{"id":729061,"url":"https://alion.io/job/bayesianhealth-infrastructure-engineer","title":"Infrastructure Engineer","company":{"id":669392,"name":"Bayesian Health","domain":"bayesianhealth.com","url":"https://alion.io/company/bayesianhealth","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":67,"open_postings":11,"ghost_share":0.545,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":395},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"Datadog","optional":false},{"name":"GitHub","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"ML-Agents","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Chaos Engineering","optional":true},{"name":"GitOps","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-04-27T15:56:40Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-30T16:10:36Z","board_verified":true,"closed_at":null,"days_open":186,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":184},"description":"In Brief\nWe’re a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.\n\nYou will build and maintain the infrastructure for the Bayesian platform and develop CI/CD to enable other team members such as software engineers, data scientists, etc. to accelerate their development will drive expansion of our clinical AI/ML module offerings, health system enterprise-wide implementations, and revenue growth.\n\nWho We Are\nBayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.\nWe’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.\nRead more about our recent publication in Nature Medicine that associates our products with lives saved.\nWhat you’ll do\nAs an Infrastructure Engineer, you will build and maintain the networking and infrastructure for the Bayesian platform and develop CI/CD pipelines to enable other team members such as software engineers, data scientists, etc. to accelerate their development. This role is crucial to drive expansion of our clinical AI/ML module offerings, health system enterprise-wide implementations, and revenue growth.\nResponsibilities\nDesign cost-optimized, fault-tolerant infrastructure for scale: Propose enhancement to our infrastructure design to enable us to expand our client base and deploy new products on our platform while managing cloud costs and ensuring reliability.\n\nStreamline development and deployment: Define a branching and promotion strategy that allow us to comply with the regulatory change control process. Build and maintain CI/CD pipelines using GitHub for automated testing and deployment.\n\nEstablish and evangelize infrastructure best practices: Create infrastructure guidelines and templates such as Terraform modules, and educate team members in leveraging them.\n\nInfrastructure support and maintenance: Continuous monitoring of system performance and reliability, and apply software upgrades accordingly. Collaborate with other team members in troubleshooting infrastructure issues and optimize performance.\n\nSecure infrastructure: Partner with SecOps engineer to implement security best practices complying with HIPAA, HITRUST, FDA, and client requirements.\n\nAI Ops Platform Architecture: Architect and build a secure, internal AI Ops platform to safely host and manage AI/ML agents for infrastructure and DevOps optimization.\n\nMinimum qualifications\n5+ years of experience building and operating production cloud infrastructure on AWS as a DevOps, Infrastructure, Site Reliability Engineer, or similar role.\n\nProficient with Kubernetes, preferably with EKS, including cluster bootstrapping and day-2 ops.\n\nStrong operational knowledge of relational databases such as PostgreSQL/MySQL (backups, failover, performance tuning).\n\nDeep expertise in Terraform (or equivalent IaC) and an eye for building clean and scalable modules.\n\nFamiliarity with observability tools, particularly the Datadog\n\nExperience building infrastructure with sensitive data that contains PHI/PII.\n\nKnowledge of CI/CD pipelines, preferably with CircleCI\n\nExcellent communication skills and a proven ability to collaborate with cross-functional teams (e.g., engineering, data science) to translate requirements into robust technical solutions.\n\nExperience handling ambiguity and uncertainty in a startup.\n\nPreferred qualifications\nExperience with using AI agents to optimize infrastructure management or DevOps workflows.\n\nExperience with disaster recovery or business continuity plans.\n\nExperience with multi account, multi cluster topologies.\n\nExperience building systems in healthcare, life sciences, or similarly regulated industries\n\nChaos engineering or game-day facilitation.\n\nExperience implementing and maintaining a GitOps framework.\n\nBayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.","description_format":"text","description_chars":5034,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Medical AI","Clinical Decision 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