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Bayesian Health

Infrastructure Engineer

Bayesian Health

Infrastructure Engineer building infrastructure and developing CI/CD for clinical AI/ML platform at Bayesian Health. Collaborating with cross-functional teams to ensure reliable and scalable systems.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudKubernetesMySQLPostgresTerraform

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Comp & perks
  • Equal employment opportunities
  • Prohibits discrimination and harassment of any type

ATS Keywords

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Hard Skills & Tools
AWSKubernetesEKSPostgreSQLMySQLTerraformCI/CDCircleCIobservability toolsAI Ops
Soft Skills
communicationcollaborationtroubleshootingperformance optimizationhandling ambiguity