Infrastructure Engineer
Bayesianhealth · Remote - US Only
About this role
## Infrastructure Engineer ### In Brief We’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. In this role, you’ll build and maintain the infrastructure for the Bayesian platform and develop CI/CD to help other teams (software engineering, data science, etc.) accelerate development—driving expansion of our clinical AI/ML module offerings, enterprise-wide health system implementations, and revenue growth. ### Who We Are Bayesian Health improves 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. We’re funded by top-tier tech and biotech investors including Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Recent recognitions include Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, and BioTech AI Company of the Year. ### What You’ll Do - **Design cost-optimized, fault-tolerant infrastructure for scale**: Propose enhancements to support growth, new product deployments, cloud cost management, and reliability. - **Streamline development and deployment**: Define branching/promotion strategies aligned with regulatory change control. Build and maintain **CI/CD pipelines** using **GitHub** for automated testing and deployment. - **Establish and evangelize infrastructure best practices**: Create infrastructure guidelines and templates (e.g., **Terraform modules**) and educate the team on using them. - **Infrastructure support and maintenance**: Continuously monitor performance/reliability, apply upgrades, troubleshoot infrastructure issues, and optimize performance. - **Secure infrastructure**: Partner with SecOps to implement security best practices complying with **HIPAA, HITRUST, FDA**, and client requirements. - **AI 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. ### Minimum Qualifications - **5+ years** building and operating production cloud infrastructure on **AWS** (DevOps / Infrastructure / SRE or similar) - Proficient with **Kubernetes** (preferably **EKS**), including cluster bootstrapping and day-2 operations - Strong operational knowledge of relational databases (**PostgreSQL/MySQL**) including backups, failover, and performance tuning - Deep expertise in **Terraform** (or equivalent IaC) with an eye for clean, scalable modules - Familiarity with observability tools, especially **Datadog** - Experience building infrastructure with sensitive data containing **PHI/PII** - Knowledge of **CI/CD pipelines**, preferably **CircleCI** - Excellent communication and cross-functional collaboration skills - Ability to handle ambiguity and uncertainty in a startup ### Preferred Qualifications - Experience using **AI agents** to optimize infrastructure management or DevOps workflows - Experience with disaster recovery / business continuity plans - Experience with multi-account, multi-cluster topologies - Experience building systems in healthcare, life sciences, or other regulated industries - Chaos engineering or game-day facilitation - Experience implementing and maintaining a **GitOps** framework ###
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