{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"69c5d84c-06a1-41dc-b23b-267d5a477fa1","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Distinguished Engineer, Core DevOps","slug":"distinguished-engineer-core-devops-814dd2bb","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n About the Role \n We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company.\n Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them.\n GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering.\n What You'll Do \n \n Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives.\n Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go.\n Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org.\n Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it.\n Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it.\n Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it.\n Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group.\n Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines.\n Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity.\n Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome.\n Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate.\n Ensure designs","salary_min":250000,"salary_max":349000,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"principal","tags":["distributed-systems","llm","agents","devops"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8831350002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-25T17:37:29Z","expires_at":"2026-11-13T16:57:54.66556Z","created_at":"2026-10-14T15:21:34.838146Z","updated_at":"2026-10-14T16:57:54.66882Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/69c5d84c-06a1-41dc-b23b-267d5a477fa1"},{"id":"78defaab-dce1-41a4-934f-7cf092ad6b7a","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior/Staff Site Reliability Engineer","slug":"seniorstaff-site-reliability-engineer-e18e78e1","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product,  the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\nWe are seeking a hands-on Senior OR Staff Site Reliability Engineer to own and evolve the reliability strategy, operating model, and engineering-wide standards supporting our platform.  This is a foundational role for an experienced engineer who will set technical direction across teams, lead the highest-impact reliability initiatives, and establish the practices and systems that enable engineering to operate production services safely.\n\n\n\nWhat You’ll Do\n\n - Own and evolve the engineering-wide SRE strategy, operating model, and reliability standards, aligning them to customer impact, business priorities, and risk.\n\n - Lead cross-functional alignment across Infrastructure, product, service, security, and business stakeholders to improve reliability, observability, incident response, and operational readiness across multiple teams.\n\n - Establish an organization-wide approach to service ownership, meaningful SLIs and SLOs, and error budgets for critical customer paths and services.\n\n - Define and drive adoption of observability standards across pipelines and platform components that report on service health, performance and operational risk.\n\n - Set the standard for dashboards, actionable alerting, runbooks, and escalation paths.\n\n - Drive end to end complex cross-functional reliability initiatives.\n\n - Set and raise the engineering wide bar for incident management, incident command, on-call health, post-incident learning, and recovery readiness.\n\n - Shape the technical direction, operationable model, and growth path of the SRE function.\n\n - Participate in a 24/7 on-call rotation and help design an on-call model that is sustainable, appropriately staffed, and continuously improved.\n\n\n\nWhat You’ll Bring\n\n - Experience designing, operating, and troubleshooting large scale distributed systems in production environments.\n\n - Deep knowledge of reliability engineering, observability, incident management, and production operations, with demonstrated ability to turn that knowledge into standards and practices adopted by others\n\n - Experience in establishing SLIs, SLOs, actionable alerts, observability, and service ownership.\n\n - Backend experience building backend systems and automation that reduce optional toil, strengthen safeguards, and operational efficiency.\n\n - Experience in leading high severity incidents and improving incident response programs.\n\n - Excellent written and verbal communication skills including technical designs, runbooks, postmortems, and operational documentation.\n\n\n\nRequired Tech Stack Experience\n\n - Python and Terraform (Infrastructure as Code), or equivalent automation and infrastructure-as-code tools.\n\n - Experience with Observability tools such as Datadog, New Relic, Grafana, or equivalent platforms.\n\n - Experience operating production services in AWS and Kubernetes\n\n - Experience with CI/CD pipelines such as Gitlab CI, ArgoCD, or GitOps workflows..\n\n\n\n\nTRAVEL REQUIRED\n\nWe are a fully remote company, and this job may require up to 10% of travel to be successful. Travel primarily consists of team off-sites and in-person project kick-offs.\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insuranc","salary_min":199750,"salary_max":270000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","security","distributed-systems","devops"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/64a3a2aa-eeed-4f86-95ca-716108e507a4/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-25T15:41:41.281Z","expires_at":"2026-11-13T16:56:49.894583Z","created_at":"2026-10-14T15:20:34.916921Z","updated_at":"2026-10-14T16:56:49.89804Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/78defaab-dce1-41a4-934f-7cf092ad6b7a"},{"id":"71918b47-6d14-4837-99c1-26bf0c070545","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Site Reliability Engineer (High Performance Computing) ","slug":"site-reliability-engineer-high-performance-computing-86e8c5e0","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SITE RELIABILITY ENGINEER (HIGH PERFORMANCE COMPUTING) \n SpaceX HPC is a shared compute platform used across the company — vehicle and structures simulation, machine learning, AI inference, and more. We support every program at SpaceX to design and operate the worlds most advanced rockets and satellites. This role exists to put a real Site Reliability Engineer operating model on these capabilities and accelerating the world class engineering at SpaceX: toil reduction, automation, observability, and a sustainable incident process.\n We are looking for a Site Reliability Engineer who wants to own everything from Linux machines and our Infrastructure as Code, storage, and user facing applications – the whole ecosystem as a product, not as a ticket queue. You do not need a prior HPC title. You do need production instincts — you have operated real infrastructure, you write code to delete toil, and you care about whether users can actually get work done, not just whether nodes ping. You’ll work alongside HPC systems engineers who design and commission clusters to help make them more reliable and provide world class services for world class engineers.\n Aerospace experience is not required. We value engineers who treat teammates with fairness and respect, who are self-critical, and who will take ownership of hard production problems.\n RESPONSIBILITIES: \n \n Participate in the team's on-call rotation; practice sustainable incident response and blameless postmortems\n Manage node lifecycle with infrastructure as code: OS images, firmware, configuration management, kernel and driver stack\n Build observability for both HPC administrators and end users — cluster, node, and storage health for operators, and job/workflow-level signal for the people running work on the platform\n Reduce toil with automation; split time between operating production systems and writing the software that makes that work smaller\n Sustainably manage resources, including compute and storage\n Lead capacity planning with users across the company: understand what they will need next, and turn that into a concrete picture of tomorrow's compute and storage\n Collaborate with HPC systems engineers and with engineers across all disciplines across the company on operable, maintainable infrastructure\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, engineering, math, or a scientific discipline; OR 2+ years of professional experience operating production infrastructure in lieu of a degree\n 2+ years of experience with Linux operating systems in production\n 2+ years of experience operating production infrastructure (servers, services, or networks), including monitoring, debugging, and repairing what you own\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n 2+ years of professional experience in SRE, DevOps, or production infrastructure engineering\n Experience with monitoring and alerting (Prometheus, Grafana, Nagios, or similar)\n Experience deploying and maintaining configuration management or infrastructure as code (Ansible, Puppet, Terraform, or similar)\n Experience writing scripts/code (eg. Python or similar languages) to automate common tasks\n Experience with containers (Docker, Podman, Singularity/Apptainer)\n Experience with Kubernetes administration for on-premise deployment\n Experience with distributed or high-performance storage (VAST or similar), including capacity, performance, and lifecycle management\n Familiarity with HPC clusters, schedulers (Slurm, PBS, LSF), or GPU compute — not required; we will teach this\n Familiarity with scientific computing (CFD, FEA) and/or ML training workloads (PyTorch, TensorFlow, CUDA) and/or AI inference workloads\n Good understanding of version control, testing, continuous integration, build, deployment and monitoring\n Ability to communicate clearly with users, peers, and vendors in both incident and design settings\n Comfortable working with mission-critical and sensitive systems, with a sense of urgency appropriate to the responsibilities\n Eligibility for access to classified material up to TS/SCI with polygraph\n \n ADDITIONAL REQUIREMENTS: \n \n Position is based in Hawthorne, CA and is primarily on-site\n Must be able to participate in an on-call rotation\n Must be willing to work extended hours and weekends as needed for incidents, cluster bring-up, and time-critical failures\n \n COMPENSATION AND BENEFITS: \nPay Range: \nLevel 1: $125,000.00 - $160,000.00 Level 2: $145,000.00 - $195,000.00 \n Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.\n Base salary is just one part of your total rewa","salary_min":145000,"salary_max":195000,"location":"Hawthorne, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["gpu","tensorflow","pytorch","devops"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8831632002?gh_jid=8831632002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T15:58:59Z","expires_at":"2026-11-13T17:02:51.630554Z","created_at":"2026-10-14T15:24:54.667919Z","updated_at":"2026-10-14T17:02:51.633735Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/71918b47-6d14-4837-99c1-26bf0c070545"},{"id":"e83f9b8b-565f-4a94-b2f4-03b79a6f7843","company_id":"2114efab-ea67-411b-bfb8-7899153105f3","title":"Member of Technical Staff, Production Site Reliability Engineer","slug":"member-of-technical-staff-site-reliability-engineer-369fc8ef","description":"Overview\n\nInferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.\n\nAbout the Role\n\nWe're looking for a Site Reliability Engineer to make Inferact's vLLM-powered inference services dependable in production. You'll work alongside the engineers building the platform, bringing a reliability perspective to how systems are designed, shipped, and operated. This is a hands-on engineering role for someone who thinks about failure before launch, simplifies operations, and writes software that makes reliable inference possible at scale.\n\nYou'll help own reliability across the production lifecycle, from release safety and observability to incident response and recovery. You'll define SLOs around availability, latency, and successful inference requests; build monitoring that helps engineers pinpoint failures; and automate recurring operational work. When incidents occur, you'll drive mitigation, coordinate escalation, and lead post-mortems that result in concrete prevention work. You'll also partner with engineering on capacity planning and operational readiness so the platform can grow without becoming harder to operate.\n\n\n\nSkills and Qualifications\n\nMinimum qualifications:\n\n - Bachelor's degree or equivalent experience in computer science, engineering, systems, infrastructure, or similar.\n\n - Hands-on experience building or operating production distributed systems, cloud infrastructure, or services where reliability has meaningful user or business impact.\n\n - Strong programming or scripting ability in Python, Go, Bash, or similar, with experience building tools and automation that solve operational problems.\n\n - Experience responding to significant production incidents, including mitigation, root cause analysis, escalation, and following corrective actions through to completion.\n\n - Practical understanding of service-level objectives (SLOs), service-level indicators (SLIs), error budgets, and alerting that distinguishes user-impacting failures from noise.\n\n - Strong Linux, networking, and systems debugging fundamentals, with the ability to investigate failures across application and infrastructure boundaries.\n\n - Clear communication, sound judgment under pressure, and the ability to work with engineering teams to identify failure modes and make systems simpler to operate.\n\nPreferred qualifications:\n\n - Experience supporting AI inference, model serving, ML infrastructure, GPU workloads, or other latency-sensitive, high-throughput services.\n\n - Experience deploying, operating, and debugging Kubernetes-based services, with familiarity with Docker, Terraform, or comparable infrastructure tooling.\n\n - Experience building observability with metrics, logs, traces, dashboards, and actionable alerts across distributed systems.\n\n - Experience improving deployment safety and recovery through automation, testing, release gates, and rollback procedures.\n\n - Experience with resource scheduling, capacity planning, or workload isolation in multi-tenant cloud or GPU environments.\n\nBonus points if you have:\n\n - Owned reliability for an inference service or other mission-critical platform through a period of significant growth.\n\n - Built automation that measurably reduced operational toil, improved recovery time, or prevented repeat incidents.\n\n - Established practical SLOs, post-mortem processes, or production-readiness reviews that helped engineering teams ship with greater confidence.\n\n\n\nLogistics\n\n - Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.\n\n - Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.\n\n - Visa sponsorship: We sponsor visas on a case-by-case basis.\n\n - Benefits: We offers generous health, dental, and vision benefits as well as 401(k) company match.","salary_min":200000,"salary_max":400000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","distributed-systems","cloud","mlops","devops","research"],"apply_url":"https://jobs.ashbyhq.com/inferact/ad992ead-2a9a-4694-8fca-0504354548cd/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T22:58:23.914Z","expires_at":"2026-11-13T16:58:50.501532Z","created_at":"2026-08-25T18:30:22.617589Z","updated_at":"2026-10-14T16:58:50.505465Z","company_name":"Inferact","company_slug":"inferact","company_logo_url":"https://www.google.com/s2/favicons?domain=inferact.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e83f9b8b-565f-4a94-b2f4-03b79a6f7843"},{"id":"48f5370e-0fca-4119-9914-073646b7089b","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Site Reliability Engineer, Safeguards ML Infra","slug":"staff-site-reliability-engineer-safeguards-ml-infra-14824a0d","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role: \n The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise.\n This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline.\n We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter.\n What you'll do: \n \n Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows.\n Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong.\n Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them.\n Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline.\n \n Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems.\n \n Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed.\n Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches.\n \n You may be a good fit if you: \n \n Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what \"verified\" means.\n Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path.\n Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes.\n Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built.\n Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale.\n Are proficient in Python; experience with Rust is a plus but not required.\n \n Strong candidates may also have: \n \n 8+ years of industry software engineering or site reliability engineering experience.\n A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines.\n Experience running launch or production-readiness review processes across multiple teams.\n Familiarity with LLM inference systems and the operational characteristics of transformer-based models.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning th","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","cloud","agents","llm","infrastructure","rust","devops"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5416709008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-04T17:02:37Z","expires_at":"2026-11-13T16:54:56.664214Z","created_at":"2026-09-05T13:30:36.213865Z","updated_at":"2026-10-14T16:54:56.667157Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/48f5370e-0fca-4119-9914-073646b7089b"},{"id":"017828a4-b1c3-40ba-80bf-94bd8d9cacc2","company_id":"f8de0913-0ef7-4e72-a9cf-81f8513ec624","title":"Software Engineer, DevOps","slug":"software-engineer-devops-e13f556d","description":"FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.\n","salary_min":115000,"salary_max":170000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","platform","devops","infrastructure"],"apply_url":"https://jobs.lever.co/field-ai/b6a02c7e-8726-47b7-b0b0-899644613c47/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-01T00:42:16.075Z","expires_at":"2026-11-13T17:00:38.152285Z","created_at":"2026-08-25T18:32:29.478451Z","updated_at":"2026-10-14T17:00:38.155078Z","company_name":"Field AI","company_slug":"field-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=field.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/017828a4-b1c3-40ba-80bf-94bd8d9cacc2"},{"id":"8d7c0e45-6a90-463c-b679-aaa0b8c3009a","company_id":"baca6349-80b0-417a-97a1-b31511860322","title":"Site Reliability Engineer","slug":"site-reliability-engineer-364db76b","description":"Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.\n\n \n\nWe're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.\n\n \n\nLearn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.\n\n\n\nThe Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions.\n\nThis team is responsible for:\n\n - Defining and enforcing reliability standards across engineering\n\n - Designing incident response processes and improving recovery times\n\n - Building observability systems and reliability tooling\n\n - Driving SLO adoption and production readiness reviews\n\n - Reducing operational toil through automation\n\nThe Reliability team works cross-functionally with Infrastructure, Product Engineering, and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving, automation-first thinking, and strong ownership of production systems.\n\nAs a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen.\n\nThis role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure.\n\nThis is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod.\n\nYour Impact\n\n - Increase platform uptime and reduce incident frequency and duration\n\n - Establish and operationalize SLIs/SLOs across services\n\n - Improve MTTR through better tooling, automation, and runbooks\n\n - Strengthen production readiness standards\n\n - Drive long-term systemic reliability improvements\n\nYou will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company.\n\nResponsibilities:\n\nReliability Engineering\n\n - Define and implement SLIs/SLOs for critical services\n\n - Lead incident response and coordinate cross-team mitigation efforts\n\n - Conduct blameless postmortems and ensure corrective actions are completed\n\n - Perform production readiness reviews for new services and features\n\n - Identify systemic risks and drive preventative improvements\n\nObservability \u0026 Monitoring\n\n - Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.)\n\n - Improve signal-to-noise ratio in alerts and reduce alert fatigue\n\n - Build internal tooling for reliability tracking and reporting\n\n - Improve visibility into GPU performance and distributed systems health\n\nAutomation \u0026 Toil Reduction\n\n - Automate recurring operational workflows\n\n - Build tools and scripts (Python, Go, Bash) to eliminate manual processes\n\n - Improve deployment safety through automation and guardrails\n\n - Strengthen CI/CD reliability and release processes\n\nCross-Functional Reliability Advocacy\n\n - Partner with engineering teams to improve system resilience\n\n - Provide guidance on fault tolerance, scalability, and failure handling\n\n - Contribute to architectural discussions with a reliability-first mindset\n\nRequirements:\n\n - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering\n\n - Strong Linux systems and Networking expertise\n\n - Experience managing containerized production systems\n\n - Strong understanding of distributed systems and failure modes\n\n - Experience defining and managing SLIs/SLOs\n\n - Proven incident response and postmortem leadership experience\n\n - Strong scripting or programming skills\n\n - Experience with monitoring and alerting systems\n\n - Excellent written communication skills\n\n - Successful completion of a background check\n\nPreferred:\n\n - Experience with GPU infrastructure or AI/ML platforms\n\n - Experience improving reliability in high-growth or large scale environments\n\n - Familiarity with GPU observability tooling\n\n - Experience with Infrastructure as Code\n\n - Experience working in startup environments\n\n - Experience building internal reliability platforms or frameworks\n\nWhat You’ll Receive:\n\n - The competit","salary_min":150000,"salary_max":200000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["gpu","distributed-systems","infrastructure","devops"],"apply_url":"https://jobs.ashbyhq.com/runpod/1d14340c-c9bd-4754-80f4-5c83980cd413/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T19:51:51.159Z","expires_at":"2026-11-13T17:38:28.058188Z","created_at":"2026-10-14T17:38:28.063047Z","updated_at":"2026-10-14T17:38:28.063047Z","company_name":"RunPod","company_slug":"runpod","company_logo_url":"https://www.google.com/s2/favicons?domain=runpod.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8d7c0e45-6a90-463c-b679-aaa0b8c3009a"},{"id":"c2d2e754-5871-4ceb-ad12-f753daa5aa62","company_id":"251179ba-863f-4ac2-a567-71afc97b19ae","title":"Senior Site Reliability Engineer","slug":"senior-site-reliability-engineer-cf10365d","description":"About the Role\nBefore an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments, and the infrastructure underneath that platform is what makes simulation at scale possible.\nWe're hiring a Senior Site Reliability Engineer to help build and operate that infrastructure. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation. You'll work across multi-region AWS infrastructure, operate Kubernetes at scale, and contribute directly to reliability, security, and deployment systems that the rest of the engineering org depends on.\nThis is a hands-on role with the broad ownership typical of a startup. You'll partner closely with platform, simulation, and ML teams to keep the system running smoothly and evolving. We're growing the team—two of these roles are open—and the work is substantive: multi-region GPU scheduling, Windows workloads on Kubernetes, large-scale batch simulation, and an enterprise product direction that will require rethinking parts of how we deploy and operate.\n","salary_min":145000,"salary_max":185000,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","cloud","devops","infrastructure"],"apply_url":"https://jobs.lever.co/paralleldomain/9d94e07a-4aae-44dd-856c-930cc6f39246/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-28T20:05:17.435Z","expires_at":"2026-11-13T16:59:08.051666Z","created_at":"2026-04-30T05:53:59.550834Z","updated_at":"2026-10-14T16:59:08.054235Z","company_name":"Parallel Domain","company_slug":"parallel-domain","company_logo_url":"https://www.google.com/s2/favicons?domain=paralleldomain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c2d2e754-5871-4ceb-ad12-f753daa5aa62"},{"id":"68470449-f449-4862-9c0d-f15fee9aad3e","company_id":"a0000000-0000-0000-0000-000000000003","title":"DevOps Engineer, Infrastructure \u0026 Security","slug":"devops-engineer-infrastructure-security-a4b4c992","description":"As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system.\n These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.\n Must have: \n \n At least an active TS/SCI clearance and the ability \u0026 willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. \n \n You will: \n \n Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.\n Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.\n Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.\n Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.\n Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.\n Document pipeline processes and configurations to ensure maintainability and knowledge transfer.\n Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes.\n Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.\n \n Ideally you'd have: \n \n 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role.\n Proven track record of building or significantly enhancing CI/CD pipelines.\n Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments.\n Experience working fluently with standard containerization \u0026 deployment technologies like Kubernetes, Terraform, Docker, etc.\n Familiarity with cloud platforms (e.g., AWS, Azure, GCP).\n Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell).\n Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).\n Knowledge of software architecture, system design, and version control systems.\n Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems.\n Basic understanding of security best practices in software development and an eagerness to integrate them.\n A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows.\n Strong problem-solving, analytical, collaboration, and communication skills.\n \n Nice to haves: \n \n Experience with containerization technologies (e.g., Docker, Kubernetes).\n Exposure to machine learning lifecycles or MLOps concepts.\n Prior experience in classified environments.\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $198,400 — $311,000 USD \n The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado","salary_min":148800,"salary_max":233000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["fine-tuning","cloud","mlops","devops","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4674863005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-18T21:34:04Z","expires_at":"2026-11-13T16:55:02.940664Z","created_at":"2026-04-13T09:36:42.046044Z","updated_at":"2026-10-14T16:55:02.943727Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/68470449-f449-4862-9c0d-f15fee9aad3e"},{"id":"2e2b96a1-0862-4862-acb8-adb6282b70f0","company_id":"7551b4ca-b2b0-493a-ab58-a15bd9c50393","title":"Senior Infrastructure Engineer/SRE ","slug":"senior-infrastructure-engineersre-33a53499","description":"Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. \n Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.\n Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.\n \n \n About the role: \n As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.\n Responsibilities:\n \n Developer Toolchain . Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.\n Ensure reliability  of multi-cloud Kubernetes clusters and pipelines.\n Metrics, logging, analytics, and alerting  for performance and security across all endpoints and applications.\n Infrastructure-as-code  deployment tooling and supporting services on multiple cloud providers.\n Automate operations and engineering . Focus on automation so we can spend energy where it matters.\n Building machine learning infrastructure  that enables AI teams to train, test, and deploy on large-scale datasets.\n \n What we are looking for:\n \n \n 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.\n Deep proficiency with coding languages such as Golang or Python.\n Deep familiarity with container-related security best practices.\n Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.  Experience with GPU-enabled clusters is a bonus.\n Production experience with Kubernetes templating tools such as Helm or Kustomize.\n Production experience with IAC tools such as Terraform or CloudFormation.\n Production experience working with AWS and services such as IAM, S3, EC2, and EKS.\n Production experience with other cloud providers such as Google Cloud and Azure is a bonus.\n Production experience with database software such as PostgreSQL\n Experience with GitOps tooling such as Flux or Argo.\n Experience with CI/CD such as GitHub Actions.\n \n Perks \u0026 Benefits: \n We offer a comprehensive and people-first benefits package to support you at work and in life:\n \n Comprehensive medical, dental, and vision coverage with plans to fit you and your family\n Flexible PTO to take the time you need, when you need it\n Paid parental leave for all new parents welcoming a new child\n Retirement savings plan to help you plan for the future\n Remote work setup budget to help you create a productive home office\n Monthly wellness and communication stipend to keep you connected and balanced\n In-office meal program and commuter benefits provided for onsite employees\n \n Compensation at Cresta:  \n Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.\n The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.\n OTE Range : $205,000–$270,000 + Offers Equity\n Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording \u0026 AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scamme","salary_min":205000,"salary_max":270000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","agents","devops","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/cresta/jobs/5137153008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-01T23:53:42Z","expires_at":"2026-11-13T16:55:47.954382Z","created_at":"2026-04-13T09:39:51.526402Z","updated_at":"2026-10-14T16:55:47.957038Z","company_name":"Cresta","company_slug":"cresta","company_logo_url":"https://www.google.com/s2/favicons?domain=cresta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2e2b96a1-0862-4862-acb8-adb6282b70f0"},{"id":"c9923cc2-371f-4bb8-b7cb-84b54c2f3619","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Lead Site Reliability Engineer","slug":"lead-site-reliability-engineer-249dfb54","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n  \n About the Role: \n Glean is seeking a Site Reliability Engineering Lead to foster a culture of engineering excellence, drive technical strategy, and develop a high-performing, collaborative team. Your role is pivotal in ensuring our services meet stringent Service Level Objectives (SLOs) and in building resilient, automated production environments in the cloud. You'll lead a team and be responsible for products globally, providing technical leadership to key projects and empowering your team to do the same. \n Much of our software development focuses on building infrastructure to scale our operations in a hybrid cloud environment and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale and fast growth which are unique to Glean, while using your expertise in coding, algorithms, problem-solving, and SRE practices. We keep Glean applications up and running, ensuring our customers have the best and most reliable experience possible. \n You will: \n \n Technical Leadership and Mentorship : Play a key role in driving technical excellence and fostering a culture of reliability across engineering teams. You will lead by example, setting best practices for incident management, performance optimization, and automation. Influence best practices, drive cross-team collaborations, and contribute to the execution of key objectives in alignment with engineering leadership and cross-functional partners. Establish strong technical credibility, shaping architectural decisions and ensuring the delivery of high-quality, reliable systems. \n Ensure High Availability: Implement and maintain resilient cloud architectures, monitor system performance, and proactively identify and resolve potential bottlenecks or points of failure.  \n Incident Management: Participate in primary oncall rotation; cultivate technical curiosity and growth mindset, and a blameless postmortem culture within the team. Continuously optimize the on-call process for sustainability and efficiency. \n Automation and Tooling: Develop and maintain automation scripts, tools, and processes to streamline system deployment, monitoring, and management tasks. Your contributions will be vital in efficiently scaling cloud operations. \n Performance Optimization: Optimize cloud infrastructure and applications for performance, scalability, and cost-effectiveness. \n Security and Compliance: Collaborate with security engineers to implement best practices and ensure compliance with security standards and policies. \n Monitoring and Alerting: Design and configure advanced monitoring systems to gain insights into system behavior, set up alerts, and respond proactively to potential issues. Create and maintain comprehensive dashboards and playbooks for production on-call. \n Software Development Consultation: Engage actively in","salary_min":200000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","security","llm","cloud","agents","devops"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4654833005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-03T23:00:42Z","expires_at":"2026-11-13T16:55:35.134817Z","created_at":"2026-04-13T09:38:55.541153Z","updated_at":"2026-10-14T16:55:35.137924Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c9923cc2-371f-4bb8-b7cb-84b54c2f3619"},{"id":"faef06c2-1ca0-46fa-8726-198802cb9f93","company_id":"386fe9d9-0b35-4d37-bdcf-c61d636cf918","title":"Senior DevOps Engineer","slug":"senior-devops-engineer-9801c68e","description":"About EliseAI\n\nAt EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be. \n\nBy integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.\n\n\n\n - Housing: We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place.\n\n - Healthcare: We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork.\n   \n   \n\nWith EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $350 million https://eliseai.com/blog/intelligence-is-getting-cheaper-life-should-too funding round at a $4 billion valuation led by Andreessen Horowitz (a16z) and Bessemer Venture Partners to accelerate this mission.\n\n\n\nAbout The Role\n\nAs a DevOps Engineer at EliseAI, you will own the systems and processes that support reliable software deployment across multiple environments. You’ll be responsible for managing configuration, maintaining deployment workflows, and ensuring operational consistency as our infrastructure scales. This role requires close collaboration across engineering, product, and platform teams to support end-to-end delivery—from development through production. You’ll help build the foundation for how we deploy, monitor, and scale our systems as the company continues to grow.\n\n\n\nKey Responsibilities\n\n - Build, maintain, and improve infrastructure using AWS and modern DevOps practices\n\n - Design and implement monitoring, alerting, and incident response systems to ensure high availability\n\n - Automate deployment pipelines and manage CI/CD workflows\n\n - Collaborate with engineers to identify and resolve performance, scalability, and reliability issues\n\n - Improve system security and auditability across environments\n\n - Evaluate and introduce new tools and technologies to enhance operations\n\n\n\nMove at rocket speed, build something massive.\n\nWe’re scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard.\n\n\n\nRequirements\n\n - 3+ years of DevOps or infrastructure engineering experience, preferably at a high-growth startup\n\n - Strong AWS experience, including services like EC2, ECS, RDS, Lambda, and IAM\n\n - Proficiency in scripting languages (preferably Python) and infrastructure-as-code tools (e.g., Terraform)\n\n - Strong software engineering fundamentals and ability to debug and optimize complex systems\n\n - Experience with CI/CD systems such as GitHub Actions or similar\n\n - Ability to thrive in a fast-paced environment and take ownership of large initiatives from day one\n\n - Willingness to work in person at our office 4-5 days a week\n\n\n\nWhy Join\n\nGrowth and impact. It’s not often that you can get in on the ground floor of a funded (unicorn! https://www.eliseai.com/blog/eliseai-raises-250m-series-e) startup that’s scaling so fast. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you.\n\n\n\nBenefits\n\nIn addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits:\n\n - Equity in the company\n\n - Medical, Dental and Vision premiums covered at 100%\n\n - Fully paid parental leave\n\n - Commuter benefits\n\n - 401k benefits\n\n - Fitness \u0026 home services stipend to cover part of your expenses so you can focus on what matters\n\n - A collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the office\n\n - Unlimited vacation and paid holidays\n\n - We'll cover relocation packages and make the move exciting, not painful!\n\n\n\nJob Compensation Range\n\nThe salary range for this role is $230,000 - $320,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits \u0026 perks package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process.\n\n\n\nEliseAI prov","salary_min":230000,"salary_max":320000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","healthcare","devops"],"apply_url":"https://jobs.ashbyhq.com/eliseai/fe19cade-c6ec-4552-8b49-3f45107f2466/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-13T22:45:55.201Z","expires_at":"2026-11-13T17:03:02.721064Z","created_at":"2026-04-17T02:26:11.392316Z","updated_at":"2026-10-14T17:03:02.72457Z","company_name":"EliseAI","company_slug":"eliseai","company_logo_url":"https://www.google.com/s2/favicons?domain=eliseai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/faef06c2-1ca0-46fa-8726-198802cb9f93"},{"id":"1e2f1419-efb8-473a-ad2c-2ab9293416cc","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior/Lead Site Reliability Engineer – Federal","slug":"seniorlead-site-reliability-engineer-federal-ddd04a64","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n C3 AI is seeking a  Senior/Lead Site Reliability Engineer - Federal  to join our team in Tysons, VA or Redwood City, CA. \n This role requires US Citizenship.   Active US Government Security Secret clearance or higher is required (Top Secret or higher is preferred).  \n Responsibilities :\n \n Work with Federal customers to design and implement customized installations of the C3 AI Platform that meet unique access and security requirements of Federal environments\n Maximize system uptime and availability, ensuring functional and performance SLAs\n Establish end-to-end monitoring and alerting on all critical aspects\n Solve complex problems for critical services and build automation to prevent problem recurrence\n Initiate and lead scripting and automation to streamline system updates and upgrades\n Set up critical infrastructure, tools, and framework to streamline the deployment cycle\n Work cross-functionally with Services and Engineering teams\n Travel to customer site (up to 50%)\n \n Qualifications: \n \n Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study\n An active U.S. Government security clearance (Top Secret preferred)\n Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Kubernetes-based infrastructure in AWS and Azure clouds; on-premise deployment experience preferred\n Expertise in Linux Operating Systems, Networking, and Database concepts\n Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP\n Experience with Infrastructure-as-Code configurations such as Terraform, Ansible, or Puppet\n Experience in Ruby, Bash, or Python; to automate and monitor systems\n Excellent problem-solving, critical thinking, and communication skills\n Experience supporting as a DevOps or sys admin for commercial SaaS solutions. Customer facing experience is a plus.\n \n Candidates must be authorized to work in the United States without the need for current or future company sponsorship. \n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  \n California Base Pay Range\n $159,000 — $230,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":159000,"salary_max":230000,"location":"Tysons, VA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","agents","generative-ai","devops"],"apply_url":"https://c3.ai/job-description/8198282002?gh_jid=8198282002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-10-03T21:36:09Z","expires_at":"2026-11-13T16:58:24.332469Z","created_at":"2026-04-13T15:01:26.553639Z","updated_at":"2026-10-14T16:58:24.337161Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1e2f1419-efb8-473a-ad2c-2ab9293416cc"},{"id":"1c70d060-064e-42ef-9ded-af322fe5208d","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Staff Product Manager, Agentic Test Intelligence","slug":"staff-product-manager-agentic-test-intelligence-b6093726","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As Staff Product Manager, Test \u0026 Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk.\n You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control.\n At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle.\n What you'll do \n \n Define and communicate the Test \u0026 Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration.\n Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value.\n Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step.\n Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk.\n Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning.\n Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage.\n Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment.\n Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers.\n \n What you'll bring \n \n Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption.\n Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measuremen","salary_min":168000,"salary_max":285600,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","devops"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8871820002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T16:18:39Z","expires_at":"2026-11-13T16:57:54.761396Z","created_at":"2026-10-14T15:21:34.930646Z","updated_at":"2026-10-14T16:57:54.764834Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/1c70d060-064e-42ef-9ded-af322fe5208d"},{"id":"1f5a7822-46c7-4a9d-96fb-5b71cb38f832","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Associate Site Reliability Engineer/Site Reliability Engineer","slug":"associate-site-reliability-engineersite-reliability-engineer-37daad61","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n We are looking for Associate Site Reliability Engineer / Site Reliability Engineer to join our team at our HQ in Redwood City, CA.\n Responsibilities: \n \n Maximize system uptime and availability, ensuring functional and performance SLAs.\n Establish end-to-end monitoring and alerting on all critical aspects.\n Solve complex problems for critical services and build automation to prevent problem recurrence.\n Influence and create new designs, architectures, standards, and methods for supporting the platform.\n Initiate and lead scripting and automation to streamline system updates and upgrades.\n Set up critical infrastructure, tools, and framework to streamline the deployment cycle.\n Work cross-functionally with Services and Engineering teams.\n \n Qualifications: \n \n BS or MS in Computer Science, related field, or equivalent professional experience.\n Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Linux/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds.\n Expertise in Linux Operating Systems, Networking, and Database concepts.\n Experience deploying, upgrading, and troubleshooting Kubernetes clusters and workloads.\n Experience with Cassandra (or another NoSQL alternative).\n Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP.\n Experience with configuration management systems such as Puppet.\n Experience in Bash or Python; to automate and monitor systems.\n Experience with IaC tools like Ansible or Terraform.\n Excellent problem-solving, critical thinking, and communication skills.\n Experience supporting as a DevOps or sys admin for commercial SaaS solutions.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  \n California Base Pay Range\n $90,000 — $160,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":90000,"salary_max":160000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["generative-ai","agents","devops"],"apply_url":"https://c3.ai/job-description/8879453002?gh_jid=8879453002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:02:25Z","expires_at":"2026-11-13T16:58:24.021437Z","created_at":"2026-10-14T15:22:02.985234Z","updated_at":"2026-10-14T16:58:24.024317Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/1f5a7822-46c7-4a9d-96fb-5b71cb38f832"},{"id":"9b970f66-b8e3-4c6d-8f7e-8735668a2ea6","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Sr. Site Reliability Engineer, AI Infrastructure (Starshield)","slug":"sr-site-reliability-engineer-ai-infrastructure-starshield-4c7ab17a","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SR. SITE RELIABILITY ENGINEER (STARSHIELD)  \n At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy the Starshield constellation. Starshield is the world’s largest US government satellite constellation and is tasked with providing immediate access to critical intelligence and national security data for the US government anywhere on the globe. We design, build, test, and operate all parts of the system – receivers that allow users to connect within minutes, and the software that brings it all together. We’ve only begun to scratch the surface of Starshield's global impact and are looking for best-in-class engineers to help us further our ambitious goals.\n As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure which supports critical national security missions. These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms. You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.\n RESPONSIBILITIES:  \n \n Manage GPU/CPU infrastructure deployments to Top Secret data centers\n Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms\n Design, validate, and productize solutions for AI clusters (100k+ GPU scale)\n Develop automation to deploy and manage on-premise Kubernetes\\AI clusters, and operating systems\n Deploy and manage core infrastructure such as databases, monitoring and distributed storage\n Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products\n Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement\n Monitoring and alerting supporting systems to have high availability\n Identify areas for improvement and create innovative solutions that enable high system availability\n Mentor and train junior engineers\n As a senior engineer you must lead the team to technical excellence – your decisions guide the team\n \n BASIC QUALIFICATIONS: \n \n Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 5+ years of professional experience with Linux operating systems; OR 7+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree\n 5+ year of experience with Kubernetes\n 5+ year of experience managing Linux operating systems\n Experience with Terraform, Ansible, or other infrastructure tools\n Experience with containerization technologies (i.e. OCI containers, Kubernetes)\n Experience scripting in Bash, Python, or other similar languages\n Development experience in Python, C++, or Go\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n 5+ years of experience with Python and Python-based development frameworks\n Experience managing Kubernetes clusters, not just using them\n Knowledge of Linux boot process and systems configuration\n Deep understanding of testing, continuous integration, build, deployment \u0026 continuous monitoring\n Understanding of relevant build technologies, such as Bazel and Makefiles\n Focus on performance bottlenecks and performance improvement techniques\n Understanding of distributed databases and data modeling\n Experience with automatically managing thousands of servers (eg: Terraform or Ansible)\n Strong networking knowledge of TCP/IP\n Cloud virtualization experience (as the cloud provider)\n Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin)\n Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations\n Active Top Secret, Top Secret SCI, or DOE Level Q clearance\n \n ADDITIONAL REQUIREMENTS: \n \n Must be willing to work extended hours and weekends as needed\n Must be willing to travel domestically and globally in the future when needed\n This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.\n \n COMPENSATION AND BENEFITS: Pay Range: Level 3: $165,000.00 - $265,000.00 \n Your actual level and base salary will be determined on a case-","salary_min":165000,"salary_max":265000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["gpu","infrastructure","devops"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8829684002?gh_jid=8829684002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T01:35:25Z","expires_at":"2026-11-13T17:02:51.837023Z","created_at":"2026-10-14T15:24:54.866406Z","updated_at":"2026-10-14T17:02:51.840511Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/9b970f66-b8e3-4c6d-8f7e-8735668a2ea6"},{"id":"e059a346-8d46-4ce9-a846-68a030f592ae","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Site Reliability Engineer, AI Infrastructure (Starshield)","slug":"site-reliability-engineer-ai-infrastructure-starshield-699f3b03","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SITE RELIABILITY ENGINEER (STARSHIELD) \n At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy the Starshield constellation. Starshield is the world’s largest US government satellite constellation and is tasked with providing immediate access to critical intelligence and national security data for the US government anywhere on the globe. We design, build, test, and operate all parts of the system – receivers that allow users to connect within minutes, and the software that brings it all together. We’ve only begun to scratch the surface of Starshield's global impact and are looking for best-in-class engineers to help us further our ambitious goals.\n As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure that supports critical national security missions. These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms. You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.\n RESPONSIBILITIES:  \n \n Manage GPU/CPU infrastructure deployments to Top Secret data centers\n Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms\n Design, validate, and productize solutions for AI clusters (100k+ GPU scale)\n Develop automation to deploy and manage on-premise Kubernetes\\AI clusters, and operating systems\n Deploy and manage core infrastructure such as databases, monitoring and distributed storage\n Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products\n Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement\n Monitoring and alerting supporting systems to have high availability\n Identify areas for improvement and create innovative solutions that enable high system availability\n \n BASIC QUALIFICATIONS: \n \n Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 1+ years of professional experience in site reliability engineering or DevOps; OR 3+ years of professional experience in site reliability engineering or DevOps in lieu of a degree\n 1+ years of professional experience with Linux operating systems\n Experience with Terraform, Ansible, or other infrastructure tools\n Experience with containerization technologies (i.e. OCI containers, Kubernetes)\n Experience scripting in Bash, Python, or other similar languages\n Development experience in Python, C++, or Go\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n 1+ years of experience with Python and Python-based development frameworks\n Experience managing Kubernetes clusters, not just using them\n Knowledge of Linux boot process and systems configuration\n Deep understanding of testing, continuous integration, build, deployment \u0026 continuous monitoring\n Understanding of relevant build technologies, such as Bazel and Makefiles\n Focus on performance bottlenecks and performance improvement techniques\n Understanding of distributed databases and data modeling\n Experience with automatically managing thousands of servers (eg: Terraform or Ansible)\n Strong networking knowledge of TCP/IP\n Cloud virtualization experience (as the cloud provider)\n Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin)\n Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations\n Active Top Secret, Top Secret SCI, or DOE Level Q clearance\n \n ADDITIONAL REQUIREMENTS: \n \n Must be willing to work extended hours and weekends as needed\n Must be willing to travel domestically and globally in the future when needed\n This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.\n \n COMPENSATION AND BENEFITS: Pay Range: Level 1: $125,000.00 - $160,000.00 Level 2: $145,000.00 - $195,000.00 \n Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.\n Base sala","salary_min":145000,"salary_max":195000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["gpu","devops","infrastructure"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8829681002?gh_jid=8829681002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T01:34:05Z","expires_at":"2026-11-13T17:02:51.602361Z","created_at":"2026-10-14T15:24:54.651805Z","updated_at":"2026-10-14T17:02:51.608015Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/e059a346-8d46-4ce9-a846-68a030f592ae"},{"id":"30c62596-0b01-4d22-b7bf-026484006e27","company_id":"9bd78d17-fe7f-46b8-82c9-7c3499c319cd","title":"DevOps Engineer","slug":"devops-engineer-baac7f3f","description":"About Arize\n AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI \u0026 Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.\n We’re a Series C  company backed by top-tier investors,   with  over $135M in funding  and a rapidly growing customer base of  150+ leading enterprises and Fortune 500 companies.  Customers like  Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.\n The Team \n Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. \n What You’ll Do \n \n Work hands-on with the infrastructure that supports our distributed \u0026 highly scalable services in both SaaS and on-prem offerings \n Gather requirements from customers and adapt manifests and software to support new environments \n Use and augment monitoring tools to observe platform health, ensure performance and reliability \n Interact with the product team to test new features and package new on-prem releases \n Automate and optimize the release pipeline to make it as frictionless as possible \n Exhibit continuous curiosity for emerging technology that could solve our challenges \n \n What will set you apart: \n \n 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar\n Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs\n Experience and fluency in Kubernetes\n A self starter with an ability to thrived in a fast paced environment\n Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments\n Strong troubleshooting skills\n \n Bench Engineer Submissions: We do not accept resumes or candidate submissions for bench engineers—individuals currently employed by a staffing, consulting, or third-party organization who are being marketed for placement on client engagements. All candidates applying for consideration must be seeking direct employment with Arize and should not be presented as part of an agency or consulting firm’s available bench.\n The estimated annual salary for this role is between $150,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.\n While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. \n More About Arize\n Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.\n Learn more about what we're doing here:\n https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ \n https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ \n Diversity \u0026 Inclusion @ Arize \n Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture\n \n Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI\n Culturally conscious events such as LGBTQ trivia during pride month\n We have an active Lady Arizers subgroup","salary_min":150000,"salary_max":185000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["cloud","generative-ai","devops"],"apply_url":"https://job-boards.greenhouse.io/arizeai/jobs/6203635004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T18:32:21Z","expires_at":"2026-11-13T16:55:34.212379Z","created_at":"2026-10-14T15:19:24.329482Z","updated_at":"2026-10-14T16:55:34.215293Z","company_name":"Arize AI","company_slug":"arize-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=arize.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/30c62596-0b01-4d22-b7bf-026484006e27"},{"id":"357a82fe-a000-448e-bdf9-d83178487440","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Sr. Site Reliability Engineer, AI Infrastructure (Starshield)","slug":"sr-site-reliability-engineer-ai-infrastructure-starshield-4a6cb8fb","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SR. SITE RELIABILITY ENGINEER (STARSHIELD)  \n At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy the Starshield constellation. Starshield is the world’s largest US government satellite constellation and is tasked with providing immediate access to critical intelligence and national security data for the US government anywhere on the globe. We design, build, test, and operate all parts of the system – receivers that allow users to connect within minutes, and the software that brings it all together. We’ve only begun to scratch the surface of Starshield's global impact and are looking for best-in-class engineers to help us further our ambitious goals.\n As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure which supports critical national security missions. These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms. You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.\n RESPONSIBILITIES:  \n \n Manage GPU/CPU infrastructure deployments to Top Secret data centers\n Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms\n Design, validate, and productize solutions for AI clusters (100k+ GPU scale)\n Develop automation to deploy and manage on-premise Kubernetes\\AI clusters, and operating systems\n Deploy and manage core infrastructure such as databases, monitoring and distributed storage\n Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products\n Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement\n Monitoring and alerting supporting systems to have high availability\n Identify areas for improvement and create innovative solutions that enable high system availability\n Mentor and train junior engineers\n As a senior engineer you must lead the team to technical excellence – your decisions guide the team\n \n BASIC QUALIFICATIONS: \n \n Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 5+ years of professional experience with Linux operating systems; OR 7+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree\n 5+ year of experience with Kubernetes\n 5+ year of experience managing Linux operating systems\n Experience with Terraform, Ansible, or other infrastructure tools\n Experience with containerization technologies (i.e. OCI containers, Kubernetes)\n Experience scripting in Bash, Python, or other similar languages\n Development experience in Python, C++, or Go\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n 5+ years of experience with Python and Python-based development frameworks\n Experience managing Kubernetes clusters, not just using them\n Knowledge of Linux boot process and systems configuration\n Deep understanding of testing, continuous integration, build, deployment \u0026 continuous monitoring\n Understanding of relevant build technologies, such as Bazel and Makefiles\n Focus on performance bottlenecks and performance improvement techniques\n Understanding of distributed databases and data modeling\n Experience with automatically managing thousands of servers (eg: Terraform or Ansible)\n Strong networking knowledge of TCP/IP\n Cloud virtualization experience (as the cloud provider)\n Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin)\n Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations\n Active Top Secret, Top Secret SCI, or DOE Level Q clearance\n \n ADDITIONAL REQUIREMENTS: \n \n Must be willing to work extended hours and weekends as needed\n Must be willing to travel domestically and globally in the future when needed\n This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.\n \n COMPENSATION AND BENEFITS: \nPay Range: \nLevel 3: $165,000.00 - $265,000.00 \n Your actual level and base salary will be determined on a cas","salary_min":165000,"salary_max":265000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["gpu","devops","infrastructure"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8807844002?gh_jid=8807844002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-15T01:12:47Z","expires_at":"2026-11-13T17:02:51.842118Z","created_at":"2026-10-14T15:24:54.861409Z","updated_at":"2026-10-14T17:02:51.845738Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/357a82fe-a000-448e-bdf9-d83178487440"},{"id":"3fc2e69b-18e7-4b40-87c7-1d989c6dbcee","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Sr. Site Reliability Engineer, AI Infrastructure (Starshield)","slug":"sr-site-reliability-engineer-ai-infrastructure-starshield-c8822d24","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. 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While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. 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