Co-pilot for doctors and nurses — empowering clinicians with real-time care signals to manage outcomes and cost.
Infrastructure Engineer
Location
United States
Posted
33 days ago
Salary
0
Seniority
Senior
Job Description
Infrastructure Engineer
Bayesian Health
• Build and maintain the infrastructure for the Bayesian platform • Develop CI/CD to enable other team members such as software engineers, data scientists to accelerate their development • Propose enhancement to our infrastructure design to manage cloud costs and ensure reliability • Define a branching and promotion strategy that comply with the regulatory change control process • Build and maintain CI/CD pipelines using GitHub for automated testing and deployment • Create infrastructure guidelines and templates such as Terraform modules • Continuous monitoring of system performance and reliability, and apply software upgrades accordingly • Collaborate with team members in troubleshooting infrastructure issues and optimizing performance • Partner with SecOps engineer to implement security best practices complying with HIPAA, HITRUST, FDA, and client requirements • Architect and build a secure, internal AI Ops platform to host and manage AI/ML agents for infrastructure optimization.
Job Requirements
- 5+ years of experience building and operating production cloud infrastructure on AWS as a DevOps, Infrastructure, Site Reliability Engineer, or similar role.
- Proficient with Kubernetes, preferably with EKS, including cluster bootstrapping and day-2 ops.
- Strong operational knowledge of relational databases such as PostgreSQL/MySQL (backups, failover, performance tuning).
- Deep expertise in Terraform (or equivalent IaC) and an eye for building clean and scalable modules.
- Familiarity with observability tools, particularly the Datadog
- Experience building infrastructure with sensitive data that contains PHI/PII.
- Knowledge of CI/CD pipelines, preferably with CircleCI
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (e.g., engineering, data science) to translate requirements into robust technical solutions.
- Experience handling ambiguity and uncertainty in a startup.
Benefits
- Equal employment opportunities
- Prohibits discrimination and harassment of any type
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