence, data center infrastructure, and workforce solutions. The company operates across three primary business areas: * **ADCAP — AI & Data Center Acceleration Platform:** A data center development and operations platform supporting accelerated deployment timelines and NVIDIA NVL72/GB300 GPU clusters. * **Amalgamy.ai — AI Orchestration Software:** An enterprise AI orchestration platform focused on GPU and compute utilization across AI environments. * **Staffing & Workforce Solutions:** AI-powered talent matching solutions connecting employers with candidates at scale. This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability. **Location:** Remote – United States **Department:** Engineering **Employment Type:** Full-Time, Exempt ### Responsibilities * Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity. * Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns. * Write maintainable, resilient, and tested code following development standards and methodologies. * Debug and improve system behavior, including networking and distributed coordination issues. * Contribute to systems written primarily in Rust. * Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability. * Optimize performance and memory usage in resource-constrained environments. * Debug concurrency issues and distributed coordination challenges. * Design and maintain APIs and communication layers between distributed components. * Identify and reduce tight coupling across services and systems. * Diagnose and resolve cross-system failures in production environments. * Design and implement secure, reliable solutions aligned with engineering standards. * Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. * Contribute to resolving architectural and systemic issues. * Continue developing expertise in distributed systems, HPC infrastructure, and related tooling. **Requirements** * Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links. * Production experience developing systems in Rust or Go. * Understanding of distributed systems failure modes and mitigation strategies. * Knowledge of consistency models, coordination strategies, and state replication. * Experience designing APIs and communication layers between distributed components. * Experience working within established architectures and delivering production-quality components. * Understanding of systems-level concepts including durability, reliability, and operational behavior. * Ability to work independently while collaborating with technical leadership. ### Preferred Qualifications * Experience with HPC environments, exascale computing, or AI/ML infrastructure. * Exposure to operating systems internals, compiler design, or language runtimes. * Experience with edge computing or constrained network environments. * Familiarity with message queues, event-driven systems, or streaming architectures. * Exposure to consensus algorithms or distributed coordination primitives. * Experience with concurrency, memory management, or performance optimization in production systems. * Experience contributing to developer tooling, internal platforms, or infrastructure-layer components. **Benefits** * Remote work within the United States. * Opportunity to work on distributed systems supporting AI and exascale workloads. * Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. * Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.", "summaryDescription" : "Distributed Systems Engineer at ThisWay Global. Skills: Distributed systems, Exascale computing, AI infrastructure. Design distributed systems. Implement fault-tolerant communication", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T00:15:09.474", "lastUpdated" : "2026-06-15T03:30:56.562", "ingestTimestamp" : "2026-06-14T00:15:09.474", "mongoId" : "6a2cadc474d8ee00a09d398d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/3E80017B40", "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Fault tolerance", "Eventual consistency", "Memory management", "I/O optimization", "Concurrency issues", "Distributed coordination", "Distributed systems", "Exascale computing", "AI infrastructure", "Systems programming", "System design", "Performance optimization", "AI", "HPC infrastructure", "Operating systems internals", "Compiler internals", "File system architecture", "Trusted systems" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c0774d8ee00a094c037", "title" : "Distributed Systems Engineer, Analytical Database Platform", "company" : "Cloudflare", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level, Senior Distributed Systems Engineer in Austin, United States, adjusted for the Technology industry and a large company size." }, "location" : "Austin, TX, United States", "locations" : [ "Austin", "TX", "United States" ], "timestamp" : "2026-06-15T11:22:56.393", "fingerprint" : "826f36ab80a20a86769f35dd9ce1c345aa7dd650d93e84042ae99e3dd0c6ef67", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/cloudflare/jobs/7462799?gh_jid=7462799", "externalId" : "7462799", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, Python, C++, SQL, Databases, Distributed systems, Docker, Kubernetes", "professionalSkills" : [ "Software development", "Database design", "Performance tuning", "Data ingestion" ], "hardSkillsList" : [ "Database internals", "Algorithms", "Data structures", "Concurrency" ], "hardSkills" : [ { "name" : "Database internals", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Concurrency", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Analytical database, ClickHouse", "majorSkillsList" : [ "Distributed systems", "Analytical database", "ClickHouse" ], "coreResponsibilities" : "Develop platform components, Implement platform components, Add database clusters, Monitor cluster performance, Maintain cluster reliability, Troubleshoot database issues, Identify bottlenecks, Remove bottlenecks, Optimize query performance, Streamline data ingestion, Collaborate with community, Add new features, Contribute to codebase, Understand data needs, Build data solutions, Participate in development, Research new technologies, Evaluate new technologies", "teamCollaboration" : "Collaborate in team; Communicate with teams", "domainKnowledge" : "Analytical database; Distributed systems; Database internals; Cloudflare Analytics", "domainList" : [ "analytical-database", "distributed-systems", "database-internals", "cloudflare-analytics" ], "domainSpecificKnowledge" : [ "Analytical database", "Distributed systems", "Database internals", "Cloudflare Analytics" ], "toolProficiency" : [ "ClickHouse", "SALT", "Terraform", "Docker", "Kubernetes" ], "communicationSkills" : "Effective communication", "problemSolvingSkills" : "Analytical; Problem-solving; Proactive issue identification", "qualificationsBasic" : "3+ years software development, Distributed systems experience, Databases experience, Golang programming skills, Python programming skills, C++ programming skills, SQL knowledge, Database internals knowledge, Computer science foundation, Algorithms knowledge, Data structures knowledge, Concurrency knowledge, Team environment work, Effective communication skills, Analytical skills, Problem-solving skills, Independent work ability, Proactive issue identification", "qualificationsPreferred" : "ClickHouse experience, SALT experience, Terraform experience, Linux container technologies experience, Docker experience, Kubernetes experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations Available: Austin (US) About Role We are looking for an experienced and highly motivated engineer to join our team and contribute to our analytical database platform. The platform is a critical component of Cloudflare Analytics which provides real-time visibility into the health and performance of Cloudflare customers' online properties. The team builds and maintains a high-performance, scalable database platform powered by ClickHouse, optimized for analytical workloads. We help our customers, both internal and external, to gain a deeper understanding of their online properties, identify trends and patterns, and make informed decisions about how to optimize their web performance, security, and other key metrics. Our mission is to empower customers to leverage their data to drive better outcomes for their business. As a Distributed systems engineer - Analytical Database Platform, you will: Develop and implement new platform components for the Cloudflare Analytical Database Platform to improve functionality and performance. Add more database clusters to accommodate the growing volume of data generated by Cloudflare products and services. Monitor and maintain the performance and reliability of existing database platform clusters, and identify and troubleshoot any issues that may arise. Work to identify and remove bottlenecks within the analytics database platform, including optimizing query performance and streamlining data ingestion processes. Collaborate with the ClickHouse open-source community to add new features and functionality to the database, as well as contribute to the development of the upstream codebase. Collaborate with other teams across Cloudflare to understand their data needs and build solutions that empower them to make data-driven decisions. Participate in the development of the next generation of the database platform engine, including researching and evaluating new technologies and approaches that can improve the database's performance and scalability. Key qualifications: 3+ years of experience working in software development covering distributed systems, and databases. Strong programming skills (Golang, python, C++ are preferable), as well as a deep understanding of software development best practices and principles. Strong knowledge of SQL and database internals, including experience with database design, optimization, and performance tuning. A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency. Ability to work collaboratively in a team environment, as well as communicate effectively with other teams across Cloudflare. Strong analytical and problem-solving skills, as well as the ability to work independently and proactively identify and solve issues. Experience with ClickHouse is a plus. Experience with SALT or Terraform is a plus. Experience with Linux container technologies, such as Docker and Kubernetes, is a plus. If you're passionate about building scalable and performant databases using cutting-edge technologies, and want to work with a world-class team of engineers, then we want to hear from you! Join us in our mission to help build a better internet for everyone! This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U. S. export control laws, including the U. S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U. S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.", "summaryDescription" : "Distributed Systems Engineer, Analytical Database Platform at Cloudflare. Skills: Distributed systems, Analytical database, ClickHouse. Develop platform components. Implement platform components", "postedDate" : "2026-06-14T09:12:53.966", "createdAt" : "2026-06-14T09:12:53.966", "lastUpdated" : "2026-06-15T11:22:56.393", "ingestTimestamp" : "2026-06-14T09:12:53.966", "mongoId" : "6a2c7c0774d8ee00a094c037", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Database internals", "Algorithms", "Data structures", "Concurrency", "Distributed systems", "Analytical database", "ClickHouse", "Software development", "Database design", "Performance tuning", "Data ingestion", "Cloudflare Analytics", "SALT", "Terraform", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799674d8ee00a0941f6c", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 85600.0, "max" : 135500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T10:20:45.279", "fingerprint" : "156807c2fbbc30bf8a17389c3b9b5a1dbc3753ac189b0357ff361719d56f6ce4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001186&gh_jid=8001186", "externalId" : "8001186", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency, Elasticsearch", "professionalSkills" : [ "Technical design", "System design" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency tuning" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency tuning", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Java, Elasticsearch", "majorSkillsList" : [ "Distributed systems", "Java", "Elasticsearch" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers, Work with others to develop components", "teamCollaboration" : "Working with others", "domainKnowledge" : "Distributed systems; Search AI; Elasticsearch Platform; Search; Security; Observability; Data stores; Indexing; Shards; Nodes; Petabytes; Cluster coordination; Data allocation; Data replication; Consensus algorithms", "domainList" : [ "distributed-systems", "search-ai", "elasticsearch-platform", "search", "security", "observability", "data-stores", "indexing", "shards", "nodes", "petabytes", "cluster-coordination", "data-allocation", "data-replication", "consensus-algorithms" ], "domainSpecificKnowledge" : [ "Distributed systems", "Search AI", "Elasticsearch Platform", "Search", "Security", "Observability", "Data stores", "Indexing", "Shards", "Nodes", "Petabytes", "Cluster coordination", "Data allocation", "Data replication", "Consensus algorithms" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Background in consensus algorithms, Skills in core Java, Conversant in standard library, Conversant in concurrency constructs, Conversant in newer language features, Deep technical proficiency in algorithms, Ability to understand complex systems, Ability to work on complex systems, Ability to understand highly distributed systems, Ability to work on highly distributed systems, Ability to build features with broad impact, Ability to debug features with broad impact, Ability to own projects from beginning to end, Ability to develop needed components", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge, Netty knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €85.600—€135.500 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Java, Elasticsearch. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-14T09:08:04.654", "createdAt" : "2026-06-14T09:08:04.654", "lastUpdated" : "2026-06-15T10:20:45.279", "ingestTimestamp" : "2026-06-14T09:08:04.654", "mongoId" : "6a2c799674d8ee00a0941f6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency tuning", "Java", "Elasticsearch", "Technical design", "System design", "Search AI", "Elasticsearch Platform", "Search", "Security", "Observability", "Data stores", "Shards", "Nodes", "Petabytes", "Data allocation", "Data replication" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799674d8ee00a0941f70", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 791300.0, "max" : 1251700.0, "currency" : "NOK", "frequency" : "yearly", "is_estimated" : false }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T12:14:23.325", "fingerprint" : "1b3e0f7e552fed2e3519846b54f4f6098acb57f6f6a61d601e081443b2f36723", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001189&gh_jid=8001189", "externalId" : "8001189", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency, Elasticsearch", "professionalSkills" : [ "Technical design", "System design" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency tuning" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency tuning", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Java, Elasticsearch", "majorSkillsList" : [ "Distributed systems", "Java", "Elasticsearch" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Own projects" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Indexing; Cluster coordination; Data allocation; Data replication; Shards; Nodes; Petabytes", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "indexing", "cluster-coordination", "data-allocation", "data-replication", "shards", "nodes", "petabytes" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Indexing", "Cluster coordination", "Data allocation", "Data replication", "Shards", "Nodes", "Petabytes" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Background in distributed systems, Background in consensus algorithms, Skills in core Java, Conversant in standard library, Conversant in concurrency constructs, Conversant in newer language features, Deep technical proficiency in algorithms, Ability to understand complex systems, Ability to work on complex systems, Ability to understand highly distributed systems, Ability to work on highly distributed systems, Ability to build features with broad impact, Ability to debug features with broad impact, Ability to own projects from beginning to end, Ability to develop needed components", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge, Netty knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 791.300 kr—1.251.700 kr NOK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Java, Elasticsearch. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-14T05:32:35.401", "createdAt" : "2026-06-14T05:32:35.401", "lastUpdated" : "2026-06-15T12:14:23.325", "ingestTimestamp" : "2026-06-14T05:32:35.401", "mongoId" : "6a2c799674d8ee00a0941f70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency tuning", "Java", "Elasticsearch", "Technical design", "System design", "Own projects", "Search AI Platform", "Data allocation", "Data replication", "Shards", "Nodes", "Petabytes" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f14", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 80400.0, "max" : 127200.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T05:24:59.298", "fingerprint" : "e3c66d8608446799230e15e6cac27acd58c3193918ce7547604e466e7207f644", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002562&gh_jid=8002562", "externalId" : "8002562", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene, JDK, Netty", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Algorithms", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Algorithms" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Search; Security; Observability; Data stores; Elasticsearch", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "search", "security", "observability", "data-stores", "elasticsearch" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Search", "Security", "Observability", "Data stores", "Elasticsearch" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to build and debug features, Experience managing projects", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge, Netty knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Algorithms. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-14T04:26:03.149", "createdAt" : "2026-06-14T04:26:03.149", "lastUpdated" : "2026-06-15T05:24:59.298", "ingestTimestamp" : "2026-06-14T04:26:03.149", "mongoId" : "6a2c799474d8ee00a0941f14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues", "Elasticsearch", "Java", "Algorithms", "Technical design", "Project management", "Search AI Platform", "Search", "Security", "Observability", "Data stores" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f04", "title" : "Principal Software Developer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 128300.0, "max" : 203000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T04:56:21.105", "fingerprint" : "88d4dbb0d434638acdeed21037d0207e47a243e2377d837bf881e39696ef6fad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7982102&gh_jid=7982102", "externalId" : "7982102", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Lucene, JDK, Netty", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Data replication", "Performance tuning", "Concurrency tuning" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Data replication", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency tuning", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Indexing", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Indexing" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Search AI Platform; Search; Security; Observability; Data stores; Elasticsearch; Cluster coordination; Data indexing; Data allocation; Data replication; CAP theorem", "domainList" : [ "distributed-systems", "search-ai-platform", "search", "security", "observability", "data-stores", "elasticsearch", "cluster-coordination", "data-indexing", "data-allocation", "data-replication", "cap-theorem" ], "domainSpecificKnowledge" : [ "Distributed systems", "Search AI Platform", "Search", "Security", "Observability", "Data stores", "Elasticsearch", "Cluster coordination", "Data indexing", "Data allocation", "Data replication", "CAP theorem" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Proficiency in data structures, Proficiency in concurrency constructs, Deep technical proficiency in algorithms, Ability to work on complex distributed systems, Ability to build and debug features, Ability to own projects end to end, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Developer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $128,300—$203,000 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Developer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Indexing. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-14T03:54:09.207", "createdAt" : "2026-06-14T03:54:09.207", "lastUpdated" : "2026-06-15T04:56:21.105", "ingestTimestamp" : "2026-06-14T03:54:09.207", "mongoId" : "6a2c799474d8ee00a0941f04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Data replication", "Performance tuning", "Concurrency tuning", "Elasticsearch", "Java", "Technical design", "Project management", "Search AI Platform", "Search", "Security", "Observability", "Data stores", "Cluster coordination", "Data indexing", "Data allocation", "CAP theorem" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f1a", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and the global nature of the role, reflecting 2024-2025 data." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T07:10:39.565", "fingerprint" : "cdc96c16aac965a97b404967139d6eb6422c87b0e90793c2b16dd813573096c7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7982100&gh_jid=7982100", "externalId" : "7982100", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene, JDK, Netty", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Algorithms", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Algorithms" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others; Develop needed components", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Elasticsearch; Indexing; Data allocation; Data replication; Cluster coordination; Data stores; Search; Analytics; Asynchronous event-driven network frameworks", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "elasticsearch", "indexing", "data-allocation", "data-replication", "cluster-coordination", "data-stores", "search", "analytics", "asynchronous-event-driven-network-frameworks" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Elasticsearch", "Indexing", "Data allocation", "Data replication", "Cluster coordination", "Data stores", "Search", "Analytics", "Asynchronous event-driven network frameworks" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Background in consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to work on complex distributed systems, Ability to build features with broad impact, Ability to debug features with broad impact, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Experience with asynchronous event-driven network frameworks, Experience with Netty", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100—$210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Algorithms. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-14T03:33:13.008", "createdAt" : "2026-06-14T03:33:13.008", "lastUpdated" : "2026-06-15T07:10:39.565", "ingestTimestamp" : "2026-06-14T03:33:13.008", "mongoId" : "6a2c799474d8ee00a0941f1a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency", "Elasticsearch", "Java", "Algorithms", "Technical design", "Project management", "Search AI Platform", "Data allocation", "Data replication", "Data stores", "Search", "Analytics", "Asynchronous event-driven network frameworks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9fa174d8ee00a09a02ac", "title" : "Distributed Training and Inference Engineer", "company" : "Sciforium", "industry" : "Engineering", "salary" : { "min" : 190000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T06:24:58.002", "fingerprint" : "de62a9b003de0a24b72103a3209e8e6725e57688b89a757691547cc43a0ea620", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sciforium/1471adc1-cf58-4174-8dc2-e8c0e29cfb17/application", "externalId" : "1471adc1-cf58-4174-8dc2-e8c0e29cfb17", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, JAX, PyTorch, CUDA, ROCm, NCCL, XLA", "professionalSkills" : [ "Systems engineering", "Performance optimization", "Systems integration", "Debugging complex issues" ], "hardSkillsList" : [ "Distributed training", "ML systems", "ML infrastructure", "Large-scale AI training", "Large-scale AI serving", "Multi-node distributed training", "Partitioning configuration" ], "hardSkills" : [ { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "ML systems", "level" : "intermediate" }, { "name" : "ML infrastructure", "level" : "intermediate" }, { "name" : "Large-scale AI training", "level" : "intermediate" }, { "name" : "Large-scale AI serving", "level" : "intermediate" }, { "name" : "Multi-node distributed training", "level" : "intermediate" }, { "name" : "Partitioning configuration", "level" : "intermediate" } ], "majorSkills" : "Distributed training, ML infrastructure, Systems engineering, Performance optimization", "majorSkillsList" : [ "Distributed training", "ML infrastructure", "Systems engineering", "Performance optimization" ], "coreResponsibilities" : "Maintain ML libraries, Update ML frameworks, Optimize ML libraries, Optimize ML frameworks, Build ML software stack, Maintain ML software stack, Improve ML software stack, Shard model implementations, Partition model implementations, Configure model implementations, Integrate modules, Validate modules, Profile compilation graphs, Profile training workloads, Profile runtime execution, Eliminate performance bottlenecks, Troubleshoot hardware-software issues, Collaborate with research teams, Collaborate with infrastructure teams, Collaborate with kernel engineering teams, Improve system throughput, Improve system stability, Improve developer experience", "teamCollaboration" : "Collaborate with research; Collaborate with infrastructure; Collaborate with kernel engineering", "domainKnowledge" : "Multimodal AI models; AI serving platform; Frontier AI models; Real-time applications; LLMs; Generative AI models; ML stack; CUDA runtimes; ROCm runtimes; Distributed systems; GPU clusters; Accelerator clusters; ML frameworks; Compilation internals; Custom lowering paths; Large-scale inference", "domainList" : [ "multimodal-ai-models", "ai-serving-platform", "frontier-ai-models", "real-time-applications", "llms", "generative-ai-models", "ml-stack", "cuda-runtimes", "rocm-runtimes", "distributed-systems", "gpu-clusters", "accelerator-clusters", "ml-frameworks", "compilation-internals", "custom-lowering-paths", "large-scale-inference" ], "domainSpecificKnowledge" : [ "Multimodal AI models", "AI serving platform", "Frontier AI models", "Real-time applications", "LLMs", "Generative AI models", "ML stack", "CUDA runtimes", "ROCm runtimes", "Distributed systems", "GPU clusters", "Accelerator clusters", "ML frameworks", "Compilation internals", "Custom lowering paths", "Large-scale inference" ], "toolProficiency" : [ "Nsight", "ROCm Profiler", "XLA profiler", "TPU tools", "VLLM", "TensorRT", "FasterTransformer" ], "problemSolvingSkills" : "Debugging complex issues; Troubleshooting; Performance analysis", "qualificationsBasic" : "5+ years industry experience, Bachelor's or Master's degree, Python, C++ programming, ML tooling familiarity, Distributed systems familiarity", "qualificationsPreferred" : "Extensive XLA/JAX stack experience, Familiarity with distributed serving, Familiarity with large-scale inference, GPU kernel optimization background, Accelerator-aware model partitioning background", "rawDescription" : "Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. ABOUT THE ROLE Sciforium is seeking a highly skilled Distributed Training and Inference Engineer to build, optimize, and maintain the critical software stack that powers our large-scale AI training and serving workloads. In this role, you will work across the entire machine learning infrastructure from low-level CUDA/ROCm runtimes to high-level frameworks like JAX and PyTorch to ensure our distributed training systems are fast, scalable, stable, and efficient. This position is ideal for someone who loves deep systems engineering, debugging complex hardware–software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models. WHAT YOU'LL DO - Software Stack Maintenance: Maintain, update, and optimize critical ML libraries and frameworks including JAX, PyTorch, CUDA, and ROCm across multiple environments and hardware configurations. - End-to-End Stack Ownership: Build, maintain, and continuously improve the entire ML software stack from ROCm/CUDA drivers to high-level JAX/PyTorch tooling. - Distributed System Optimization: Ensure all model implementations are efficiently sharded, partitioned, and configured for large-scale distributed training and serving. - System Integration: Continuously integrate and validate modules for runtime correctness, memory efficiency, and scalability across multi-node GPU/accelerator clusters. - Profiling & Performance Analysis: Conduct detailed profiling of compilation graphs, training workloads, and runtime execution to optimize performance and eliminate bottlenecks. - Debugging & Reliability: Troubleshoot complex hardware–software interaction issues, including vLLM compilation failures on ROCm, CUDA memory leaks, distributed runtime failures, and kernel-level inconsistencies. - Collaborate with research, infrastructure, and kernel engineering teams to improve system throughput, stability, and developer experience. IDEAL CANDIDATE PROFILE - 5+ years of industry experience in ML systems, distributed training, or related fields. - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields. - Strong programming experience in Python, C++, and familiarity with ML tooling and distributed systems. - Deep understanding of profiling tools (e.g., Nsight, ROCm Profiler, XLA profiler, TPU tools). - Deep expertise with partitioning configuration on the modern ML frameworks such as PyTorch and JAX. - Experience with multi-node distributed training systems and orchestration frameworks (DTensor, GSPMD, etc.). - Hands-on experience maintaining or building ML training stacks involving CUDA, ROCm, NCCL, XLA, or similar technologies. NICE-TO-HAVE - Extensive experience with the XLA/JAX stack, including compilation internals and custom lowering paths. - Familiarity with distributed serving or large-scale inference frameworks (e.g., vLLM, TensorRT, FasterTransformer). - Background in GPU kernel optimization or accelerator-aware model partitioning. - Strong understanding of low-level C++ building blocks used in ML frameworks (e.g., XLA, CUDA kernels, custom ops). BENEFITS INCLUDE - Medical, dental, and vision insurance - 401k plan - Daily lunch, snacks, and beverages - Flexible time off - Competitive salary and equity EQUAL OPPORTUNITY Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.", "summaryDescription" : "Distributed Training and Inference Engineer at Sciforium. Skills: Distributed training, ML infrastructure, Systems engineering, Performance optimization. Maintain ML libraries. 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Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Data indexing; Data allocation; Data replication; Cluster coordination; System liveness; System safety", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "data-indexing", "data-allocation", "data-replication", "cluster-coordination", "system-liveness", "system-safety" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Cluster coordination", "System liveness", "System safety" ], "toolProficiency" : [ "Netty" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to build and debug features, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-13T21:47:42.840", "createdAt" : "2026-06-13T21:47:42.840", "lastUpdated" : "2026-06-15T07:24:37.311", "ingestTimestamp" : "2026-06-13T21:47:42.840", "mongoId" : "6a2c799474d8ee00a0941f12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues", "Elasticsearch", "Java", "Technical design", "Project management", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "System liveness", "System safety", "Netty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f16", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, a global remote work mode, and the specific company size and industry." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-15T06:44:19.728", "fingerprint" : "b47d57a8fb006fd2ac66fc4c7d870ec9430cafcdd728dfe072f751f49e86bde6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7982099&gh_jid=7982099", "externalId" : "7982099", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Data structures, Concurrency constructs, Elasticsearch, Lucene", "professionalSkills" : [ "Technical design", "Project management" ], "hardSkillsList" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Consensus algorithms", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "Cluster coordination", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Concurrency issues", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java" ], "coreResponsibilities" : "Improve Elasticsearch components, Support concurrent indexing, Support consistent indexing, Maintain cluster coordination system, Keep performance high, Maintain safety properties, Maintain liveness properties, Push limits on shards, Push limits on nodes, Push limits on petabytes, Investigate performance issues, Investigate concurrency issues, Propose solutions, Support support engineers", "teamCollaboration" : "Working with others", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distributed systems; Consensus algorithms; Search AI Platform; Data indexing; Data allocation; Data replication; Cluster coordination; Network frameworks", "domainList" : [ "distributed-systems", "consensus-algorithms", "search-ai-platform", "data-indexing", "data-allocation", "data-replication", "cluster-coordination", "network-frameworks" ], "domainSpecificKnowledge" : [ "Distributed systems", "Consensus algorithms", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Cluster coordination", "Network frameworks" ], "toolProficiency" : [ "Netty" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Background in distributed systems, Experience with consensus algorithms, Skills in core Java, Deep technical proficiency in algorithms, Ability to understand complex distributed systems, Ability to build and debug features, Experience managing projects with multiple engineers", "qualificationsPreferred" : "Data stores knowledge, Search knowledge, Analytics knowledge, Lucene knowledge, JDK knowledge, Asynchronous event-driven network frameworks knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java. Improve Elasticsearch components. Support concurrent indexing", "postedDate" : "2026-06-13T20:15:31.768", "createdAt" : "2026-06-13T20:15:31.768", "lastUpdated" : "2026-06-15T06:44:19.728", "ingestTimestamp" : "2026-06-13T20:15:31.768", "mongoId" : "6a2c799474d8ee00a0941f16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Consensus algorithms", "Indexing", "Cluster coordination", "Performance tuning", "Concurrency issues", "Elasticsearch", "Java", "Technical design", "Project management", "Search AI Platform", "Data indexing", "Data allocation", "Data replication", "Network frameworks", "Netty" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69164d9e70f0b99d586f2f59", "title" : "Software Development Engineer, Consensus and Distributed Locking Systems, Transactional Services", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:41:40.064", "fingerprint" : "ccb3a079cb3385a29768f7970e8deed6ca02a330065e9b011e78f9c5550e3a1d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123284/apply", "externalId" : "ef224ba4-55b0-4d30-9509-3c9db97e3391", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Distributed systems, Cloud computing, AWS", "professionalSkills" : [ "System design", "Architectural decisions", "Operational excellence" ], "hardSkillsList" : [ "Distributed systems engineering", "High availability systems", "Durable systems" ], "hardSkills" : [ { "name" : "Distributed systems engineering", "level" : "intermediate" }, { "name" : "High availability systems", "level" : "intermediate" }, { "name" : "Durable systems", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Consensus systems, Locking systems", "majorSkillsList" : [ "Distributed systems", "Consensus systems", "Locking systems" ], "coreResponsibilities" : "Design, build, operate systems, Solve difficult problems, Apply appropriate technologies, Apply architectural patterns, Create maintainable software, Make appropriate trade-offs, Focus on operational excellence, Design technical decisions, Implement changes, Create automation, Improve system reliability, Improve operational efficiency, Work closely with teams, Enhance system capabilities, Resolve technical challenges, Drive investigations, Deliver robust solutions", "teamCollaboration" : "Collaborate with peers; Work with dependent teams", "domainKnowledge" : "Distributed consensus; Locks; Leader election; Group membership; Work distribution; Transactional services", "domainList" : [ "distributed-consensus", "locks", "leader-election", "group-membership", "work-distribution", "transactional-services" ], "domainSpecificKnowledge" : [ "Distributed consensus", "Locks", "Leader election", "Group membership", "Work distribution", "Transactional services" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, Programming with one language", "qualificationsPreferred" : "3+ years full software development lifecycle, Bachelor's degree in computer science, Knowledge of distributed computing environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the team that powers distributed consensus across AWS. We build and maintain the systems that enable distributed consensus for locks, leader election, group membership and work distribution across AWS. Our distributed computing primitives are part of the critical building blocks behind services like S3, DynamoDB, CloudWatch, and more. This role offers a unique opportunity to solve complex distributed systems challenges that impact services across AWS. We are looking for engineers who thrive on technical challenges and passionate about building highly available, durable systems with minimal dependencies. And collaborate with talented peers to design and implement robust solutions, make critical architectural decisions, and ensure operational excellence. If you are excited about distributed systems engineering, with the opportunity to build and operate systems with impact across AWS services, this role is for you. Key job responsibilities - You work with the team to design, build, and operate systems that are stable, highly available, and performant. - You solve difficult problems, applying appropriate technologies and architectural patterns. - You are proficient in a broad range of design approaches and know when it is appropriate to use them (and when it is not). Your solutions are pragmatic navigating constraints. - You create maintainable software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. - You focus on operational excellence, understanding how decisions impact operational costs, and take on projects that make software easier to maintain. A day in the life - Designing and driving technical decisions that balance competing priorities and constraints - Implementing changes at a high quality meeting stringent requirements for availability, durability, and performance - Creating and implementing automation that improve system reliability and operational efficiency - Working closely with dependent teams to enhance system capabilities and resolve technical challenges - Driving investigations to root cause anomalies, and delivering robust solutions About the team We are a team that believes in focused execution and collaboration. We concentrate our collective energy on 1-2 key initiatives, allowing us to deliver high-quality results through teamwork. Learning is central to our team’s operation - we're constantly sharing knowledge and growing together with technical deep-dives and demos. We love a good debate evaluating multiple perspectives and approaches to arrive at thoughtful decisions on critical questions. Operational excellence isn't just a goal - it's a critical requirement in our work. We strive for continuous improvement, believing that this pursuit strengthens both our systems and our engineering skills. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of distributed computing environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Consensus and Distributed Locking Systems, Transactional Services at Amazon.com Services LLC. Skills: Distributed systems, Consensus systems, Locking systems. Design, build, operate systems. Solve difficult problems", "postedDate" : "2026-06-12T23:03:56.075", "createdAt" : "2026-06-12T23:03:56.075", "lastUpdated" : "2026-06-15T00:41:40.064", "ingestTimestamp" : "2026-06-12T23:03:56.075", "mongoId" : "69164d9e70f0b99d586f2f59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123284/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems engineering", "High availability systems", "Durable systems", "Distributed systems", "Consensus systems", "Locking systems", "System design", "Architectural decisions", "Operational excellence", "Distributed consensus", "Locks", "Leader election", "Group membership", "Work distribution", "Transactional services" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164d8a70f0b99d586f2760", "title" : "Software Development Engineer, Consensus and Distributed Locking Systems, Transactional Services", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:28:06.586", "fingerprint" : "d1e48563c0c5f44ef9afa6a0940a2bfd38b4279f7fe079ee6eece2b24bd3ab0c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123285/apply", "externalId" : "f53ec247-3645-42e7-8dbc-68e4ea13eed1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS", "professionalSkills" : [ "Distributed systems", "System design", "Architectural patterns", "Operational excellence" ], "hardSkillsList" : [ "Distributed computing", "Locking systems", "Leader election", "Group membership", "Work distribution" ], "hardSkills" : [ { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "Locking systems", "level" : "intermediate" }, { "name" : "Leader election", "level" : "intermediate" }, { "name" : "Group membership", "level" : "intermediate" }, { "name" : "Work distribution", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Consensus systems, Transactional services", "majorSkillsList" : [ "Distributed systems", "Consensus systems", "Transactional services" ], "coreResponsibilities" : "Design, build, and operate systems, Solve difficult problems, Apply appropriate technologies, Apply architectural patterns, Create maintainable software, Make appropriate trade-offs, Re-use where possible, Focus on operational excellence, Design technical decisions, Implement changes, Create and implement automation, Work closely with dependent teams, Enhance system capabilities, Resolve technical challenges, Drive investigations to root cause, Deliver robust solutions", "teamCollaboration" : "Focused execution; Collaboration; Teamwork; Sharing knowledge; Evaluating perspectives; Arriving at decisions", "domainKnowledge" : "Distributed systems; Cloud computing; AWS services", "domainList" : [ "distributed-systems", "cloud-computing", "aws-services" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud computing", "AWS services" ], "continuousLearning" : "Technical deep-dives; Demos", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years professional software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the team that powers distributed consensus across AWS. We build and maintain the systems that enable distributed consensus for locks, leader election, group membership and work distribution across AWS. Our distributed computing primitives are part of the critical building blocks behind services like S3, DynamoDB, CloudWatch, and more. This role offers a unique opportunity to solve complex distributed systems challenges that impact services across AWS. We are looking for engineers who thrive on technical challenges and passionate about building highly available, durable systems with minimal dependencies. And collaborate with talented peers to design and implement robust solutions, make critical architectural decisions, and ensure operational excellence. If you are excited about distributed systems engineering, with the opportunity to build and operate systems with impact across AWS services, this role is for you. Key job responsibilities - You work with the team to design, build, and operate systems that are stable, highly available, and performant. - You solve difficult problems, applying appropriate technologies and architectural patterns. - You are proficient in a broad range of design approaches and know when it is appropriate to use them (and when it is not). Your solutions are pragmatic navigating constraints. - You create maintainable software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. - You focus on operational excellence, understanding how decisions impact operational costs, and take on projects that make software easier to maintain. A day in the life - Designing and driving technical decisions that balance competing priorities and constraints - Implementing changes at a high quality meeting stringent requirements for availability, durability, and performance - Creating and implementing automation that improve system reliability and operational efficiency - Working closely with dependent teams to enhance system capabilities and resolve technical challenges - Driving investigations to root cause anomalies, and delivering robust solutions About the team We are a team that believes in focused execution and collaboration. We concentrate our collective energy on 1-2 key initiatives, allowing us to deliver high-quality results through teamwork. Learning is central to our team’s operation - we're constantly sharing knowledge and growing together with technical deep-dives and demos. We love a good debate evaluating multiple perspectives and approaches to arrive at thoughtful decisions on critical questions. Operational excellence isn't just a goal - it's a critical requirement in our work. We strive for continuous improvement, believing that this pursuit strengthens both our systems and our engineering skills. About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Consensus and Distributed Locking Systems, Transactional Services at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Consensus systems, Transactional services. Design, build, and operate systems. Solve difficult problems", "postedDate" : "2026-06-12T22:59:43.993", "createdAt" : "2026-06-12T22:59:43.993", "lastUpdated" : "2026-06-15T01:28:06.586", "ingestTimestamp" : "2026-06-12T22:59:43.993", "mongoId" : "69164d8a70f0b99d586f2760", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123285/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed computing", "Locking systems", "Leader election", "Group membership", "Work distribution", "Distributed systems", "Consensus systems", "Transactional services", "System design", "Architectural patterns", "Operational excellence", "Cloud computing", "AWS services" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2d43a874d8ee00a0b43941", "title" : "Operating Partner", "company" : "Emergence", "industry" : "Operations", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director level Operating Partner in the Technology industry in New York, adjusted for seniority and company size." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T01:25:39.011", "fingerprint" : "2c5c783d2af38de733a1df200c8e036fd2d694ff0a7ea97385434b8da8d8b400", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/emergence/58f0a91c-1434-4125-8f69-36b15aac4925/application", "externalId" : "58f0a91c-1434-4125-8f69-36b15aac4925", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Value creation", "Execution workstreams", "Organizational restructuring", "Integration work", "Strategic board-level support", "P&L management", "Sales process redesign", "Data analysis" ], "hardSkillsList" : [ "Financial modeling", "Sales", "Revenue generation", "Process auditing" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Sales", "level" : "intermediate" }, { "name" : "Revenue generation", "level" : "intermediate" }, { "name" : "Process auditing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Operating discipline, Value creation, Execution, Metrics-driven decision making", "majorSkillsList" : [ "Operating discipline", "Value creation", "Execution", "Metrics-driven decision making" ], "coreResponsibilities" : "Design and run weekly operating cadence, Align portfolio company leadership teams, Partner with CEO and operating partner, Own highest-impact execution workstreams, Grab cross-functional projects, Run cross-functional projects to completion, Run operating conversations, Run offsites, Run diagnostic exercises, Move across portfolio companies, Embed at newly acquired companies, Translate strategy into operating discipline, Unlock value creation velocity", "teamCollaboration" : "Portfolio company leadership teams; CEO; Operating partner; Cross-functional projects; Management teams", "projectManagementSkills" : [ "Execution workstreams" ], "domainKnowledge" : "Software businesses; Category-defining software; SaaS; Fintech; Enterprise software", "domainList" : [ "software-businesses", "category-defining-software", "saas", "fintech", "enterprise-software" ], "domainSpecificKnowledge" : [ "Software businesses", "Category-defining software", "SaaS", "Fintech", "Enterprise software" ], "toolProficiency" : [ "Dashboards" ], "communicationSkills" : "CEO conversations", "documentationSkills" : "Operating artifact", "continuousLearning" : "Hungry to learn", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Diagnostic exercises", "specialRequirements" : "Onsite presence at portfolio company locations", "outcomesObjectives" : "Unlock value creation velocity; Drive sustainable ARR growth; Drive profitability improvements; Achieve industry-leading customer outcomes", "qualificationsBasic" : "7+ years hands-on operating role, Running a P&L, Owning meaningful operational scope, Early foundation in banking or management consulting, Transition into software or PE-backed operating role, Real commercial exposure, Personally sold, Owned a revenue line, Driven a sales process redesign, Hold a P&L conversation without notes, Ship the 80% version of an operating artifact, Comfortable moving between strategy-level CEO conversations and tactical execution, Think in metrics, Build dashboards to track progress, Make decisions based on data, Proven track record proving yourself, Hungry to learn", "qualificationsPreferred" : "MBA from a top-tier program, Equivalent scrappy startup experience, High-growth operating experience, Prior experience as an operating partner, Prior experience as COO, Prior experience as Chief of Staff, Prior experience as strategic advisor to PE portfolio company, Vertical expertise in SaaS, Vertical expertise in fintech, Vertical expertise in enterprise software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. We invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks. Emergence combines operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes. The Mission Embed at newly acquired companies to translate strategy into operating discipline and unlock value creation velocity. What You'll Do - Design and run the weekly operating cadence with KPIs, business reviews, and accountability loops from day one. - Align portfolio company leadership teams to the same scorecard and targets the deal team modeled at close. - Partner with the CEO and operating partner on the value creation plan, then own highest-impact execution workstreams. - Grab cross-functional projects that fall between silos (go-to-market refinement, organizational restructuring, integration work) and run them to completion. - Run the operating conversations, offsites, and diagnostic exercises the CEO needs but lacks time to organize. - Move across portfolio companies as post-close needs shift, rotating between deep operational embedding and strategic board-level support. What We're Looking For Must-haves - 7+ years hands-on operating role running a P&L or owning meaningful operational scope. - Early foundation in banking or management consulting, then transition into software or PE-backed operating role. - Real commercial exposure: you have personally sold, owned a revenue line, or driven a sales process redesign. - Ability to hold a P&L conversation without notes and ship the 80% version of an operating artifact. - Named a situation where things broke at work, explained your response, and articulated how it changed your approach. - Comfortable moving between strategy-level CEO conversations and tactical execution on a sales floor in the same day. - Think in metrics, build dashboards to track progress, and make decisions based on data. - Proven track record proving yourself - haven't yet reached C-level but striving to get there. - Hungry to learn on the job; don't need formal multi-week training programs. Nice-to-haves - MBA from a top-tier program or equivalent scrappy startup or high-growth operating experience. - Prior experience as an operating partner, COO, Chief of Staff, or strategic advisor to a PE portfolio company. - Vertical expertise in SaaS, fintech, or enterprise software that accelerates diagnostics. Who You Are You have spent years inside operating roles where real money was at stake and real customers depended on your execution. You are comfortable with ambiguity and you move fast without needing permission. You build systems others can run without you. You hire people smarter than you in their domain and you defer to their judgment. You pull data into conversations, not opinions. You reverse course when evidence contradicts your recommendation. You audit critical processes yourself rather than accepting management assertions. You establish standards and enforce them. You've seen things go wrong at work and stayed composed. You want to lead a business someday, and you see this role as the accelerant to get there. What We Offer - Attractive Salary plus performance bonus. - Equity upside aligned with the portfolio companies you help scale. - Based in New York with onsite presence at portfolio company locations. - You will work across multiple businesses and gain broad operating experience faster than most traditional corporate roles allow.", "summaryDescription" : "Operating Partner at Emergence. Skills: Operating discipline, Value creation, Execution, Metrics-driven decision making. Design and run weekly operating cadence. Align portfolio company leadership teams", "createdAt" : "2026-06-14T19:40:14.839", "lastUpdated" : "2026-06-16T01:25:39.011", "ingestTimestamp" : "2026-06-14T19:40:14.839", "mongoId" : "6a2d43a874d8ee00a0b43941", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 600000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Sales", "Revenue generation", "Process auditing", "Leadership", "Critical thinking", "Operating discipline", "Value creation", "Execution", "Metrics-driven decision making", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Execution workstreams", "Organizational restructuring", "Integration work", "Strategic board-level support", "P&L management", "Sales process redesign", "Data analysis", "Software businesses", "Category-defining software", "SaaS", "Fintech", "Enterprise software", "Dashboards" ], "skillCount" : 30, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c8d8374d8ee00a0979318", "title" : "Manager, Engineering, Secure Build", "company" : "Docker", "industry" : "Engineering", "salary" : { "min" : 244550.0, "max" : 392150.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Canada", "locations" : [ "Canada", "United States" ], "timestamp" : "2026-06-15T09:06:07.262", "fingerprint" : "95dd1e226858c9321905110684e1b43f4f765cffd0ccdf63b8903dffebe8d61e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docker/a6eb0b73-d10e-4d2c-8f94-173f5584bef8/application", "externalId" : "a6eb0b73-d10e-4d2c-8f94-173f5584bef8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Go, Docker, Kubernetes", "professionalSkills" : [ "Delivery ownership", "Operational excellence", "Technical direction", "Team growth", "Performance management", "Cross-functional alignment" ], "hardSkillsList" : [ "Build systems operation", "Secure build infrastructure", "Micro-VM sandbox execution" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Build systems operation", "level" : "intermediate" }, { "name" : "Secure build infrastructure", "level" : "intermediate" }, { "name" : "Micro-VM sandbox execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Secure build, CI/CD, Cloud infrastructure", "majorSkillsList" : [ "Secure build", "CI/CD", "Cloud infrastructure" ], "coreResponsibilities" : "Lead senior engineers, Operate build systems, Build secure build infrastructure, Own delivery, Turn roadmap into plan, Execute predictably, Get team process right, Partner with Product, Turn strategy into roadmap, Stay deep in technical work, Be active in design, Be hands-on in code, Set team technical direction, Give team room to own, Be accountable for reliability, Ensure operational excellence, Own engineer growth, Own engineer development, Own engineer performance, Hire to strengthen team, Work across wider org, Align the team, Shield team from churn, Hold registry mechanics", "teamCollaboration" : "Partnering with Product; Work across wider org; Cross-functional alignment", "projectManagementSkills" : [ "Roadmap planning", "Delivery planning" ], "domainKnowledge" : "Container builds; Secure CI; Build runner; Micro-VM sandbox; Supply chain security; Build pipeline security; Regulated environments; Air-gapped environments", "domainList" : [ "container-builds", "secure-ci", "build-runner", "micro-vm-sandbox", "supply-chain-security", "build-pipeline-security", "regulated-environments", "air-gapped-environments" ], "domainSpecificKnowledge" : [ "Container builds", "Secure CI", "Build runner", "Micro-VM sandbox", "Supply chain security", "Build pipeline security", "Regulated environments", "Air-gapped environments" ], "toolProficiency" : [ "Docker Build Cloud", "Docker Hub" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Training stipend; Conferences; Courses; Classes", "problemSolvingSkills" : "Unblocking", "specialRequirements" : "On-call rotation", "outcomesObjectives" : "Deliver against roadmap; Operate production systems reliably; Grow engineers in capability; Grow engineers in number", "qualificationsBasic" : "Experience operating production infrastructure, On-call, Incident response, SLOs, High-traffic services healthy, Leading distributed remote-first team, Written and verbal communication, Habit of staying close to customers, Hands-on familiarity with Go", "qualificationsPreferred" : "Deep understanding of supply-chain security", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns and runs Docker Build Cloud and Docker's Hub build systems, which run millions of builds a year for hundreds of organisations, and is building the next generation of that: secure, sandboxed CI that isolates each build step and produces hardened images with strong, verifiable provenance, including for customers in regulated and air-gapped environments. A current focus is a hardened build runner that executes each workflow step inside its own micro-VM sandbox. We're looking for an Engineering Manager to lead this team. It's a small, very senior group that recently came together, with strong technical leadership spread across it. You'll own the team's delivery, growth, and operational excellence, keep its high-scale production systems healthy, and be a real part of setting the team's technical direction alongside the engineers who lead on different parts of the system. THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They're an experienced engineering manager at their best turning a senior team into a high-performing, value-delivering part of the wider Docker org: getting the process and team mechanics right, partnering well with Product, and navigating the personalities on and around the team. What sets them apart is that they stay deep in the technical work rather than steering from a distance. They're active in technical design and in the PRs, they help shape the technical direction, and they're happy to pick up code where it moves things forward. We're not after a 50-50 player-coach, and we're not after someone who's left the engineering behind either; the balance tilts to leading, but they're hands-on enough to be properly in the detail with the team. The team has strong technical leadership across it, and direction is set together rather than by any one person, so this isn't about being the best engineer in the room or the deepest supply-chain-security expert. It's about being engaged and credible enough to be a real part of how the team sets its direction, not standing apart from it. They care about security broadly: how modern attacks actually work, the OWASP Top 10, and where a build pipeline is exposed. They lead through judgement, unblocking, and direction-setting rather than process for its own sake, because that's what a senior, autonomy-heavy team responds to. They're comfortable owning the operational reality of production systems and on-call, and they're energised rather than thrown by ambiguity. Above all they care about growing the engineers around them and shipping something customers actually trust. RESPONSIBILITIES: - Lead a team of senior engineers operating Docker Build Cloud and Hub's build systems and building Docker's next generation of secure build infrastructure. - Own delivery: turn an ambiguous, high-stakes roadmap, including time-bound commitments to regulated and federal customers, into a concrete plan the team can execute predictably. - Get the team's process and mechanics right, and partner closely with Product to turn strategy into a roadmap the team believes in. - Stay deep in the technical work: active in design discussions and code review, hands-on in the code where it helps, rather than steering from a distance. - Be a real part of setting the team's technical direction, working with the engineers who lead on different parts of the system, while giving the whole team room to own technical decisions. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Be accountable for the reliability and operational excellence of the team's production services, including a healthy, humane on-call rotation. - Own the growth, development, and performance of each engineer on the team, and hire to strengthen it. - Work across the wider org - Product, sales, commercial and legal, the Hub/registry team, and security - to align the team and shield it from churn. - Hold a high bar for engineering excellence and raise the team's security hygiene. QUALIFICATIONS - 5+ years managing high-performing engineering teams, including engineers at or above their own level of technical seniority, with a track record of growing and retaining senior individual contributors. - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - A leader first: strong on team process and mechanics, on partnering with Product, and on reading and navigating the personalities on and around a team to make it more than the sum of its parts. - Comfortable inheriting a team they didn't build: earning the trust of experienced engineers, and owning the full range of performance conversations, including the difficult ones, fairly and directly. - Technically deep and still hands-on: recent enough engineering chops to be active in design and code review, be a real part of setting technical direction with the team, and write code where it helps. Not the best engineer in the room or the deepest domain expert, but not a manager who's left the technical detail behind either. - A strong interest in security: how recent attacks have actually worked, the OWASP Top 10, and the build threat model. Familiarity with software supply chain security (SLSA, in-toto, provenance, signing such as cosign, SBOMs, vulnerability scanning) is valued, but we care more about security instinct and appetite than a checklist of tools. - Understanding of CI/CD and build-system internals, container images and image hardening, and OCI registry mechanics. - Experience operating production infrastructure: on-call, incident response, SLOs, and the realities of keeping high-traffic services healthy. - Comfortable leading a distributed, remote-first team across European and US time zones, with a high degree of autonomy. - Strong written and verbal communication, and a habit of staying close to customers. - Hands-on familiarity with Go is a plus; it's the team's primary language. WHAT TO EXPECT FIRST 30 DAYS Get to know the team, the systems, and the commitments before changing anything. Build relationships with each engineer, understand the roadmap and what the team is building, and get hands-on enough with Build Cloud and the inherited systems to understand the on-call load you're taking on. FIRST 90 DAYS. Own the delivery plan with the team and Product. Get the on-call rotation to a healthy, sustainable place. Be the team's point of contact across the wider org. ONE YEAR OUTLOOK The team is delivering against its roadmap and operating its production systems reliably, the on-call and delivery cadence are sustainable, and the team is growing both in capability and in number. Docker considers visa sponsorship on a case-by-case basis based on business needs. Perks - Freedom & flexibility; fit your work around your life - Designated quarterly Whaleness Days plus end of year Whaleness break - Home office setup; we want you comfortable while you work - 16 weeks of paid Parental leave (after 6 months of employment) - Technology stipend equivalent to $100 USD net/month - PTO plan that encourages you to take time to do the things you enjoy - Training stipend for conferences, courses and classes - Equity; we are a growing start-up and want all employees to have a share in the success of the company - Docker Swag - Medical benefits, retirement and holidays vary by country - Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE", "summaryDescription" : "Manager, Engineering, Secure Build at Docker. 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Do you like to be creative, solving challenges with innovative ideas? This is an opportunity to work with many teams that support the U.S. Intelligence Community. Do you feel passionate about operating secure facilities using structured project management methodologies? The mission of the Region Services Corporate Infrastructure (RSCI) Team to own and drive strategic, operational and tactical initiatives that improve US Amazon Dedicated Cloud (ADC) operations by planning, designing, operating, and managing Remote Management Facilities (RMFs). Our team is looking for an experienced Secure Facility Operations Manager (SFOM). SFOM's lead daily facility operations, security, and continuity of operations (COOP). This role requires someone with strong relationship building skills. Someone who will work with stakeholders on strategic planning/projects. The SFOM will develop mechanisms to work across various organizations. The SFOM will define and execute plans for facility maintenance of critical infrastructure and other operational components. The SFOM will play a critical role in partnering with a group of diverse teams to meet team and business level objectives. The ideal SFOM will have facility operations, critical infrastructure, and process improvement experience. You must be comfortable managing remote project delivery teams. Have the ability to hold technical discussions to troubleshoot project management issues. Be willing to find ways to remove barriers to project success. This position is essential and SFOM's have after hours on-call responsibilities. This position requires that the candidate selected must be a US Citizen and currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities ● Manage daily facility operations and customer requests ● Prioritize and execute tasks ● Document writing and presentations up to the director level ● Serve as Facility Manager responsible for developing plans and programs ● Support and develop budgetary requirements for the operation and maintenance of the facility ● Ensure maintenance, alterations and repairs of the facility are complete and correct ● Maintain alternate work location facilities with other SFOM's ● Serve as the primary coordinator of secured facility emergency actions and planning ● Submit work orders, maintain area security, provide escorting when required ● Develop and maintain facility operations, procedures, and blueprints ● Manage one or more functions for alternate work facilities. Acquisition, maintenance, and disposal phases in support of COOP A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, and conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. About the team The Region Services Corporate Infrastructure; Secure Facility Operations (SFO) Team owns and drives strategic, operational and tactical initiatives that improve US Amazon Dedicated Cloud (ADC) operations by planning, designing, operating, and managing Remote Management Facilities (RMFs). Basic Qualifications: - Bachelor's degree in a related discipline with 5+ years experience or 10+ years experience in secure facility management in lieu of degree - 5+ years managing many large scale/complex secure facility maintenance programs. (HVAC, Electrical, computer equipment rooms) - Ability to read and comprehend blueprints - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Master's Degree or 15+ years' experience insecure facility management - Experience in managing, designing, building and operating critical building infrastructure. (e.g.,HVAC/Mechanical, Electrical, Telecom) - Experience managing vendor contracts and secure facility budgets - Problem solving and organizational skills - Ability to set priorities, deliver results based on goals, and understand complex problems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Secure Facility Operations Manager (SFOM), RSCI - Secure Facility Operations (SFO) at Amazon Development Center U.S., Inc.. Skills: Facility operations, Security management, Continuity of operations. Manage daily facility operations. 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Develop and implement operational strategies", "createdAt" : "2026-06-14T18:38:15.328", "lastUpdated" : "2026-06-16T01:37:03.488", "ingestTimestamp" : "2026-06-14T18:38:15.328", "mongoId" : "6a191d8c58b93c861e396890", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Operations management", "Strategic planning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Heavy equipment industry", "Construction market", "Infrastructure market", "Industrial markets" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a478874d8ee00a05daa49", "title" : "Senior Software Engineer, Operating Systems", "company" : "Agility Robotics", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer, Operating Systems in Salem, United States, adjusted for seniority and industry." }, "location" : "Remote, Oregon, United States", "locations" : [ "Remote", "Oregon", "United States" ], "timestamp" : "2026-06-14T23:48:12.255", "fingerprint" : "c3813826102407678c779dfd45202657e02a91fd21129da3db9380a41aab1e5b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.agilityrobotics.com/about/job-post?gh_jid=6016370004", "externalId" : "6016370004", "structuredLocations" : [ { "city" : "Salem", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "44.9391565,-123.0331210" }, { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4406968,-80.0025666" }, { "city" : "Fremont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.5482697,-121.9885710" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Salem, Oregon, United States; Pittsburgh, Pennsylvania, United States; Fremont, California, United States; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Linux, systemd, k3s", "professionalSkills" : [ "OS development", "System orchestration", "Service management", "Software update mechanisms", "Code quality", "Automated testing", "Low-level issues", "Hardware-software integration", "Developer tooling", "Best practices" ], "hardSkillsList" : [ "OS image generation", "Linux kernel development", "Embedded Linux", "Systems programming", "Service orchestration", "Software updates", "Provisioning scripts", "Commissioning scripts" ], "hardSkills" : [ { "name" : "OS image generation", "level" : "intermediate" }, { "name" : "Linux kernel development", "level" : "intermediate" }, { "name" : "Embedded Linux", "level" : "intermediate" }, { "name" : "Systems programming", "level" : "intermediate" }, { "name" : "Service orchestration", "level" : "intermediate" }, { "name" : "Software updates", "level" : "intermediate" }, { "name" : "Provisioning scripts", "level" : "intermediate" }, { "name" : "Commissioning scripts", "level" : "intermediate" } ], "majorSkills" : "Operating System Development, Linux Kernel, Systemd, k3s", "majorSkillsList" : [ "Operating System Development", "Linux Kernel", "Systemd", "k3s" ], "coreResponsibilities" : "Build operating system images, Maintain operating system images, Develop bootloaders, Develop kernels, Develop device drivers, Develop system libraries, Own technical projects, Manage service orchestration, Implement secure service access, Develop update mechanisms, Create provisioning scripts, Create commissioning scripts, Write clean code, Write maintainable code, Contribute to code reviews, Contribute to automated testing, Troubleshoot low-level issues, Focus on OS bugs, Focus on hardware-software integration, Collaborate with manufacturing engineers, Collaborate with test engineers, Collaborate with robot software engineers, Implement needed features, Implement needed interfaces, Contribute to developer tooling evolution, Improve team velocity, Improve software quality", "teamCollaboration" : "Cross-functional support; Agile team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Robotics; Autonomous systems; Embedded Linux; Operating systems; Bootloaders; Kernels; Device drivers; Filesystems; Service management; OTA updates", "domainList" : [ "robotics", "autonomous-systems", "embedded-linux", "operating-systems", "bootloaders", "kernels", "device-drivers", "filesystems", "service-management", "ota-updates" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous systems", "Embedded Linux", "Operating systems", "Bootloaders", "Kernels", "Device drivers", "Filesystems", "Service management", "OTA updates" ], "toolProficiency" : [ "systemd", "k3s", "Bazel" ], "communicationSkills" : "Communication", "continuousLearning" : "Mentorship; Technical excellence; Professional development; Tuition reimbursement", "problemSolvingSkills" : "Troubleshooting; Debugging", "qualificationsBasic" : "5+ years OS image generation, 5+ years Linux kernel development, 5+ years embedded Linux, Implement complex features, Proficiency in modern Python, Systems programming on Linux, Linux kernel development, Bootloaders, Device drivers, Service orchestration systemd, Translate requirements to code, Excellent communication skills, Excellent collaboration skills", "qualificationsPreferred" : "Robotics industry experience, Kubernetes experience, Bazel experience, Build systems experience, Hardware-in-the-loop testing, Nvidia driver management, Nvidia library management", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role Our software team is growing and we are looking for talented engineers to join our agile, world-class team. Our Robot Platform team is the foundational core of our product, dedicated to providing a robust, reliable, and secure software substrate that accelerates all robot feature development. We own the critical layers that all other software teams build upon: operating system images, bootloaders, kernels, device drivers, and filesystems. As a Senior Software Engineer, you will be a key contributor to the Robot Platform team, focusing on the ownership and delivery of mission-critical operating system components. You will work within established architectural patterns to build and maintain the service management (systemd, k3s) and update mechanisms that power our robots. This role offers the opportunity to tackle complex technical challenges, from optimizing kernel performance to ensuring secure installation and updating mechanisms on our physical systems in the field. Key Responsibilities Software Development & Execution: Operating System Development: Build and maintain the operating system images used on robots and edge devices, including the bootloader, kernel, device drivers, filesystems, and system libraries. System Orchestration & Security: Take ownership of technical projects within the robot platform stack, including: Service management and orchestration systems using systemd and k3s. Secure local and remote service access mechanisms. Robust installation and over-the-air (OTA) software update mechanisms. Provisioning and commissioning scripts for core device environments. Code Quality & Reliability: Write clean and maintainable code, while contributing to thorough code reviews and automated testing suites. Debugging & Troubleshooting: Actively troubleshoot complex low-level issues across the robot software stack, focusing on OS-level bugs and hardware-software integration challenges. Team Collaboration: Cross-functional Support: Collaborate with manufacturing, test, and robot software engineers to implement the features and interfaces they need to succeed. Continuous Improvement: Contribute to the evolution of our developer tooling and internal best practices to improve team velocity and software quality. Required Qualifications 5+ years of professional experience with OS image generation, Linux kernel development, and embedded Linux environments. Strong background in implementing complex features within large-scale software systems, preferably in robotics or autonomous systems. Proficiency in modern Python and systems programming on Linux. Experience with Linux kernel development, bootloaders, device drivers, and service orchestration using systemd and similar service management systems. Ability to take high-level project requirements and translate them into efficient, well-tested code. Excellent communication and collaboration skills for working within a fast-paced agile team. Bonus Qualifications Robotics industry experience Experience using Kubernetes Bazel and similar build systems Hardware-in-the-loop testing Nvidia driver and library management Why This Role? Impactful Work: Everything you build will be used by engineers across the company every day. Physical Impact: Your software decisions directly affect real robots operating in dynamic environments. Collaboration: Work closely with robotics, cloud platform, and solutions engineers on mission-critical workflows. Engineering Culture: Remote-friendly with a strong emphasis on developer experience, mentorship, and technical excellence. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $155,000—$241,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us", "summaryDescription" : "Senior Software Engineer, Operating Systems at Agility Robotics. Skills: Operating System Development, Linux Kernel, Systemd, k3s. Build operating system images. 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Pittsburgh, Pennsylvania, United States; Fremont, California, United States; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Linux, systemd, k3s, Kubernetes", "professionalSkills" : [ "OS development", "System orchestration", "Service management", "Software update mechanisms", "Code quality", "Automated testing", "Low-level issues", "Hardware-software integration", "Developer tooling", "Best practices" ], "hardSkillsList" : [ "OS image generation", "Linux kernel development", "Embedded Linux", "Systems programming", "Service orchestration", "Device drivers", "Bootloaders", "Filesystems", "System libraries" ], "hardSkills" : [ { "name" : "OS image generation", "level" : "intermediate" }, { "name" : "Linux kernel development", "level" : "intermediate" }, { "name" : "Embedded Linux", "level" : "intermediate" }, { "name" : "Systems programming", "level" : "intermediate" }, { "name" : "Service orchestration", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Bootloaders", "level" : "intermediate" }, { "name" : "Filesystems", "level" : "intermediate" }, { "name" : "System libraries", "level" : "intermediate" } ], "majorSkills" : "Operating Systems, Linux Kernel, Embedded Linux, Systemd", "majorSkillsList" : [ "Operating Systems", "Linux Kernel", "Embedded Linux", "Systemd" ], "coreResponsibilities" : "Build operating system images, Maintain operating system images, Develop bootloaders, Develop kernels, Develop device drivers, Develop filesystems, Develop system libraries, Take ownership of technical projects, Manage service orchestration systems, Implement secure service access, Develop robust installation mechanisms, Develop over-the-air software updates, Develop provisioning scripts, Develop commissioning scripts, Write clean code, Write maintainable code, Contribute to code reviews, Contribute to automated testing, Troubleshoot low-level issues, Troubleshoot OS-level bugs, Troubleshoot hardware-software integration, Collaborate with manufacturing engineers, Collaborate with test engineers, Collaborate with robot software engineers, Contribute to developer tooling evolution, Improve team velocity, Improve software quality", "teamCollaboration" : "Cross-functional support; Agile team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Robotics; Autonomous systems; Operating systems; Embedded Linux; Bootloaders; Kernels; Device drivers; Filesystems; Service management; OTA updates", "domainList" : [ "robotics", "autonomous-systems", "operating-systems", "embedded-linux", "bootloaders", "kernels", "device-drivers", "filesystems", "service-management", "ota-updates" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous systems", "Operating systems", "Embedded Linux", "Bootloaders", "Kernels", "Device drivers", "Filesystems", "Service management", "OTA updates" ], "toolProficiency" : [ "systemd", "k3s", "Kubernetes", "Bazel" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Professional development; Tuition reimbursement", "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "5+ years OS image generation, 5+ years Linux kernel development, 5+ years embedded Linux, Implement complex features, Proficiency in modern Python, Systems programming on Linux, Linux kernel development, Bootloaders, Device drivers, Service orchestration using systemd, Translate high-level requirements to code, Excellent communication skills, Excellent collaboration skills", "qualificationsPreferred" : "Robotics industry experience, Kubernetes experience, Bazel experience, Build systems experience, Hardware-in-the-loop testing, Nvidia driver management, Nvidia library management", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role Our software team is growing and we are looking for talented engineers to join our agile, world-class team. Our Robot Platform team is the foundational core of our product, dedicated to providing a robust, reliable, and secure software substrate that accelerates all robot feature development. We own the critical layers that all other software teams build upon: operating system images, bootloaders, kernels, device drivers, and filesystems. As a Senior Software Engineer, you will be a key contributor to the Robot Platform team, focusing on the ownership and delivery of mission-critical operating system components. You will work within established architectural patterns to build and maintain the service management (systemd, k3s) and update mechanisms that power our robots. This role offers the opportunity to tackle complex technical challenges, from optimizing kernel performance to ensuring secure installation and updating mechanisms on our physical systems in the field. Key Responsibilities Software Development & Execution: Operating System Development: Build and maintain the operating system images used on robots and edge devices, including the bootloader, kernel, device drivers, filesystems, and system libraries. System Orchestration & Security: Take ownership of technical projects within the robot platform stack, including: Service management and orchestration systems using systemd and k3s. Secure local and remote service access mechanisms. Robust installation and over-the-air (OTA) software update mechanisms. Provisioning and commissioning scripts for core device environments. Code Quality & Reliability: Write clean and maintainable code, while contributing to thorough code reviews and automated testing suites. Debugging & Troubleshooting: Actively troubleshoot complex low-level issues across the robot software stack, focusing on OS-level bugs and hardware-software integration challenges. Team Collaboration: Cross-functional Support: Collaborate with manufacturing, test, and robot software engineers to implement the features and interfaces they need to succeed. Continuous Improvement: Contribute to the evolution of our developer tooling and internal best practices to improve team velocity and software quality. Required Qualifications 5+ years of professional experience with OS image generation, Linux kernel development, and embedded Linux environments. Strong background in implementing complex features within large-scale software systems, preferably in robotics or autonomous systems. Proficiency in modern Python and systems programming on Linux. Experience with Linux kernel development, bootloaders, device drivers, and service orchestration using systemd and similar service management systems. Ability to take high-level project requirements and translate them into efficient, well-tested code. Excellent communication and collaboration skills for working within a fast-paced agile team. Bonus Qualifications Robotics industry experience Experience using Kubernetes Bazel and similar build systems Hardware-in-the-loop testing Nvidia driver and library management Why This Role? Impactful Work: Everything you build will be used by engineers across the company every day. Physical Impact: Your software decisions directly affect real robots operating in dynamic environments. Collaboration: Work closely with robotics, cloud platform, and solutions engineers on mission-critical workflows. Engineering Culture: Remote-friendly with a strong emphasis on developer experience, mentorship, and technical excellence. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $155,000—$241,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us", "summaryDescription" : "Senior Software Engineer, Operating Systems at Agility Robotics. Skills: Operating Systems, Linux Kernel, Embedded Linux, Systemd. Build operating system images. Maintain operating system images", "postedDate" : "2026-06-11T17:49:58.998", "createdAt" : "2026-06-11T17:49:58.998", "lastUpdated" : "2026-06-13T21:19:50.767", "ingestTimestamp" : "2026-06-11T17:49:58.998", "mongoId" : "6a2a491774d8ee00a05e3950", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "OS image generation", "Linux kernel development", "Embedded Linux", "Systems programming", "Service orchestration", "Device drivers", "Bootloaders", "Filesystems", "System libraries", "Operating Systems", "Linux Kernel", "Systemd", "OS development", "System orchestration", "Service management", "Software update mechanisms", "Code quality", "Automated testing", "Low-level issues", "Hardware-software integration", "Developer tooling", "Best practices", "Agile", "Robotics", "Autonomous systems", "Operating systems", "Kernels", "OTA updates", "systemd", "k3s", "Kubernetes", "Bazel" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6c3974d8ee00a091791d", "title" : "Senior System Reliability Engineer", "company" : "Beyond ONE", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior System Reliability Engineer in Lahore, Pakistan, adjusted for the technology industry and full-time employment." }, "location" : "Lahore, Punjab, Pakistan", "locations" : [ "Lahore", "Punjab", "Pakistan" ], "timestamp" : "2026-06-16T02:07:45.447", "fingerprint" : "a1e1c72f381c7ecb6a95f5502ed51c9d26bb619862e96f6c3e5b4814d33d6f0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/beyondone/jobs/4808761101", "externalId" : "4808761101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lahore", "state" : "Punjab", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "31.5656822,74.3141829" }, { "country" : "United Arab Emirates", "continent" : "as", "workMode" : "hybrid" } ], "locationText" : "Lahore, Punjab, Pakistan; United Arab Emirates", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Go, Bash, Linux, AWS, GCP, Kubernetes, Prometheus, Grafana, ELK, Terraform, OpenShift, OKD, Rancher Stack, Dynatrace, SIG, OpenTelemetry, Virtualization", "professionalSkills" : [ "System design", "Infrastructure management", "Automation", "Observability", "Incident management", "Performance tuning", "Deployment", "Monitoring", "Reliability engineering" ], "hardSkillsList" : [ "Infrastructure-as-code", "Self-healing systems", "Chaos engineering" ], "softSkillsList" : [ "Decision-making", "Pragmatic mindset" ], "hardSkills" : [ { "name" : "Infrastructure-as-code", "level" : "intermediate" }, { "name" : "Self-healing systems", "level" : "intermediate" }, { "name" : "Chaos engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Decision-making" }, { "name" : "Pragmatic mindset" } ], "majorSkills" : "System Reliability Engineering, DevOps, Cloud Platforms, Automation", "majorSkillsList" : [ "System Reliability Engineering", "DevOps", "Cloud Platforms", "Automation" ], "coreResponsibilities" : "Lead automation and tooling development, Improve deployment, monitoring, incident resolution, Ensure system efficiency and scalability, Collaborate with platform teams, Collaborate with product teams, Collaborate with security teams, Drive adoption of reliability best practices, Manage on-call responsibilities, Manage incident management processes, Ensure rapid detection and resolution, Drive implementation of observability strategies, Contribute to infrastructure-as-code, Contribute to self-healing systems, Improve system performance and availability, Participate in architectural reviews, Participate in chaos engineering initiatives, Build resilient systems", "teamCollaboration" : "Platform teams; Product teams; Security teams", "domainKnowledge" : "High-availability systems; Large-scale environments; Digital services platform; Telco foundation; Personalised digital ecosystems; Cloud-native architecture", "domainList" : [ "high-availability-systems", "large-scale-environments", "digital-services-platform", "telco-foundation", "personalised-digital-ecosystems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "High-availability systems", "Large-scale environments", "Digital services platform", "Telco foundation", "Personalised digital ecosystems", "Cloud-native architecture" ], "toolProficiency" : [ "Prometheus", "Grafana", "ELK", "Terraform", "OpenShift", "OKD", "Rancher Stack", "Dynatrace", "SIG", "OpenTelemetry" ], "communicationSkills" : "Pragmatic mindset", "continuousLearning" : "Rapid learning opportunities; Flexible career paths", "innovationCreativity" : "Rebellious spirit; Questioning mind", "problemSolvingSkills" : "Scaling complex systems", "specialRequirements" : "On-call responsibilities", "outcomesObjectives" : "Lead automation initiatives; Lead observability initiatives; Reduce manual operational tasks; Improve system uptime", "qualificationsBasic" : "Bachelor's degree in Computer Science, 6+ years in SRE/DevOps/Infrastructure, Proficiency in Python, Go, Bash, Linux and networking fundamentals, Experience with AWS, GCP, Experience with Kubernetes, Experience with Prometheus, Grafana, ELK, Infrastructure-as-code experience (Terraform)", "qualificationsPreferred" : "Familiarity with OpenShift, OKD, Rancher Stack, Knowledge of Dynatrace, SIG, OpenTelemetry, Hands-on experience with virtualization, Familiarity with incident response tools, Familiarity with performance testing, Familiarity with capacity planning", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We don’t think about job roles in a traditional way. We are anti-silo. Anti-career stagnation. Anti-conventional. Beyond ONE is a digital services provider radically reshaping the personalised digital ecosystems of consumers in high growth markets around the world. We’re building a digital services aggregator platform, with a strong telco foundation, and a profitable growth strategy that empowers users to drive their own experience—subscribe once, source from many, and only pay for what you actually use. Since being founded in 2021, we’ve acquired Virgin Mobile MEA, Friendi Mobile MEA and Virgin Mobile LATAM (with 6.5 million subscribers) and 1600 dedicated colleagues across Chile, Colombia, KSA, Kuwait, Mexico, Oman, Pakistan and UAE. To disrupt for good takes a rebellious spirit, a questioning mind and a warm heart. We really care about how to get things done and not who manages who. We benefit from our diversity, and together, we disrupt the way we and others thinking about our lives for good. Do you want to exchange ideas, learn from each other and leave your mark on our journey? This is the place for you. Role Purpose Why this role matters: As System Reliability Engineer-II, you will play a key role in improving the reliability, scalability, and performance of critical platform services. Your contributions will help shape our site reliability engineering practices and infrastructure, and ultimately the way we disrupt the market. What success looks like: In your first year, you will lead key automation and observability initiatives, reduce manual operational tasks through tooling and infrastructure-as-code, and improve system uptime through proactive incident management and performance tuning. Why this is for you: If you're keen on solving the challenge of scaling complex systems reliably and efficiently, hit us up. We're looking for someone ready to tackle this challenge head-on and make an impact from day one. Key Responsibilities In this role, you will: Lead the development of automation and tooling to improve deployment, monitoring, and incident resolution, ensuring greater system efficiency and scalability. Collaborate with platform, product, and security teams, driving the adoption of reliability best practices across services. Manage on-call responsibilities and incident management processes, ensuring rapid detection, resolution, and follow-up improvements. Drive the implementation of observability strategies including metrics, logging, and alerting. Contribute to infrastructure-as-code, self-healing systems, and continuous improvement in system performance and availability. Participate in architectural reviews and chaos engineering initiatives to build resilient systems. Qualifications & Attributes We’re seeking someone who embodies the following: Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Experience: 6+ years in Site Reliability Engineering, DevOps, or Infrastructure roles, especially in high-availability, large-scale environments. Technical Skills: Must-haves: Proficiency in programming/scripting (e.g., Python, Go, Bash). Strong Linux and networking fundamentals. Experience with cloud platforms (AWS, GCP) including both network and infrastructure components. Experience with Kubernetes. Experience with observability tools like Prometheus, Grafana, or ELK. Infrastructure-as-code experience (Terraform). Nice-to-haves: Familiarity with platform tools such as OpenShift, OKD, and Rancher Stack. Knowledge of additional observability tools like Dynatrace, SIG, OpenTelemetry, or similar. Hands-on experience with virtualization technologies. Familiarity with incident response tools, performance testing, and capacity planning practices. Unique Attributes: Thrives in high-scale environments requiring proactive ownership and rapid decision-making. Possesses strong communication skills and a pragmatic, collaborative mindset. Excels with DevOps principles, infrastructure-as-code, and reliability engineering practices. What we offer: Rapid learning opportunities - we enable learning through flexible career paths, exposure to challenging & meaningful work that will help build and strengthen your expertise. Hybrid work environment - flexibility to work from home 2 days a week in our UAE & Pakistan offices. Healthcare and other local benefits offered in market. By submitting your application, you acknowledge and consent to the use of Greenhouse & BrightHire during the recruitment process. This may include the storage and processing of your data on servers located outside your country of residence. For further information, please contact us at dataprivacy@beyond.one.", "summaryDescription" : "Senior System Reliability Engineer at Beyond ONE. Skills: System Reliability Engineering, DevOps, Cloud Platforms, Automation. Lead automation and tooling development. Improve deployment, monitoring, incident resolution", "postedDate" : "2026-06-14T20:08:09.087", "createdAt" : "2026-06-14T20:08:09.087", "lastUpdated" : "2026-06-16T02:07:45.447", "ingestTimestamp" : "2026-06-14T20:08:09.087", "mongoId" : "6a2c6c3974d8ee00a091791d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Infrastructure-as-code", "Self-healing systems", "Chaos engineering", "Decision-making", "Pragmatic mindset", "System Reliability Engineering", "DevOps", "Cloud Platforms", "Automation", "System design", "Infrastructure management", "Observability", "Incident management", "Performance tuning", "Deployment", "Monitoring", "Reliability engineering", "High-availability systems", "Large-scale environments", "Digital services platform", "Telco foundation", "Personalised digital ecosystems", "Cloud-native architecture", "Prometheus", "Grafana", "ELK", "Terraform", "OpenShift", "OKD", "Rancher Stack", "Dynatrace", "SIG", "OpenTelemetry" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc35574d8ee00a0a090ab", "title" : "Senior Product Engineer, Scalability", "company" : "Railway", "industry" : "Product", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Engineer, Scalability in India, adjusted for seniority and remote work." }, "location" : "Global", "locations" : [ "Global" ], "timestamp" : "2026-06-15T22:19:48.889", "fingerprint" : "4e23e42004e86d05f1a79650a156e881944720e94bdc45c85e6d54d17a1357e0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/railway/5f51771e-339f-49f9-8da2-e3c7179c7bad/application", "externalId" : "5f51771e-339f-49f9-8da2-e3c7179c7bad", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TypeScript, GraphQL, Postgres, Node.js, Rust, ClickHouse, Temporal", "professionalSkills" : [ "System design", "Data modeling", "Workflow orchestration" ], "hardSkillsList" : [ "Usage metering", "Billing pipeline", "Payment processing", "Fraud detection", "Signal collection", "Real-time scoring", "Automated mitigation", "Write load", "Event pipelines", "Database scaling", "API development", "Requirement documents", "Open-source contribution", "Oncall duties", "Idempotent charges", "Retries", "Reconciliation", "Provider edge cases", "Concurrency", "Partial failure" ], "hardSkills" : [ { "name" : "Usage metering", "level" : "intermediate" }, { "name" : "Billing pipeline", "level" : "intermediate" }, { "name" : "Payment processing", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Signal collection", "level" : "intermediate" }, { "name" : "Real-time scoring", "level" : "intermediate" }, { "name" : "Automated mitigation", "level" : "intermediate" }, { "name" : "Write load", "level" : "intermediate" }, { "name" : "Event pipelines", "level" : "intermediate" }, { "name" : "Database scaling", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Requirement documents", "level" : "intermediate" }, { "name" : "Open-source contribution", "level" : "intermediate" }, { "name" : "Oncall duties", "level" : "intermediate" }, { "name" : "Idempotent charges", "level" : "intermediate" }, { "name" : "Retries", "level" : "intermediate" }, { "name" : "Reconciliation", "level" : "intermediate" }, { "name" : "Provider edge cases", "level" : "intermediate" }, { "name" : "Concurrency", "level" : "intermediate" }, { "name" : "Partial failure", "level" : "intermediate" } ], "majorSkills" : "Scalability, Billing systems, Fraud detection, Backend systems", "majorSkillsList" : [ "Scalability", "Billing systems", "Fraud detection", "Backend systems" ], "coreResponsibilities" : "Architect and scale pipelines, Build payment flows, Develop fraud and abuse detection, Scale systems everything else depends on, Build TypeScript + GraphQL APIs, Write Engineering Requirement Documents, Contribute to open-source repositories, Be oncall", "domainKnowledge" : "Money movement; Distributed systems; Cloud-native architecture", "domainList" : [ "money-movement", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Money movement", "Distributed systems", "Cloud-native architecture" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Engineering Requirement Documents", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Oncall from time to time", "qualificationsBasic" : "Lead backend systems design, Scale systems 10x, Deep Postgres expertise, Node.js internals knowledge, Manage async backend jobs, Money movement experience, Security and abuse mindset, Lead project development process, Written communication skills, Verbal communication skills", "qualificationsPreferred" : "Direct billing experience, Direct payments experience, Direct fraud experience, Rust experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Railway now powers workloads for millions of builders, and the systems underneath — usage metering, billing and payments, fraud and abuse protection, background workers, and the data pipelines that feed them all — have to scale every week. You'll be the person who architects that stack: making it fast, correct, and trustworthy at a volume that keeps growing. If you're looking to scale the backbone of an operating system for builders, we'd love to talk with you! Want to learn about our work culture? Here is a multi-part blog series that will help you see the unique ways our team works (Parts 1 https://blog.railway.app/p/how-we-work, 2 https://blog.railway.app/p/how-we-work-volume-ii, 3 https://blog.railway.app/p/how-we-work-volume-iii, and 4 https://blog.railway.com/p/how-we-work-volume-iv). ABOUT THE ROLE This is a backend-leaning role focused on scaling systems. Billing and fraud will be a focus, but your remit spans every high-throughput system at Railway — workers, queues, event pipelines, and the databases underneath them. You'll own your work end-to-end, including when a feature reaches the UI. For this role, you will: - Architect and scale the pipelines that turn raw usage into accurate, real-time billing — metering, aggregation, rating, and invoicing across millions of events, from ingestion in ClickHouse to the rating engine. - Build payment flows that are correct under concurrency and partial failure: idempotent charges, retries, reconciliation, and clean handling of provider edge cases (Stripe and beyond). - Develop fraud and abuse detection — signal collection, real-time scoring, automated mitigation — that protects platform margin without getting in legitimate users' way. - Scale the systems everything else depends on: Postgres under heavy write load, Node.js services under pressure, and long-running workflows orchestrated with Temporal where exactly-once semantics and durability actually matter. - Build TypeScript + GraphQL APIs where correctness and auditability are non-negotiable. - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success and scaling it further. - Contribute to our open-source repositories (CLI, Typescript SDK, Railpack, etc.) — Rust experience, or the desire to learn it, helps here. - Be oncall from time to time. Some projects this team takes on: - Re-architect billing end-to-end: per-second usage metering at platform scale, idempotent payment processing that survives provider outages without double-charging, and credit, prepayment, and enterprise-invoicing models that hold up under audit. - Stand up a fraud-detection service that scores signups and deployments in real time and automatically throttles abuse (crypto mining, free-tier farming, stolen cards). - Scale our Temporal workloads to orchestrate workflows across millions of deployments. - Build internal tooling that gives teams across Railway a trustworthy, real-time view into the systems they depend on. This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU - An ability to autonomously lead, design, and implement backend systems where correctness, consistency, and auditability are first-class requirements. - A track record of scaling systems — you've taken a pipeline, service, or database that was falling over and made it handle 10x, and you know which tools to reach for (and when polling stops being enough). - Deep expertise in Postgres and relational data modeling — you reach for the right consistency guarantees, understand the cost of getting them wrong, and know how Postgres itself behaves at scale. - Strong working knowledge of Node.js internals — the event loop, memory behavior, and what to do when a service degrades under load. - Experience managing complex asynchronous and long-running backend jobs, ideally with a workflow engine like Temporal, for things like billing runs or payment reconciliation. - Familiarity with the realities of money movement: payment providers, idempotency, retries, reconciliation, and their failure modes. Direct billing, payments, or fraud experience is a strong plus. - A security and abuse-aware mindset — you instinctively think about how a system can be gamed, and you design accordingly. - A desire to be a part of the entire project development process, from research gathering and planning, to implementation and monitoring. - Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly-asynchronous manner. We value and love to work with diverse persons from all backgrounds. THINGS TO KNOW For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're globally distributed—and getting more so. Stuff is always happening somewhere. - We don't expect you to be online all the time, but you'll need to be diligent about your boundaries — your end of day will overlap with someone else's start. - We're a small, high-ownership team that cares deeply about doing exceptional work. We're scaling quickly, which means we rely on leverage—systems over coordination, judgment over process. Expect ambiguity and a fast-moving environment. - You'll own real outcomes. That means making decisions, not just executing—and owning the success, or failure, that comes with them. BENEFITS AND PERKS At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.com/careers. Beyond compensation, there are a few things that we believe make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor \"busywork\" and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. HOW WE HIRE No tricks. No surprises. Here's the entire process. 1 — Talk with us about the role This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2 — Work on a small project to discuss in the interview Asynchronously design a system that scales. You choose the domain — pick whichever shows your thinking best: - A usage metering and billing pipeline that meters CPU/RAM for millions of workloads and bills accurately (you may depend on third parties such as Stripe), or - A stream-processing system that ingests high-cardinality observability events in real time, or - Whatever you pick, come ready to defend the architecture end-to-end. We'll dig into: - Polling vs. stream processing, and how you avoid losing data when streaming - Correctness under concurrency and partial failure: idempotency, retries, reconciliation, what happens when a step fails halfway through - How you handle cardinality, and which tools you lean on and why - The scalability of the things you depend on — what happens when Postgres becomes the bottleneck - Interview Structure to expect (60 Minutes): - Prework (submitted before your interview): Your design - 0–5 minutes: Introductions - 5–35 minutes: Walking through the design and how you'd extend it — new failure modes, 10x load, a fraud signal - 35–50 minutes: Noodling on technology, data modeling, and how you think about scale, money-movement, and abuse - 50–60 minutes: Time for you to ask your interviewers questions You can, and SHOULD! ask us questions ahead of time. Ask away! 3 — Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 4 — Meet the Team You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. Looking for: How you work with the rest of the team and communicate. 5 — Chat with CEO Sit down with our founder and CEO for 30 minutes. This is a 1:1, open ended conversation. 6 — Offer call Finally, we will present the offers, hammer out the details about your position, tee up onboarding, and start our journey together. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.", "summaryDescription" : "Senior Product Engineer, Scalability at Railway. Skills: Scalability, Billing systems, Fraud detection, Backend systems. Architect and scale pipelines. Build payment flows", "createdAt" : "2026-06-14T18:40:27.497", "lastUpdated" : "2026-06-15T22:19:48.889", "ingestTimestamp" : "2026-06-14T18:40:27.497", "mongoId" : "6a2cc35574d8ee00a0a090ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Usage metering", "Billing pipeline", "Payment processing", "Fraud detection", "Signal collection", "Real-time scoring", "Automated mitigation", "Write load", "Event pipelines", "Database scaling", "API development", "Requirement documents", "Open-source contribution", "Oncall duties", "Idempotent charges", "Retries", "Reconciliation", "Provider edge cases", "Concurrency", "Partial failure", "Scalability", "Billing systems", "Backend systems", "System design", "Data modeling", "Workflow orchestration", "Money movement", "Distributed systems", "Cloud-native architecture" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191d8c58b93c861e39688d", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Midland, United States, adjusted for the manufacturing industry and company size." }, "location" : "Midland, TX", "locations" : [ "Midland", "TX" ], "timestamp" : "2026-06-15T04:54:09.848", "fingerprint" : "509a734e3b1f9b086d2710a40df54ce0ff178ec1654f7a655d0bda1804780e0d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/855d1bb1c2b3-chief-operating-officer-heavy-equipment", "externalId" : "855d1bb1c2b3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Midland", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.8368800,-102.0103767" } ], "locationText" : "Midland, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "coreResponsibilities" : "Manage operations, Oversee daily activities, Ensure efficient workflow, Drive operational improvements, Manage resources, Coordinate cross-functional teams, Oversee vendor relationships, Manage stakeholder expectations, Monitor operational metrics, Develop operational strategies", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder management", "domainKnowledge" : "Heavy equipment industry", "domainList" : [ "heavy-equipment-industry" ], "domainSpecificKnowledge" : [ "Heavy equipment industry" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates. Manage operations. Oversee daily activities", "createdAt" : "2026-06-14T05:22:35.409", "lastUpdated" : "2026-06-15T04:54:09.848", "ingestTimestamp" : "2026-06-14T05:22:35.409", "mongoId" : "6a191d8c58b93c861e39688d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Heavy equipment industry" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c968d74d8ee00a098fe78", "title" : "Director Distribution Engineering & Systems", "company" : "Monster Energy", "industry" : "Logistics", "salary" : { "min" : 108900.0, "max" : 145200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Florida, United States", "locations" : [ "Florida", "United States" ], "timestamp" : "2026-06-15T06:40:25.960", "fingerprint" : "84e940ea71addcad6c0c4eba2e18964309c221aadf4a99d847881c50d91c8626", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4222748009", "externalId" : "4222748009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Florida", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Florida, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Director", "technicalSkills" : "Industrial engineering, Supply chain management, Data modeling, Advanced analytics", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Warehouse productivity analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Warehouse productivity analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Distribution engineering, Systems management, Supply chain", "majorSkillsList" : [ "Distribution engineering", "Systems management", "Supply chain" ], "coreResponsibilities" : "Direct operational strategies, Implement operational strategies, Direct business processes, Implement business processes, Direct systems for distribution, Implement systems for distribution, Design optimized workflows, Develop long-term strategies, Support business decision-making, Maintain productivity standards, Maintain safety standards, Maintain compliance standards, Manage supply chain software, Coordinate distribution network, Optimize distribution operations, Ensure supply chain execution, Design warehouse process workflows, Improve day-to-day operations, Reduce waste, Build dynamic tools, Build complex data models, Handle large datasets, Perform productivity analysis, Identify inefficiencies, Execute improvements, Build dashboards, Build automated reporting tools, Monitor operations, Monitor KPIs, Monitor performance targets, Manage people management, Foster collaboration culture", "teamCollaboration" : "Cross-functional coordination; Collaboration culture", "domainKnowledge" : "End-to-end supply chain; Warehouse management; Transportation management; Industrial Engineering methodologies", "domainList" : [ "end-to-end-supply-chain", "warehouse-management", "transportation-management", "industrial-engineering-methodologies" ], "domainSpecificKnowledge" : [ "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies" ], "toolProficiency" : [ "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "problemSolvingSkills" : "Advanced analytical tools; Data-driven decision-making", "outcomesObjectives" : "Maintain high standards productivity; Maintain high standards safety; Maintain high standards compliance; Ensure seamless coordination; Ensure seamless execution; Improve operations; Reduce waste; Support high-level decisions; Identify inefficiencies; Execute significant improvements; Monitor operations; Monitor KPIs; Monitor performance targets", "qualificationsBasic" : "7+ years Logistics experience, 5+ years leadership experience", "qualificationsPreferred" : "Bachelor's Supply Chain Operations, Bachelor's Warehouse Operations, Bachelor's related field", "rawDescription" : "A Day in the Life: In the position of Director, Distribution Engineering & Systems, you will direct and implement operational strategies, business processes, and systems for overall distribution. Leverage industrial engineering principles and end-to-end supply chain management software to design optimized workflows and develop long-term strategies. Utilize SAP S/4 HANA environments, complex data modeling, and advanced analytical tools to support critical business decision-making and maintain high standards for productivity, safety, and compliance. The Impact You'll Make: Expertly manage end-to-end supply chain management software to ensure seamless coordination across the entire distribution network. Oversee and optimize distribution operations within SAP EWM (Extended Warehouse Management) and SAP TM (Transportation Management) to ensure seamless end-to-end supply chain execution. Design and implement optimized warehouse process workflows using Industrial Engineering methodologies to improve day-to-day operations and reduce waste. Build and maintain dynamic tools and complex data models to handle large datasets, providing the insights necessary to support high-level business decision-making. Perform advanced warehouse productivity analysis to identify inefficiencies and execute significant improvements to systems and products. Utilize Power BI and Advanced Excel to build dashboards and automated reporting tools that monitor operations, Key Performance Indicators (KPIs), and performance targets for all shipping locations. Maintain responsibility and manage all aspects of people management, fostering a culture of collaboration Who You Are: Prefer a Bachelor's Degree in the field of -- Supply Chain Operations, Warehouse Operations, or a related field. Additional Experience Desired: More than 7 years of experience in Logistics and Warehouse Operations Additional Experience Desired: More than 5 years of experience in leadership capacity Computer Skills Desired: Comprehensive experience in end-to-end supply chain management software, SAP EWM, SAP TM, and SAP S/4HANA. Advanced Excel, expert-level proficiency. Proficiency in Power BI and other Warehouse Management Systems (WMS) Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $108,900—$145,200 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Director Distribution Engineering & Systems at Monster Energy. Skills: Distribution engineering, Systems management, Supply chain. Direct operational strategies. Implement operational strategies", "postedDate" : "2026-06-13T21:20:51.578", "createdAt" : "2026-06-13T21:20:51.578", "lastUpdated" : "2026-06-15T06:40:25.960", "ingestTimestamp" : "2026-06-13T21:20:51.578", "mongoId" : "6a2c968d74d8ee00a098fe78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 108900, "salaryAnnualMax" : 145200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Warehouse productivity analysis", "Data analysis", "Distribution engineering", "Systems management", "Supply chain", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies", "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ac70f0b99d58e7badf", "title" : "SDM, Secure 3P Tools, AmSec", "company" : "Amazon.com Services LLC", "industry" : "Software Development, amazon security", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T05:56:58.568", "fingerprint" : "3ec2b4f85a5e87accd6dea14ca8e4f86d0784ebd2e3524fa80acc6b49c8fa643", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104533/apply", "externalId" : "e339b28d-1c35-440c-80eb-4986b29df9f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, Machine Learning, Automation", "professionalSkills" : [ "System design", "Data science" ], "hardSkillsList" : [ "Security standards", "Vulnerability remediation", "Data protection" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Security standards", "level" : "intermediate" }, { "name" : "Vulnerability remediation", "level" : "intermediate" }, { "name" : "Data protection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Security solutions, Third party security, Data security", "majorSkillsList" : [ "Security solutions", "Third party security", "Data security" ], "coreResponsibilities" : "Own vision and architecture for products, Work closely with customers and partner teams, Collaborate with senior leadership team, Drive engineering and data science priorities, Deliver results through teams, Hire and develop tech and science leaders, Utilize communication skills, Deliver high quality results, Think Big for continuous planning, Use mechanisms that scale, Employ customer obsession, Continually improve experiences and productivity, Reduce friction, cost and effort", "teamCollaboration" : "Partner teams; Core platform engineering teams; Senior leadership team; Cross-functional teams", "domainKnowledge" : "Third party security; Cloud security; Data security", "domainList" : [ "third-party-security", "cloud-security", "data-security" ], "domainSpecificKnowledge" : [ "Third party security", "Cloud security", "Data security" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Culture of learning; Career growth; Training resources", "innovationCreativity" : "Driving innovation; Culture of experimentation; Curiosity", "problemSolvingSkills" : "Solve security problems", "outcomesObjectives" : "Raise security standards; Protect customers' data; Accelerate security automation; Achieve right outcomes", "qualificationsBasic" : "3+ years engineering team management, 7+ years working directly within engineering teams, 3+ years designing or architecting systems, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for full SDLC, Experience partnering with product or program management teams", "qualificationsPreferred" : "Experience communicating with users, technical teams, and senior leadership, Experience recruiting, hiring, mentoring/coaching, and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Secure Third Party Tools (S3T) engineering team (TPSE) develops and maintains advanced security solutions to protect Amazon customers' data. We build technologies for third party security standards to review, monitor, and remediate vulnerabilities. Our mission is to raise security standards, ensuring the highest level of data protection. S3T Engineering and Science serves AWS and Stores by building solutions to keep Amazon systems and data secure. We use the latest technology, including GenAI to solve security problems. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to accelerate security automation to keep pace and protect customers at scale. Key job responsibilities You will own the vision and architecture for your products. You will work closely with your customers, partner teams, and core platform engineering teams to ensure the needs of your customers are clearly understood and effectively addressed. You will collaborate with the senior leadership team to drive key engineering and data science priorities aligning to Security and businesses to achieve the right outcomes. Since our systems are foundational to the Amazon ecosystem, various businesses across Amazon depend on our solutions. Successful candidates for this position must have experience in delivering results through their teams, hiring and developing tech and science leaders. Why you want to be on the S3T Team :- We are technology professionals, who are genuinely passionate about continuously improving the security of Amazon systems on behalf of the Amazon customer. We also take pride in reducing the effort required for service teams across Amazon to build and maintain their systems securely. We are on a mission, have fun working together, and have a culture of learning and career growth. A day in the life Utilize strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. You will need to Think Big for continuous planning and use mechanisms that scale to meet the broad and diverse needs of teams across Amazon. You'll employ customer obsession serving customers' needs , continually improving experiences and productivity. About the team We are technology professionals, who care about customers, security, continuous improvements and driving innovation. We work hard to reduce friction, cost and effort needed to securely build and maintain systems with 3Ps. We have a culture of experimentation, curiosity and growth. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training and Career growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "SDM, Secure 3P Tools, AmSec at Amazon.com Services LLC. Skills: Security solutions, Third party security, Data security. Own vision and architecture for products. Work closely with customers and partner teams", "postedDate" : "2026-06-13T07:35:33.710", "createdAt" : "2026-06-13T07:35:33.710", "lastUpdated" : "2026-06-15T05:56:58.568", "ingestTimestamp" : "2026-06-13T07:35:33.710", "mongoId" : "68ed10ac70f0b99d58e7badf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104533/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Security standards", "Vulnerability remediation", "Data protection", "Leadership", "Mentoring", "Security solutions", "Third party security", "Data security", "System design", "Data science", "Cloud security" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here 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.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6949b14570f0b99d58827111", "title" : "Crewperson 5, Security Systems & Operations", "company" : "USD 259", "industry" : "Education", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Crewperson in Wichita, KS, adjusted for the Education industry and a public school district size." }, "location" : "School Service Center (SSC)", "locations" : [ "School Service Center (SSC)", "3850 N. Hydraulic", "67219" ], "certifications" : [ "Valid Kansas driver’s license" ], "timestamp" : "2026-06-15T07:34:28.514", "fingerprint" : "22e9468d97f10a38dd9eff8d19fd25eb98eb5d0a5c1af22fd13720b035b19d4f", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=88753", "externalId" : "88753", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wichita", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6922361,-97.3375448" } ], "locationText" : "Wichita, Kansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "technicalSkills" : "WAN/LAN, CCTV, DVR software, Napco security systems, Access control systems, Computer hardware repair, Fiber optic, Low voltage systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "System maintenance", "System installation", "System renovation", "Computer repair", "Grounding techniques" ], "softSkillsList" : [ "Professional manner", "Good judgment", "Confidentiality", "Dependability", "Efficiency" ], "hardSkills" : [ { "name" : "System maintenance", "level" : "intermediate" }, { "name" : "System installation", "level" : "intermediate" }, { "name" : "System renovation", "level" : "intermediate" }, { "name" : "Computer repair", "level" : "intermediate" }, { "name" : "Grounding techniques", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professional manner" }, { "name" : "Good judgment" }, { "name" : "Confidentiality" }, { "name" : "Dependability" }, { "name" : "Efficiency" } ], "majorSkills" : "Security systems, Low voltage systems, System maintenance", "majorSkillsList" : [ "Security systems", "Low voltage systems", "System maintenance" ], "coreResponsibilities" : "Service low voltage systems, Maintain low voltage systems, Install new systems, Renovate systems, Perform assigned duties, Work scheduled hours, Report hazardous conditions, Maintain good public relations, Cooperate with other employees, Assist in maintaining operations, Carry out assignments, Perform work of excellent quality, Maintain current knowledge, Assist supervisor, Support organizational goals, Work cooperatively with others, Assist in maintaining communication, Work under supervisor, Manage daily schedule, Maintain knowledge of methods, Assume responsibility for tools, Assume responsibility for supplies, Assume responsibility for materials, Communicate effectively, Attend required meetings, Attend required in-services, Understand grounding techniques, Install low voltage systems, Maintain low voltage systems", "teamCollaboration" : "Work with a crew; Work with personnel; Work with customers; Work with vendors; Work with diverse population; Work with colleagues", "domainKnowledge" : "Security systems; Low voltage systems; Access control systems; DVR software applications", "domainList" : [ "security-systems", "low-voltage-systems", "access-control-systems", "dvr-software-applications" ], "domainSpecificKnowledge" : [ "Security systems", "Low voltage systems", "Access control systems", "DVR software applications" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Outlook" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Training in all phases; Increase skills", "problemSolvingSkills" : "Make decisions; Prioritize work; Use good judgment", "specialRequirements" : "Travel between schools, Work indoors, Work outdoors, Inclement weather, Wear safety equipment, Work overtime, Work in confined spaces, Strenuous physical work, Work in stressful situations, Daily schedule may fluctuate", "qualificationsBasic" : "High School Diploma or GED, Valid Kansas driver’s license, Experience is required", "qualificationsPreferred" : "High School Diploma or GED preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Crewperson 5 – Security Systems and Operations Position Function: The Crewperson is responsible for servicing and maintaining low voltage systems, including WAN/LAN, CCTV, camera’s, DVR’s, including DVR software applications, Napco security systems, access control systems, computer knowledge, including repair of computer hardware, fiber optic, and camera systems. New installations as well as major system renovations are made by this department when dictated by capital improvement projects. Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee’s supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Additional Duties: Assist with additional duties as assigned by the Supervisor.Equipment Equipment: Travel: Travel between schools and central offices is required. Physical and Mental Demands: Ability to perform all tasks and work the hours required Ability to work indoors in extreme heat and cold and outdoors in inclement weather conditions including heat, cold, rain, or snow Ability to wear proper safety equipment as required while performing the various responsibilities required for this position Ability to work overtime on short notice may be required Work in standard office, shop and school building environments Ability to work in confined or high spaces; some strenuous physical work Ability to work productively in stressful situations Daily schedule may fluctuate to accommodate deadlines and delivery of services Limited (0-1 hour) Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Basic computer proficiency and the ability to effectively use Microsoft Word and Outlook Exhibit a professional manner and a positive attitude Must be detailed oriented Use good judgment to make decisions on recurring assignments Display a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company’s mission, purpose, goals and the role of every employee in achieving each of them Knowledge of various types of materials and procedures used in the area is essential Display initiative in the performance of assigned tasks – either working alone or as a part of a crew Assist in maintaining a harmonious and efficient operation Possess exceptional knowledge and demonstrate remarkable skills in the designed job area. Ability to carry out assignments and perform work of excellent quality with minimum supervision. Demonstrate outstanding qualities in efficiency, initiative and dependability when completing various tasks. Maintain current knowledge relating to technical information and policies concerning this Facilities area, and assist the Supervisor in assigned administrative tasks Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Essential Performance Responsibilities: Perform work in a safe manner and reports any hazardous conditions Assist in maintaining good public relations, being cognizant that a Crewperson represents both the Facilities Division and Wichita Public Schools Cooperate with other employees and maintain good public relations inside and outside his/her assignment Display willingness to be trained in all phases of assignments and increase his/her skills, thus, qualifying for advancement Possess a work ethic that is strongly oriented toward both efficiency and customer service Maintain appropriate licenses and certifications including a valid Kansas driver’s license at all times throughout employment Possess superior knowledge of procedures, materials and equipment utilized in the designated area while displaying good workmanship, planning, and leadership Support the organizational goals, the mission of the School Service Center and the district Work cooperatively with others and assist in maintaining open lines of communication Work directly or indirectly under the Supervisor Daily schedule may fluctuate to accommodate deadlines and delivery of services Maintain knowledge of the latest methods and procedures utilized in the assigned unit Assume responsibility for all tools, supplies, and materials Communicate effectively with Job Coordinators Attendance at required meetings and in-services Understand grounding techniques and requirements. Installation and maintenance of low voltage systems including Qualification Profile: A High School Diploma or GED is preferred Maintain a valid Kansas driver’s license throughout entirety of employment Experience is required FLSA Status: Non-Exempt", "summaryDescription" : "Crewperson 5, Security Systems & Operations at USD 259. Skills: Security systems, Low voltage systems, System maintenance. Service low voltage systems. Maintain low voltage systems", "createdAt" : "2026-06-14T00:31:20.029", "lastUpdated" : "2026-06-15T07:34:28.514", "ingestTimestamp" : "2026-06-14T00:31:20.029", "mongoId" : "6949b14570f0b99d58827111", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "System maintenance", "System installation", "System renovation", "Computer repair", "Grounding techniques", "Professional manner", "Good judgment", "Confidentiality", "Dependability", "Efficiency", "Security systems", "Low voltage systems", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Access control systems", "DVR software applications", "Valid Kansas driver’s license", "Microsoft Word", "Microsoft Outlook" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca68b74d8ee00a09bc130", "title" : "Manager, Recruiting Operations and Systems", "company" : "Apptronik", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Recruiting Operations and Systems in Austin, United States, adjusted for industry and seniority." }, "location" : "Austin, TX", "locations" : [ "Austin", "TX" ], "timestamp" : "2026-06-16T03:14:09.048", "fingerprint" : "78665af60b8fcb857d968c6d6016e36d4398d93bf3d20b1d9c5ed6a571a6cbb6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/apptronik/jobs/6026924004?gh_jid=6026924004", "externalId" : "6026924004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "majorSkills" : "Recruiting operations, HR systems", "majorSkillsList" : [ "Recruiting operations", "HR systems" ], "coreResponsibilities" : "Manage recruiting operations, Oversee HR systems, Drive talent acquisition strategies, Enhance employee experience, Develop HR policies, Ensure compliance, Analyze HR data, Manage HR projects", "teamCollaboration" : "Cross-functional teams; Leadership stakeholders", "domainKnowledge" : "Recruiting best practices; HRIS systems; Talent acquisition", "domainList" : [ "recruiting-best-practices", "hris-systems", "talent-acquisition" ], "domainSpecificKnowledge" : [ "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "qualificationsBasic" : "8+ years experience", "rawDescription" : "Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY The Senior Manager, Recruiting Ops and Systems will drive operational excellence, data maturity, and infrastructure scalability for our Talent Acquisition team. This leader will initially operate as a hands-on builder, owning reporting, analytics, systems optimization, and data governance while establishing the processes and infrastructure that will support future team expansion. This pivotal role is responsible for transforming raw recruiting data into strategic insights, architecting a robust internal knowledge base, and leading a high-performing coordination team. The ideal candidate is a curious, data-driven systems thinker and proactive doer who thrives on building from the ground up rather than purely managing existing environments. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Recruiting Data, Reporting, and Analytics Design, build, and maintain comprehensive, real-time recruiting dashboards and reports to track key performance indicators (KPIs) such as time-to-hire, quality-of-hire, pipeline health, and sourcing channel efficiency. Architect reporting solutions and data models from ambiguous or incomplete baseline business requirements, turning complex raw metrics into highly structured, clear data points. Analyze complex recruiting datasets to identify operational bottlenecks, predict hiring trends, and provide data-driven recommendations to talent leadership and business stakeholders. Audit and maintain data integrity within the Applicant Tracking System (ATS) and ancillary tools, establishing strict data governance policies and team compliance. Systems Infrastructure and Knowledge Management Lead the hands-on architecture, content creation, and continuous improvement of the recruiting team’s internal intranet/knowledge base, documenting workflows, tech stack configurations, KPI communication and team policies. Build and scale a centralized repository of enablement and training materials tailored specifically for hiring managers, interviewers, and interview panels to elevate company-wide interview capability. Manage vendor relationships and maximize the ROI of the recruiting technology stack, overseeing system integrations, routine updates, and internal tool adoption. Team Leadership and People Management Provide direct leadership, coaching, and professional development to coordinators and ops personnel, ensuring exceptional candidate experiences and seamless interview logistics. Strategic planning for future operations team growth, including the eventual headcount justification, onboarding, and management of an individual contributor (IC) Reporting Analyst. Establish performance standards, manage team capacity, and cultivate a collaborative, highly organized team culture. SKILLS AND REQUIREMENTS A true 'doer' and hands-on builder mentality; comfortable executing technical work from scratch rather than solely consuming or managing pre-existing reporting environments. Strong SQL proficiency (including writing complex queries, joins, aggregations, data validation, and structural troubleshooting). Advanced Power BI development capabilities, including robust hands-on experience with DAX and Power Query. Proven understanding of data modeling concepts and KPI frameworks built from ambiguous or evolving data landscapes. Familiarity or foundational exposure to cloud data warehouse environments (e.g., BigQuery, Snowflake, Redshift). Advanced proficiency with modern Applicant Tracking Systems (Greenhouse highly preferred) and data visualization ecosystems. Proven experience in architecting and maintaining centralized internal knowledge bases, intranets, or wikis (e.g., Confluence, Notion, SharePoint). Strong project management skills with a track record of successfully implementing scalable operational processes across a talent function. Exceptional communication and presentation skills, with a proven ability to translate complex technical or analytical concepts into actionable narratives for non-technical stakeholders. Natural leadership capability with a passion for mentoring, developing, and managing operational personnel or coordinator teams. EDUCATION and/or EXPERIENCE Bachelor’s degree (or equivalent) in Human Resources, Business Administration, Data Analytics, or related field At least 8 years of experience in talent acquisition operations, recruiting systems management, or recruiting data analytics At least 2 years of experience directly managing people, preferably within a recruiting or talent operations environment Proven track record of implementing and integrating new products within a recruiting tech stack while managing continuous change in a high-growth environment. PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Manager, Recruiting Operations and Systems at Apptronik. Skills: Recruiting operations, HR systems. Manage recruiting operations. Oversee HR systems", "postedDate" : "2026-06-14T18:37:09.212", "createdAt" : "2026-06-14T18:37:09.212", "lastUpdated" : "2026-06-16T03:14:09.048", "ingestTimestamp" : "2026-06-14T18:37:09.212", "mongoId" : "6a2ca68b74d8ee00a09bc130", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Recruiting operations", "HR systems", "Talent management", "Employee relations", "HR processes", "Organizational development", "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191d8c58b93c861e39688c", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Dallas, United States, adjusted for the manufacturing industry and company size." }, "location" : "Dallas, TX", "locations" : [ "Dallas", "TX" ], "timestamp" : "2026-06-15T10:14:38.754", "fingerprint" : "01312247e330e863bb750856c01bd8a6c5f3ef52e5988c1af4c9f02f031bf7b7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/d15438380323-chief-operating-officer-heavy-equipment", "externalId" : "d15438380323", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates", "createdAt" : "2026-06-13T23:59:06.805", "lastUpdated" : "2026-06-15T10:14:38.754", "ingestTimestamp" : "2026-06-13T23:59:06.805", "mongoId" : "6a191d8c58b93c861e39688c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "69f519c94c40e2acd1eb1bb3", "title" : "Software Development Engineer II, AWS Transactional Services (Database & Distributed Systems)", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:31:04.267", "fingerprint" : "e750b510c1202997bd0bb4c018906a001e3e3e44ba676d762b73caf03854e77f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409239/apply", "externalId" : "d110b37b-b2fb-41b5-b123-330902407836", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Distributed systems, Database technologies", "professionalSkills" : [ "Operational processes" ], "hardSkillsList" : [ "System design", "Reliability", "Scaling" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Scaling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, Database technologies, High availability", "majorSkillsList" : [ "Distributed systems", "Database technologies", "High availability" ], "coreResponsibilities" : "Invent distributed systems, Design distributed systems, Develop distributed systems, Own software delivery end-to-end, Establish best practices, Work with engineers, Participate in designs, Participate in design reviews, Participate in code reviews, Participate in implementation, Mentor other engineers, Keep up to date with technologies", "teamCollaboration" : "Collaborate with team members", "domainKnowledge" : "Transactional systems; Distributed systems; Database systems; High availability; Transactional guarantees; High scale systems", "domainList" : [ "transactional-systems", "distributed-systems", "database-systems", "high-availability", "transactional-guarantees", "high-scale-systems" ], "domainSpecificKnowledge" : [ "Transactional systems", "Distributed systems", "Database systems", "High availability", "Transactional guarantees", "High scale systems" ], "continuousLearning" : "Keep up to date with new technologies", "innovationCreativity" : "Invent novel technical challenges", "problemSolvingSkills" : "Solve novel technical challenges", "outcomesObjectives" : "Build highly available systems; Build low-latency systems; Scale systems to serve 100M+ ops/sec", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Transactional Services organization builds foundational distributed systems that power the largest AWS services. The organization specializes in building high performance, highly available data systems that provide strong transactional guarantees at very high scale. We have an exciting multi-year roadmap with huge opportunities to own and solve novel technical challenges in distributed systems. The role is part of a team with multiple senior and principal engineers and involves end-to-end ownership, from requirements to design, implementation, deployment and production support. You will build and own highly available, low-latency systems that scale to serve over 100 million operations per second. Key job responsibilities - Invent, design, and develop highly available and scalable distributed systems and database technologies. - Own the delivery of software development projects end-to-end. - Work with other engineers to establish best practices in software development and operational processes. - Collaborate with team members on day-to-day development activities, participate in designs, design reviews, code reviews, and implementation. - Mentor other engineers. - Keep up to date with new technologies used in the field and by our customers. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, AWS Transactional Services (Database & Distributed Systems) at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Database technologies, High availability. Invent distributed systems. Design distributed systems", "postedDate" : "2026-06-13T05:30:59.688", "createdAt" : "2026-06-13T05:30:59.688", "lastUpdated" : "2026-06-15T02:31:04.267", "ingestTimestamp" : "2026-06-13T05:30:59.688", "mongoId" : "69f519c94c40e2acd1eb1bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409239/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "System design", "Reliability", "Scaling", "Mentoring", "Distributed systems", "Database technologies", "High availability", "Operational processes", "Transactional systems", "Database systems", "Transactional guarantees", "High scale systems" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c8c8374d8ee00a0975b46", "title" : "Research Program Manager, Distributed Research", "company" : "WHOOP", "industry" : "Machine Learning & Research", "salary" : { "min" : 90000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T05:22:33.973", "fingerprint" : "d7875d94140711e413684236beb88f118c7a2c72f00e387e843a75691cb75070", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/2f311632-71ef-4d53-b884-062e6ed1cfe3/application", "externalId" : "2f311632-71ef-4d53-b884-062e6ed1cfe3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Jira, Agile methodologies", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Intake processes", "Scoping processes", "Requirements definition", "Feasibility assessment", "Timing assessment", "Scope assessment", "Regulatory timelines", "Compliance timelines", "IRB review", "IRB approval", "Prioritization", "Trade-offs", "Execution plans", "Repeatable research execution", "Risk identification", "Risk mitigation", "System usage", "Dependency surfacing", "Prioritization frameworks", "Process optimization", "Efficiency increase", "Impact increase" ], "hardSkillsList" : [ "Operational metrics", "Data collection planning", "Data collection operations", "Distributed research efforts" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Data collection planning", "level" : "intermediate" }, { "name" : "Data collection operations", "level" : "intermediate" }, { "name" : "Distributed research efforts", "level" : "intermediate" } ], "majorSkills" : "Program management, Roadmap planning, Process scaling, Stakeholder alignment", "majorSkillsList" : [ "Program management", "Roadmap planning", "Process scaling", "Stakeholder alignment" ], "coreResponsibilities" : "Own program roadmap, Maintain program roadmap, Partner with researchers, Partner with stakeholders, Align priorities, Balance team capacity, Establish timelines, Lead intake processes, Lead scoping processes, Define requirements, Assess feasibility, Determine timing, Determine scope, Ensure planning incorporates timelines, Manage incoming requests, Prioritize incoming requests, Make trade-offs, Build intake workflows, Build SOPs, Build tracking systems, Build operational processes, Support research execution, Plan data collection initiatives, Execute data collection initiatives, Identify risks, Drive mitigation strategies, Own internal tooling, Manage internal tooling, Partner with technical teams, Enable system usage, Monitor system usage, Improve system usage, Collaborate cross-functionally, Align priorities, Surface dependencies, Support execution, Use program metrics, Use operational insights, Use performance indicators, Improve prioritization frameworks, Optimize processes, Increase efficiency, Increase impact", "teamCollaboration" : "Cross-functionally with Research; Cross-functionally with Product; Cross-functionally with Engineering; Cross-functionally with Operations; With researchers; With stakeholders; With technical teams", "projectManagementSkills" : [ "Program management", "Roadmap planning", "Intake processes", "Scoping processes", "Prioritization", "Execution", "Agile methodologies", "Workflow management" ], "domainKnowledge" : "Human subjects research; Decentralized research; Data collection infrastructure; AI tools", "domainList" : [ "human-subjects-research", "decentralized-research", "data-collection-infrastructure", "ai-tools" ], "domainSpecificKnowledge" : [ "Human subjects research", "Decentralized research", "Data collection infrastructure", "AI tools" ], "toolProficiency" : [ "Jira", "Workflow management systems" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "SOPs", "problemSolvingSkills" : "Analytical skills; Operational skills; Data-driven decision-making", "outcomesObjectives" : "Increase efficiency; Increase impact", "qualificationsBasic" : "3+ years Program Management, 3+ years Project Management, Manage intake, Manage prioritization, Manage roadmap planning, Manage execution, Build operational processes, Scale operational processes, Build workflows, Scale workflows, Build SOPs, Scale SOPs, Work with technical teams, Manage dependencies", "qualificationsPreferred" : "Research environment experience, Technical product experience, Data environment experience, Operations-focused experience, Experience supporting human subjects research, Experience supporting decentralized research operations, Experience supporting data collection infrastructure", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHOOP is on a mission to unlock human performance and healthspan. This role sits at the center of that mission, ensuring our executives operate at maximum leverage. You will go beyond traditional administrative support by building systems, using AI tools, and proactively driving execution across priorities. RESPONSIBILITIES: - - Own and maintain the program roadmap for decentralized data collection initiatives, partnering with researchers and stakeholders to align priorities, balance team capacity, and establish realistic timelines - Lead intake and scoping processes for new requests by partnering with researchers and stakeholders to define requirements, assess feasibility, and determine appropriate timing and scope - Ensure decentralized data collection planning incorporates applicable regulatory and compliance timelines, including IRB review and approval milestones where applicable - Manage and prioritize incoming requests with a clear understanding of team bandwidth and operational constraints, making thoughtful trade-offs across scope, timing, and prioritization - Build and maintain scalable intake workflows, SOPs, tracking systems, and operational processes that support efficient and repeatable research execution - Ensure data collection initiatives are planned and executed without overextending technical systems or operational capacity, proactively identifying risks and driving mitigation strategies - Own and manage internal tooling that supports decentralized data collection operations, partnering closely with technical teams to enable, monitor, and improve system usage - Collaborate cross-functionally with Research, Product, Engineering, and Operations teams to align priorities, surface dependencies early, and support smooth execution across initiatives - Use program metrics, operational insights, and performance indicators to improve prioritization frameworks, optimize processes, and increase the overall efficiency and impact of distributed research efforts QUALIFICATIONS: - - 3+ years of experience in a Program Management or Project Management role, preferably within a research, technical product, data, or operations-focused environment - Demonstrated experience managing intake, prioritization, roadmap planning, and execution across multiple stakeholders and competing priorities - Proven ability to translate ambiguous or evolving requests into clearly defined scope, timelines, and actionable execution plans - Experience building and scaling operational processes, workflows, and SOPs in fast-paced, evolving environments - Familiarity with Agile methodologies and project management tools such as Jira or similar workflow management systems - Comfort working closely with technical teams and managing dependencies involving internal tooling, data systems, or operational infrastructure - Strong analytical, operational, and data-driven decision-making skills - Excellent communication, organizational, and stakeholder management skills with the ability to drive alignment across cross-functional teams - Experience supporting human subjects research, decentralized research operations, or data collection infrastructure is a plus - Passion for health, wellness, and WHOOP’s mission to unlock human performance and healthspan - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. 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. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $90,000 - $130,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. ", "summaryDescription" : "Research Program Manager, Distributed Research at WHOOP. Skills: Program management, Roadmap planning, Process scaling, Stakeholder alignment. Own program roadmap. Maintain program roadmap", "createdAt" : "2026-06-13T22:10:22.370", "lastUpdated" : "2026-06-15T05:22:33.973", "ingestTimestamp" : "2026-06-13T22:10:22.370", "mongoId" : "6a2c8c8374d8ee00a0975b46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Data collection planning", "Data collection operations", "Distributed research efforts", "Program management", "Roadmap planning", "Process scaling", "Stakeholder alignment", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Intake processes", "Scoping processes", "Requirements definition", "Feasibility assessment", "Timing assessment", "Scope assessment", "Regulatory timelines", "Compliance timelines", "IRB review", "IRB approval", "Prioritization", "Trade-offs", "Execution plans", "Repeatable research execution", "Risk identification", "Risk mitigation", "System usage", "Dependency surfacing", "Prioritization frameworks", "Process optimization", "Efficiency increase", "Impact increase", "Execution", "Agile methodologies", "Workflow management", "Human subjects research", "Decentralized research", "Data collection infrastructure", "AI tools", "Jira", "Workflow management systems" ], "skillCount" : 45, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe574d8ee00a09d827d", "title" : "Senior Staff Software Engineer - Secure Manufacturing", "company" : "Humanoid", "industry" : "Engineering", "salary" : { "min" : 260000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US, San Diego, CA", "locations" : [ "US, San Diego, CA" ], "timestamp" : "2026-06-15T04:53:06.607", "fingerprint" : "f0b3a9634433b2ab325930e6e9f0b5f9a6c8f2a8246ef879b1f0b95c71c4386f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/humanoid/08e53cbd-9bc8-4d36-8228-2e5fe08ece4e/application", "externalId" : "08e53cbd-9bc8-4d36-8228-2e5fe08ece4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Bash, Embedded Linux, AWS, PKI, X.509, MTLS, CA services, S3, IAM, ECS, KMS, CloudHSM, Secrets Manager, NVIDIA Jetson, Secure boot, TPM, TrustZone", "professionalSkills" : [ "Device security", "Manufacturing engineering", "Secure provisioning", "Secure manufacturing", "Identity management", "OTA", "Fleet management", "EOL test", "Quality gates", "Threat modeling", "Chain of custody", "Hardware architecture", "Software architecture", "Network stack", "Factory floor", "Provisioning stations", "Key injection", "Fuse programming", "Automation pipeline", "Firmware flashing", "Functional test", "Device registry", "Deployment tracking", "Pass/fail criteria", "Sensor calibration", "Actuator checks", "Health check", "Contract manufacturers", "Security requirements", "Firmware tampering", "Supply chain", "Calibration records", "Firmware version", "Cloud control plane", "Partitioning", "Image verification", "Station design", "Root of trust", "Key injection", "Certificate provisioning", "EFuse programming" ], "hardSkillsList" : [ "Secure device provisioning", "Secure manufacturing", "PKI", "X.509 certificates", "MTLS", "Device attestation", "AWS Private CA", "AWS infrastructure", "EOL test", "Automated fixtures", "Quality gates", "Scripting", "Automation", "Provisioning toolchains", "Embedded Linux", "Secure manufacturing design", "Signed image verification", "Air-gapped station design", "Secure boot chains", "TPM", "TrustZone", "Cryptographic key injection", "Certificate provisioning", "EFuse programming" ], "hardSkills" : [ { "name" : "Secure device provisioning", "level" : "intermediate" }, { "name" : "Secure manufacturing", "level" : "intermediate" }, { "name" : "PKI", "level" : "intermediate" }, { "name" : "X.509 certificates", "level" : "intermediate" }, { "name" : "MTLS", "level" : "intermediate" }, { "name" : "Device attestation", "level" : "intermediate" }, { "name" : "AWS Private CA", "level" : "intermediate" }, { "name" : "AWS infrastructure", "level" : "intermediate" }, { "name" : "EOL test", "level" : "intermediate" }, { "name" : "Automated fixtures", "level" : "intermediate" }, { "name" : "Quality gates", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Provisioning toolchains", "level" : "intermediate" }, { "name" : "Embedded Linux", "level" : "intermediate" }, { "name" : "Secure manufacturing design", "level" : "intermediate" }, { "name" : "Signed image verification", "level" : "intermediate" }, { "name" : "Air-gapped station design", "level" : "intermediate" }, { "name" : "Secure boot chains", "level" : "intermediate" }, { "name" : "TPM", "level" : "intermediate" }, { "name" : "TrustZone", "level" : "intermediate" }, { "name" : "Cryptographic key injection", "level" : "intermediate" }, { "name" : "Certificate provisioning", "level" : "intermediate" }, { "name" : "EFuse programming", "level" : "intermediate" } ], "majorSkills" : "Secure manufacturing, Device provisioning, PKI, Embedded systems", "majorSkillsList" : [ "Secure manufacturing", "Device provisioning", "PKI", "Embedded systems" ], "coreResponsibilities" : "Design secure manufacturing station, Architect hardware stack, Architect software stack, Architect network stack, Build provisioning toolchain, Own automation pipeline, Bridge device and cloud identity, Enroll every device, Own EOL test specification, Define pass/fail criteria, Work with contract manufacturers, Translate security requirements, Threat model the factory, Maintain chain of custody, Link physical serial number", "teamCollaboration" : "Globally distributed team; Firmware teams; Cloud teams; Manufacturing teams; Systems teams; Operational teams; Peer teams", "domainKnowledge" : "Secure manufacturing; Device provisioning; Secure boot; Firmware; Cloud control plane; Hardware root of trust; TPM; TrustZone; Supply chain", "domainList" : [ "secure-manufacturing", "device-provisioning", "secure-boot", "firmware", "cloud-control-plane", "hardware-root-of-trust", "tpm", "trustzone", "supply-chain" ], "domainSpecificKnowledge" : [ "Secure manufacturing", "Device provisioning", "Secure boot", "Firmware", "Cloud control plane", "Hardware root of trust", "TPM", "TrustZone", "Supply chain" ], "toolProficiency" : [ "AWS", "NVIDIA Jetson", "HSM", "AWS Private CA", "CloudHSM", "Secrets Manager", "TPM", "TrustZone" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Threat modeling", "qualificationsBasic" : "10+ years experience, 3 years secure device provisioning, 3 years secure manufacturing, 3 years Staff level role, X.509 certificate lifecycles, MTLS, Device attestation, AWS Private CA, S3, IAM, ECS, KMS, CloudHSM, Secrets Manager, Manufacturing test specifications, Automated fixtures, Quality gates, Python or Bash, Embedded Linux systems, NVIDIA Jetson Orin/Thor, Secure processes for CMs, Signed image verification, Air-gapped station design, Secure boot chains, TPM/TrustZone, Cryptographic key injection, Certificate provisioning, EFuse programming", "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. ABOUT THE ROLE We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture. WHAT YOU'LL DO - Design the secure manufacturing station — Architect the hardware, software, and network stack for factory floor provisioning stations (HSM, key injection, AWS Private CA, secure boot fuse programming). - Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, firmware flashing, calibration, and functional test. - Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking. - Own the EOL test specification — Work with peer teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, secure boot verification, and initial OTA health check. - Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution. - Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture. - Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members. WHAT WE'RE LOOKING FOR - 10+ years of experience in embedded systems, device security, or manufacturing engineering, with at least 3 years focused on secure device provisioning and/or secure manufacturing processes. And ideally 3 years in a Staff level role. - PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device attestation and managed CA services like AWS Private CA. - AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows. - EOL test and calibration — Hands-on experience defining manufacturing test specifications, building automated fixtures, and managing quality gates with contract manufacturers. - Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains. - Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms. - Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs, including A/B partitioning, signed image verification, and air-gapped station design. - Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.", "summaryDescription" : "Senior Staff Software Engineer - Secure Manufacturing at Humanoid. Skills: Secure manufacturing, Device provisioning, PKI, Embedded systems. 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Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices. With over one million nights rented through our travel platform, we have welcomed more than 300,000 travelers from 169 countries. We offer a comprehensive and expanding array of road trip possibilities: short-term RV rentals, long-term campervan subscriptions, and the possibility of buying one of our vehicles available for sale. Rooted in a deep technological focus, our challenges are both exciting and demanding and require top talent and motivation to be successfully pursued. We are growing our team and looking for those interested in pursuing this dream with us and joining an ever-developing journey. THE ROLE We are looking for a Workforce Management 0–2 years in WFM, operations, analytics, or similar roles. Exposure to contact centers, BPO environments, or operational systems is a plus. WHAT WE OFFER The opportunity to contribute to the scaling of a unique global company in a fast-growing market. Work with outstanding professionals from multiple nationalities and backgrounds in a dynamic scale-up environment. Competitive benefits including health insurance, travel and education vouchers, road trips in our campervans, and free snacks and coffee in the office.", "summaryDescription" : "Workforce Management and Systems Intern at Indie Campers", "postedDate" : "2026-06-14T19:19:43.140", "createdAt" : "2026-06-14T19:19:43.140", "lastUpdated" : "2026-06-16T01:30:20.095", "ingestTimestamp" : "2026-06-14T19:19:43.140", "mongoId" : "6a2c7c8b74d8ee00a094db1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660674d8ee00a062b8f4", "title" : "Software Development Manager, Windows & Commercial Linux, EC2 Operating Systems", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:50:18.247", "fingerprint" : "d5536257d4a4ed9c5393c3b15155acc600d34eaae398beb6653f7ea4c1dad574", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443656/apply", "externalId" : "273a3aa3-9dec-4e1d-b125-a1325cf7f52e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Windows Server, Commercial Linux, AWS, EC2, Java, C#, C++", "professionalSkills" : [ "People management", "Technical expertise", "Cloud infrastructure", "Innovation", "Scalability", "Operational excellence", "Customer requirements", "Roadmap", "Architecture", "Automation", "Security scanning", "Patch management", "Product strategy", "Incident response", "Root cause analysis" ], "hardSkillsList" : [ "Operating systems", "Cloud infrastructure", "AMI building", "AMI testing", "AMI release", "AMI delivery pipelines", "Distributed software systems", "Service-oriented architecture", "Distributed programming", "Software development lifecycle", "Livesite operations" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "Operating systems", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "AMI building", "level" : "intermediate" }, { "name" : "AMI testing", "level" : "intermediate" }, { "name" : "AMI release", "level" : "intermediate" }, { "name" : "AMI delivery pipelines", "level" : "intermediate" }, { "name" : "Distributed software systems", "level" : "intermediate" }, { "name" : "Service-oriented architecture", "level" : "intermediate" }, { "name" : "Distributed programming", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" }, { "name" : "Livesite operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "Operating Systems, Cloud Infrastructure, AMI Delivery", "majorSkillsList" : [ "Operating Systems", "Cloud Infrastructure", "AMI Delivery" ], "coreResponsibilities" : "Lead systems and software engineers, Manage Windows Server and Linux AMI teams, Own technical roadmap, Own architecture, Own delivery of secure AMI pipelines, Drive adoption of best practices, Partner with commercial Linux vendors, Onboard, validate, and publish AMIs, Partner with Nitro teams, Ensure full testing on new EC2 Instance Types, Collaborate with cross-functional teams, Prioritize features, Resolve dependencies, Accelerate time-to-market, Hire engineers, Mentor engineers, Coach engineers, Develop engineers, Foster inclusive team culture, Define priorities, Influence long-term strategy, Ensure operational excellence, Monitor AMI systems, Respond to incidents, Perform root cause analysis, Improve AMI systems, Communicate progress to leadership, Communicate risks to leadership, Communicate technical designs to leadership", "teamCollaboration" : "Cross-functional teams; Senior leadership; Product management; Commercial Linux vendors; Security teams; AWS service owners; Nitro teams; Marketplace teams; Region/Partition teams", "projectManagementSkills" : [ "Roadmap planning", "Project management" ], "domainKnowledge" : "Operating systems; Cloud infrastructure; AWS architectures; Distributed systems; AMI delivery systems", "domainList" : [ "operating-systems", "cloud-infrastructure", "aws-architectures", "distributed-systems", "ami-delivery-systems" ], "domainSpecificKnowledge" : [ "Operating systems", "Cloud infrastructure", "AWS architectures", "Distributed systems", "AMI delivery systems" ], "toolProficiency" : [ "AWS", "EC2" ], "communicationSkills" : "Senior leadership communication", "documentationSkills" : "Amazon-style documents", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading definition/development, 3+ years Software Engineer experience, 1+ years technical leadership, 1+ years developing distributed software systems, Bachelor's degree or foreign equivalent, Knowledge of engineering practices", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting, hiring, mentoring, Experience managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon EC2 is a foundational part of the AWS cloud, powering millions of instances worldwide. The EC2 OS engineering organization builds, distributes, and releases the Amazon Machine Images (AMIs) that customers trust to run their most critical workloads across all AWS Regions and Partitions. Amazon is seeking an experienced Software Development Manager to lead the Windows and Commercial Linux AMI teams within EC2. This role focuses on delivering secure, high-quality, and performant AMIs that enable customers to launch Windows and partner Linux workloads efficiently across AWS. The successful candidate will own the end-to-end delivery of Windows Server AMIs and related systems that meet the highest standards. As an SDM, you will combine deep technical expertise in operating systems and cloud infrastructure with exceptional people management skills to drive innovation, scalability, and operational excellence. After joining, you will quickly become a key partner to the EC2 leadership team, where you will understand core business goals and customer requirements. In the first three months, you will review existing AMI release processes and operational mechanisms. You will be guiding your team of initially 9 engineers to collaborate with Microsoft, commercial Linux partners, security teams, and AWS service owners. In the upcoming months, you will drive continual improvements to AMI delivery pipelines while maintaining the highest bar for security, compliance, and availability. You will own key parts of the infrastructure that enables customer workloads across AWS regions and partitions worldwide. Key job responsibilities Lead and manage a team of systems and software development engineers focused on Windows Server and Commercial Linux AMI building, testing, and release across all AWS regions and partitions. Own the technical roadmap, architecture, and delivery of secure AMI pipelines optimized for performance on AWS architectures. Drive adoption of best practices in AMI automation, security scanning, patch management, and integration with upstream operating system vendors. Partner closely with commercial Linux vendors (Red Hat, Canonical, SUSE) to onboard, validate, and publish AMIs at AWS scale, ensuring seamless customer experience. Partner with Nitro teams to sure full testing of these operating systems on new EC2 Instance Types, ensuring full compatibility. Collaborate with cross-functional teams, including EC2, Security, Marketplace, and Region/Partition teams to prioritize features, resolve dependencies, and accelerate time-to-market. Hire, mentor, coach, and develop top engineering talent; foster an inclusive team culture focused on innovation, operational excellence, and high standards. Partner with product management and stakeholders to define priorities, working backwards from customer needs for security, compliance, and performance. Influence long-term strategy for AMI delivery systems, including tools, processes, and contributions to open-source projects. Ensure operational excellence: monitoring, incident response, root cause analysis, and continuous improvement of AMI build and release systems. Communicate effectively with senior leadership on progress, risks, and technical designs through Amazon-style documents and operational reviews. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience - 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience - 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager, Windows & Commercial Linux, EC2 Operating Systems at Amazon Development Center U.S., Inc.. Skills: Operating Systems, Cloud Infrastructure, AMI Delivery. Lead systems and software engineers. Manage Windows Server and Linux AMI teams", "postedDate" : "2026-06-13T15:34:21.290", "createdAt" : "2026-06-13T15:34:21.290", "lastUpdated" : "2026-06-15T03:50:18.247", "ingestTimestamp" : "2026-06-13T15:34:21.290", "mongoId" : "6a2a660674d8ee00a062b8f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443656/apply", "salaryAnnualMin" : 184000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Operating systems", "Cloud infrastructure", "AMI building", "AMI testing", "AMI release", "AMI delivery pipelines", "Distributed software systems", "Service-oriented architecture", "Distributed programming", "Software development lifecycle", "Livesite operations", "Leadership", "Mentoring", "Coaching", "Operating Systems", "Cloud Infrastructure", "AMI Delivery", "People management", "Technical expertise", "Innovation", "Scalability", "Operational excellence", "Customer requirements", "Roadmap", "Architecture", "Automation", "Security scanning", "Patch management", "Product strategy", "Incident response", "Root cause analysis", "Roadmap planning", "Project management", "AWS architectures", "Distributed systems", "AMI delivery systems", "AWS", "EC2" ], "skillCount" : 38, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69cf26132beec4dd3d90b5a0", "title" : "Operating Room Clinical Nurse", "company" : "InterHealth Staffing Company", "industry" : "Healthcare", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Operating Room Clinical Nurse in Tampa, FL, adjusted for mid-level seniority and full-time employment in the healthcare industry." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
Morsani Surgery Center (MORSANISUR)
13330 USF Laurel Drive
MDH 2nd Floor
Tampa, 33612

" ], "certifications" : [ "BLS", "ACLS", "PALS" ], "timestamp" : "2026-06-16T02:52:34.382", "fingerprint" : "83c5b42e39a6cd1e355e5081195fd460e058c4b0bd46884d5dfe1ceeebf4cd90", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=669679", "externalId" : "669679", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Nursing care delivery", "Nursing documentation", "Goal-directed plan" ], "hardSkillsList" : [ "Patient care", "Nursing process" ], "hardSkills" : [ { "name" : "Patient care", "level" : "intermediate" }, { "name" : "Nursing process", "level" : "intermediate" } ], "majorSkills" : "Operating Room experience, Nursing care delivery", "majorSkillsList" : [ "Operating Room experience", "Nursing care delivery" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan and implement nursing, Document nursing, Identify and report situations requiring further, Formulate and communicate goal-directed plan, Assure patient rights, Perform job duties in accordance with mission, vision", "domainKnowledge" : "Ambulatory surgery; Outpatient surgery", "domainList" : [ "ambulatory-surgery", "outpatient-surgery" ], "domainSpecificKnowledge" : [ "Ambulatory surgery", "Outpatient surgery" ], "documentationSkills" : "Nursing documentation", "qualificationsBasic" : "Graduate of an accredited School, License to practice as a Registered Nurse in Florida, BSN or ASN with greater than one year experience, 1 year of Operating Room experience, BLS & ACLS required", "qualificationsPreferred" : "Ambulatory/ Outpatient Surgery Center experience, Previous experience in an Emergency Department, Previous experience in an ICU, PALS preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of InterHealth Staffing Company and principles of quality improvement. Graduate of an accredited School of Nursing; licensure to practice as a Registered Nurse in the State of Florida. BSN or ASN with greater than one year experience required. 1 year of Operating Room experience required. Ambulatory/ Outpatient Surgery Center experience preferred. Previous experience in an Emergency Department or ICU preferred. BLS & ACLS required. PALS preferred. *This position does not work holidays and weekends. Tampa", "summaryDescription" : "Operating Room Clinical Nurse at InterHealth Staffing Company. Skills: Operating Room experience, Nursing care delivery. Deliver nursing care to patients. Plan and implement nursing", "createdAt" : "2026-06-14T19:47:33.922", "lastUpdated" : "2026-06-16T02:52:34.382", "ingestTimestamp" : "2026-06-14T19:47:33.922", "mongoId" : "69cf26132beec4dd3d90b5a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Patient care", "Nursing process", "Operating Room experience", "Nursing care delivery", "Nursing documentation", "Goal-directed plan", "Ambulatory surgery", "Outpatient surgery", "BLS", "ACLS", "PALS" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a7d7274d8ee00a0667438", "title" : "Senior Software Engineer — Platform & Distributed Systems (XTM Foundation)", "company" : "Filigran", "industry" : "Research & Development", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineer in France, adjusted for cybersecurity industry and onsite work mode." }, "location" : "France", "locations" : [ "France" ], "timestamp" : "2026-06-14T20:24:38.388", "fingerprint" : "ccc313b45f216c5a7a7e94bcad4c104252be0be9cf1e4a7ff26be9695bb8288d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/filigran/7cad51b2-d320-4e90-aca6-33737c1b13eb/application", "externalId" : "7cad51b2-d320-4e90-aca6-33737c1b13eb", "industryFunction" : { }, "structuredLocations" : [ { "country" : "France", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ElasticSearch, PostgreSQL, RabbitMQ, Redis, Graph databases", "professionalSkills" : [ "System design", "Architecture evolution", "Data processing capacity", "Technical standards", "Performance testing", "Data engineering" ], "hardSkillsList" : [ "Distributed systems", "Data pipelines", "Event-driven systems", "Message brokers", "Performance benchmarking", "Architectural analysis" ], "softSkillsList" : [ "Ownership mindset" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Message brokers", "level" : "intermediate" }, { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Architectural analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" } ], "majorSkills" : "Distributed systems, Platform engineering, Data processing, Architecture", "majorSkillsList" : [ "Distributed systems", "Platform engineering", "Data processing", "Architecture" ], "coreResponsibilities" : "Lead architecture evolution design, Lead architecture evolution implementation, Improve data processing throughput, Improve scalability, Identify bottlenecks, Resolve bottlenecks, Evaluate infrastructure technologies, Recommend infrastructure technologies, Evaluate messaging technologies, Recommend messaging technologies, Evaluate graph databases, Recommend graph databases, Evaluate CQRS/event sourcing patterns, Recommend CQRS/event sourcing patterns, Validate technologies through prototyping, Define cross-product standards, Enforce cross-product standards, Build performance testing infrastructure, Establish continuous performance monitoring, Collaborate with product engineering teams, Roll out architectural changes, Contribute to shared libraries, Contribute to common patterns, Contribute to platform tooling, Stay current with distributed systems, Stay current with data engineering landscape, Bring evaluated proposals", "teamCollaboration" : "Product engineering teams; XTM Foundation team; Cross-product teams", "domainKnowledge" : "Distributed systems fundamentals; Data-intensive platforms; Cyber threat management; Cybersecurity solutions", "domainList" : [ "distributed-systems-fundamentals", "data-intensive-platforms", "cyber-threat-management", "cybersecurity-solutions" ], "domainSpecificKnowledge" : [ "Distributed systems fundamentals", "Data-intensive platforms", "Cyber threat management", "Cybersecurity solutions" ], "communicationSkills" : "Written communication; Technical proposals", "continuousLearning" : "Stay current with landscape", "innovationCreativity" : "Prototyping; Evaluate new approaches", "problemSolvingSkills" : "Resolve bottlenecks; Architectural analysis; Troubleshooting", "outcomesObjectives" : "Increase data processing capacity; Raise technical bar", "qualificationsBasic" : "8–12 years of experience building and operating distributed, high-throughput systems, Proven track record designing architectures for data-intensive platforms, Deep understanding of distributed systems fundamentals, Broad knowledge of backend languages and ecosystems, Deep familiarity with data storage and messaging technologies, Ability to build performance benchmarks from scratch, Excellent system design skills, Excellent written communication skills, Comfortable working in a remote-first, async culture, Clear communicator in English, Autonomy and ownership mindset", "qualificationsPreferred" : "Experience with graph databases, Experience with CQRS/event sourcing patterns", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83C\uDF00 THE COMPANY Filigran, founded in October 2022, stands out in the cybertech ecosystem for its commitment to revolutionizing cyber threat management with a proactive approach. Its mission is to develop innovative open-source solutions designed to anticipate cyber threats, identify security gaps, and strengthen organizational security posture. Filigran solutions are now trusted by over 6,000 public and private organizations worldwide. \uD83C\uDFAF THE ROLE We're looking for a Senior Software Engineer with deep expertise in distributed systems and platform engineering to join the XTM Foundation team — Filigran's cross-product engineering team responsible for architecture, quality, shared tooling, and technical standards across the XTM Suite (OpenCTI, OpenAEV, OpenGRC). You will be the technical owner of our most ambitious infrastructure challenge: designing the architecture evolution to increase data processing capacity. You will define the patterns and standards that govern how our products communicate, scale, and evolve — working closely with product engineering teams to turn architectural vision into reality. This is a high-impact, hands-on role. You won't just design on paper — you'll prototype, benchmark, validate, and help teams implement. You'll bring rigor and pragmatism to some of the hardest technical problems in our roadmap. \uD83D\uDCBC YOUR RESPONSIBILITIES - Lead the design and implementation of architecture evolution, targeting significant improvement in data processing throughput and scalability. - Identify and resolve bottlenecks across the current data pipeline (ElasticSearch, PostgreSQL, RabbitMQ, Redis) through rigorous profiling, benchmarking, and architectural analysis. - Evaluate and recommend infrastructure and messaging technologies, alternative graph databases, CQRS/event sourcing patterns, and validate them through hands-on prototyping. - Define and enforce cross-product standards for inter-service communication, data consistency, and system observability. - Build performance testing infrastructure from the ground up — establishing continuous performance monitoring as a first-class engineering practice across the XTM Suite. - Collaborate with product engineering teams (~60 engineers) to roll out architectural changes progressively and safely, with zero-downtime migrations where possible. - Contribute to the XTM Foundation team's broader mission: shared libraries, common patterns, and platform-level tooling that raise the bar for all product teams. - Stay current with the distributed systems and data engineering landscape, bringing well-evaluated proposals to the team. \uD83E\uDD1D WHO YOU'LL WORK WITH - Reports to: VP of Technology. - Key collaborators: Staff Engineers across OpenCTI, OpenAEV, and OpenGRC product teams; VP of Technology; CTO. - Working model: You will split your time between XTM Foundation team work (research, evaluation, prototyping) and embedded collaboration with product teams to implement and validate changes in real-world conditions. \uD83E\uDDEC PROFILE WE'RE LOOKING FOR - 8–12 years of experience building and operating distributed, high-throughput systems in production environments. - Proven track record designing architectures for data-intensive platforms (data pipelines, event-driven systems, graph databases, or equivalent). - Deep understanding of distributed systems fundamentals: consistency models, partitioning, replication, backpressure, fault tolerance, and observability. - Broad knowledge of backend languages and ecosystems — you've worked with multiple languages and paradigms, and you know how to pick the right tool for the job. - Deep familiarity with data storage and messaging technologies — you have hands-on experience with a range of databases (relational, search, graph, columnar) and message brokers, and you understand the trade-offs between them. - Ability to build performance benchmarks from scratch and translate results into clear architectural decisions. - Excellent system design and written communication skills — you can turn complex tradeoffs into actionable proposals that engineers and leadership can act on. - Comfortable working in a remote-first, async culture with teams across multiple time zones; clear communicator in English. - Autonomy and ownership mindset: you drive problems to resolution without waiting for direction, and you enable others rather than becoming a bottleneck. \uD83C\uDFD7️ ABOUT XTM FOUNDATION XTM Foundation is Filigran's cross-product engineering team, created to raise the technical bar across the entire XTM Suite. The team owns the problems that no single product team can solve alone: shared architecture, inter-product communication standards, common UI components, CI/CD infrastructure, test quality, developer experience, and AI-assisted development practices. XTM Foundation engineers work closely with all product teams — not as gatekeepers, but as force multipliers. They bring deep expertise, evaluate new approaches before rolling them out at scale, and help 60+ engineers build better software, faster. \uD83C\uDF31 WHY JOIN FILIGRAN? MORE THAN JUST A JOB. We’re a fast-growing, global, and fully remote company building open-source cybersecurity solutions, increasingly powered by AI, to help defense teams anticipate threats and act faster. ⭐ What we believe We believe we do work that matters, uniting defenders into a global community to make security more open, resilient & collaborative. \uD83D\uDCBB How we work We do work that matters by combining strong engineering standards with emerging technologies, including AI, to move faster and smarter. \uD83E\uDDED What guides us We make our work matter by building a culture grounded in our CORE values of Cohesion, Openness, Responsibility, and Equity. The principles that guide how we make decisions, treat people, and grow together, especially when no one’s watching. \uD83D\uDCB0 COMPENSATION & BENEFITS - Competitive pay + equity - everyone shares in our success - Remote-first, flexible, and balanced - work that fits your life - Your setup, your choice - pick the gear that works for you - Twice-a-year gatherings - we meet in person for regional and global offsites to connect, collaborate, and strengthen our culture beyond the screen \uD83C\uDF0D EQUAL EMPLOYMENT OPPORTUNITY We enable cybersecurity through inclusion - from code to culture. At Filigran, we are proud to be an equal opportunity employer. We believe diversity of our people make our products and our team stronger. We welcome talent of every background, identity, and lived experience, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status. What matters here is what you bring, not what you look like, where you’re from, or how you identify. \uD83D\uDE80 READY TO JOIN US? Apply now and help us build the future of the cybersecurity ecosystem, together.", "summaryDescription" : "Senior Software Engineer — Platform & Distributed Systems (XTM Foundation) at Filigran. Skills: Distributed systems, Platform engineering, Data processing, Architecture. Lead architecture evolution design. Lead architecture evolution implementation", "postedDate" : "2026-06-11T20:12:18.264", "createdAt" : "2026-06-11T20:12:18.264", "lastUpdated" : "2026-06-14T20:24:38.388", "ingestTimestamp" : "2026-06-11T20:12:18.264", "mongoId" : "6a2a7d7274d8ee00a0667438", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Data pipelines", "Event-driven systems", "Message brokers", "Performance benchmarking", "Architectural analysis", "Ownership mindset", "Platform engineering", "Data processing", "Architecture", "System design", "Architecture evolution", "Data processing capacity", "Technical standards", "Performance testing", "Data engineering", "Distributed systems fundamentals", "Data-intensive platforms", "Cyber threat management", "Cybersecurity solutions" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "xtm-hub", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybertech" }, { "id" : "6a2c733974d8ee00a0932a03", "title" : "Business Intelligence and Systems Analyst", "company" : "EP Equipment", "industry" : "Manufacturing", "salary" : { "min" : 56000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence and Systems Analyst in the Logistics industry in Cologne, Germany, adjusted for company size and specific industry." }, "location" : "Köln, DE", "locations" : [ "Köln", "DE" ], "timestamp" : "2026-06-16T03:36:59.988", "fingerprint" : "2e8c0557ecb977177f462c9fee4d3a90654603cdfe828ee47c0ffb21b1d0563c", "source" : "personio", "language" : "en", "applyUrl" : "https://ep-equipment-europe.jobs.personio.de/job/2661120", "externalId" : "2661120", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Köln", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Köln, Germany", "technicalSkills" : "Power BI, DAX, Power Query, SQL, HubSpot, Excel, VBA, Sage, SAP HANA", "professionalSkills" : [ "Data modelling", "Process documentation" ], "hardSkillsList" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement" ], "hardSkills" : [ { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Pipeline hygiene", "level" : "intermediate" }, { "name" : "Spreadsheet retirement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analysis, Systems analysis", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Systems analysis" ], "coreResponsibilities" : "Pull data into Power BI, Build Power BI datasets, Reconcile data across systems, Ensure pipeline hygiene, Retire business spreadsheets, Map data flow", "teamCollaboration" : "Commercial teams; Finance teams; Country MDs; Finance directors", "domainKnowledge" : "Order to cash; After-sales service; Multi-entity operations", "domainList" : [ "order-to-cash", "after-sales-service", "multi-entity-operations" ], "domainSpecificKnowledge" : [ "Order to cash", "After-sales service", "Multi-entity operations" ], "toolProficiency" : [ "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "communicationSkills" : "Explain discrepancies", "documentationSkills" : "Process documentation; Map data flow", "continuousLearning" : "Grow with us", "problemSolvingSkills" : "Trace numbers to source; Explain discrepancies", "outcomesObjectives" : "Turn operations into trusted numbers; Make business flow legible in data; Ensure reporting tells same story", "qualificationsBasic" : "Power BI experience, Trace numbers to source, Understand business flow, Comfortable across CRM, ERP, BI, Fluent English, Power BI data modelling, Power BI DAX, Power BI Power Query, SQL query Sage, SQL query SAP HANA, HubSpot CRM data structure, HubSpot pipeline reporting, Excel proficiency, Power Query proficiency, Process documentation discipline, Map data flow", "qualificationsPreferred" : "VBA proficiency, BPMN proficiency", "workSiteFlexibility" : "Flexible", "rawDescription" : "Your responsibilities We are looking for someone who turns how EP Equipment runs into numbers people trust. EP Equipment is growing fast. Our commercial pipeline lives in HubSpot, our orders and finance run through Sage, and our stock and ledgers sit in SAP HANA. Your job is to pull them all together into Power BI dashboards that our country MDs and finance directors open every morning. When a number on the dashboard is questioned, you can trace it back to the order, the invoice, and the deal, and explain it. This is a flow-first role, not a tool-first one. We care that you understand how a dealer order becomes a delivered forklift, an invoiced job, and a serviced machine, and that you can make that flow legible in data: The reporting layer: Power BI datasets and dashboards that the commercial and finance teams run on. You are responsible for the model underneath them, not just the visuals on top. One number, one meaning: data reconciled across HubSpot, Sage and SAP HANA so the pipeline, the order book and the ledger tell the same story. CRM data quality in HubSpot: pipeline hygiene, properties and structure clean enough that the reporting on top of it can be trusted. Spreadsheet retirement: if a controller is keeping a workbook the business depends on, you replace it with a governed dashboard. What your team does Your profile You have built Power BI that people actually open every morning, not a deck of charts nobody returns to. You can trace a number from a dashboard back to the order, the invoice and the CRM deal, and explain a discrepancy without waiting for IT. You understand the business flow behind the data (order to cash, after-sales, multi-entity), not just the DAX. You are comfortable sitting across CRM, ERP and BI without needing to own any single one of them. Fluent in German; a good working level of English. On the technical side Power BI : data modelling, DAX and Power Query. You build the datasets, not just the charts. SQL: you can query Sage and SAP HANA sources yourself when a report does not add up. HubSpot: CRM data structure, properties and pipeline reporting. Direct experience preferred; strong CRM experience elsewhere works if you pick things up fast. Excel & Power Query, and ideally some VBA, for the workbooks the business still runs on today. Process documentation discipline: BPMN or equivalent. You can map the flow you are reporting on, not just describe it. Even if you are not yet confident in every area, we look forward to hearing from you if you are keen to grow with us. Why us? Modern working environment: Attractive location in Cologne-Mülheim, easily accessible by car and public transport. Start-up flair: A company that thinks innovatively and at the same time has a stable market position. You can grow with us. International team: Work in a multicultural team with colleagues from more than 14 countries. Career opportunities: Take on responsibility early and develop personally and professionally. Public transport, parking space for cars and bikes,drinks, parking, fruits, table football, table tennis. Get in contact with EP Send your CV and one paragraph on a report or dashboard you built that changed a decision: what was wrong or unclear before, what you built, and what the business measured after. Contact: recruiting@ep-equipment.eu", "summaryDescription" : "Business Intelligence and Systems Analyst at EP Equipment. Skills: Business intelligence, Data analysis, Systems analysis. Pull data into Power BI. 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Chief Operating Officer

Chief Operating Officer

Chief Operating Officer

Chief Operating Officer

Chief Operating Officer

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