{"id":1745846,"url":"https://alion.io/job/stanford-health-care-devops-engineer","title":"DevOps Engineer","company":{"id":1753318,"name":"Stanford Health Care","domain":"stanfordhealthcare.org","url":"https://alion.io/company/stanfordhealthcare","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-12T06:55:09Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":79,"max":104,"currency":"USD","period":"hour","gross":null,"usd_annual":208000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chef","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rust","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-06-30T00:00:00Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-12T11:26:39Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":104},"description":"If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.\nDay - 08 Hour (United States of America)We are seeking a high-caliber Senior AI Platform & ML Ops Engineer to architect the \"layered\" infrastructure required for autonomous, agentic systems within Stanford Healthcare. In this role, you will be the \"Master Chef\" of our AI ecosystem, seamlessly folding Expert-Level DevOps (Kubernetes, Terraform, DevOps orchestration) with Agentic Application Development (LangGraph, CrewAI, Tool-calling logic). You won't just manage servers; you will build the robust, full-stack \"factory\" where multi-agent frameworks interact with healthcare APIs, ensuring every autonomous action is governed by strict ML Ops observability (LangSmith, Arize) and safety guardrails. If you have the \"crispy\" coding skills to build RAG pipelines in Python and the \"rich\" architectural depth to deploy scalable microservices, extensive full stack software development expertise, we want you to lead the integration of reasoning-based AI into the future of clinical and business workflow automations.This is a Stanford Health Care job.\nA Brief Overview\nThe MLOPs Engineer will play an integral role incorporating Artificial Intelligence (AI) within Stanford Health Care. The solutions will impact patient care, medical research, and operational services. This group is tasked to innovate, build, deploy and monitor production grade AI, machine learning (ML) and predictive algorithms into healthcare. The role will partner closely with lead researchers within the AI field and leaders across various clinical specialties and operations.\nThis role will report to the Infrastructure group and have a dotted line relationship to the Data Science team. The role will be responsible for maintaining cloud-based infrastructure as code repositories, maintaining infrastructure, deployment pipelines and designing the security landscape for the team and objects. The role will set the standards for the full SDLC of projects for the Data Science team.\nLocations\nStanford Health Care\nWhat you will do\nDesign, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms.\nDevelop and implement CI/CD pipelines to automate the deployment, testing and monitoring of AI/ML models and applications.\nCollaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines.\nMonitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability.\nMaintain and monitor model training and inference pipelines across multi-cloud tenants especially around Large Language Models (LLMs).\nMaintain Kubernetes pods, container registry and virtual machine image library and model registry\nMonitor infrastructure utilization and costs pertaining to model training, inference and GPU utilization\nImplement best practices for security, data privacy and compliance in AI/ML workflows and infrastructure.\nEvaluate and integrate new tools, technologies and frameworks to improve the efficiency and effectiveness of our MLOps processes.\nMentor and provide technical guidance to junior members of the organization.\nStay up-to-date with the latest advancements and trends in MLOps, DevOps and cloud technologies and share them with the team.\nEducation Qualifications\nBachelor’s or higher degree in Computer Science, Engineering or a related field\n Experience Qualifications\nThree (3) or more years of directly related experience\nRequired Knowledge, Skills and Abilities\nProven experience as an MLOps Engineer.\nStrong knowledge of cloud platforms such as AWS, Azure or Google Cloud and experience with infrastructure-as-code tools like Terraform or CloudFormation.\nProficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes.\nExperience with CI/CD tools such as GitLab CI/CD, Github Actions or CiricleCI.\nSolid programming skills in languages such as Python, Rust or Go and experience in scripting and automation.\nFamiliarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn.\nDeep understanding of DevOps principles, agile methodologies and software development lifecycle.\nStrong problem-solving and trouble shooting skills, with the ability to analyze and resolve complex technical issues.\nExcellent communication and collaboration skills with the ability to work effectively in cross-functional teams.\nPhysical Demands and Work Conditions\nBlood Borne Pathogens\nCategory III - Tasks that involve NO exposure to blood, body fluids or tissues, and Category I tasks that are not a condition of employment\nThese principles apply to ALL employees:\nSHC Commitment to Providing an Exceptional Patient & Family Experience\nStanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.\nYou will do this by executing against our three experience pillars, from the patient and family’s perspective:\nKnow Me: Anticipate my needs and status to deliver effective care\nShow Me the Way: Guide and prompt my actions to arrive at better outcomes and better health\nCoordinate for Me: Own the complexity of my care through coordination\nEqual Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination inall of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.\nBase Pay Scale: Generally starting at $79.21 - $104.97 per hourThe salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.","description_format":"text","description_chars":6928,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Hospitals & Health Systems","Primary Care & Medical Centers"],"lifecycle":[{"event":"open","at":"2026-10-03T05:48:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 85 · green card filings: 18","filings_12m":85,"filings_prev_12m":87,"green_card_filings_12m":18,"median_offered_wage_usd":134539,"route":null,"cap_exempt":true,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":12}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.096,"p_room":0.28,"age_days":104,"expected_fill_days":12,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":208000,"is_top_pay":true},"html_url":"https://alion.io/job/stanford-health-care-devops-engineer","json_url":"https://alion.io/job/stanford-health-care-devops-engineer.json","meta":{"generated_at":"2026-10-12T12:04:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18894,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753318},"rest":"https://alion.io/mcp/rest/get_company?id=1753318"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstanford-health-care-devops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstanford-health-care-devops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstanford-health-care-devops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/stanford-health-care-devops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstanford-health-care-devops-engineer"}]}