Infrastructure Engineer

Bayesian Health, Inc. · Remote · Remote - US Only ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • AWS + Kubernetes
  • Terraform expertise
  • Healthcare sector
  • Senior level

Join Bayesian Health as an Infrastructure Engineer to support a platform that empowers clinicians with real-time data. You will design fault-tolerant infrastructure, streamline deployment processes, and secure sensitive health information. Your work will directly impact the expansion of clinical AI modules and enterprise implementations.

What you'll do

  • Design cost-optimized, fault-tolerant infrastructure to support scale and reliability
  • Build and maintain CI/CD pipelines using GitHub for automated testing and deployment
  • Create infrastructure guidelines and Terraform modules for team adoption
  • Monitor system performance and collaborate on troubleshooting infrastructure issues
  • Implement security best practices to comply with HIPAA, HITRUST, and FDA requirements
  • Architect a secure internal AI Ops platform for managing AI/ML agents

What you'll need

  • 5+ years of experience operating production cloud infrastructure on AWS
  • Proficient with Kubernetes, preferably EKS, including cluster bootstrapping
  • Strong operational knowledge of relational databases like PostgreSQL or MySQL
  • Deep expertise in Terraform or equivalent Infrastructure as Code tools
  • Familiarity with observability tools, particularly Datadog
  • Experience building infrastructure handling sensitive PHI/PII data
  • Knowledge of CI/CD pipelines, preferably with CircleCI
  • Excellent communication skills for cross-functional collaboration

Nice to have

  • Experience using AI agents to optimize infrastructure or DevOps workflows
  • Background in disaster recovery or business continuity planning
  • Experience with multi-account, multi-cluster topologies
  • Prior work in healthcare, life sciences, or regulated industries
  • Experience with chaos engineering or GitOps frameworks

Stack

  • AWS
  • Kubernetes
  • EKS
  • Terraform
  • PostgreSQL
  • MySQL
  • Datadog
  • GitHub
  • CircleCI