5+ years of experience in cloud infrastructure (AWS) roles such as DevOps or Infrastructure Engineer.
Proficient with Kubernetes, particularly EKS for cluster bootstrapping and operations.
Strong understanding of relational databases, especially PostgreSQL/MySQL.
Deep expertise in Terraform for infrastructure as code.
Familiarity with observability tools, notably Datadog.
Experience securing infrastructure with sensitive data (PHI/PII).
Knowledge of CI/CD pipelines, ideally CircleCI.
Excellent communication and collaboration skills with cross-functional teams.
Responsibilities
Design cost-optimized, fault-tolerant infrastructure for scale to support product expansion.
Streamline development and deployment through a robust CI/CD pipeline using GitHub.
Establish and promote infrastructure best practices and templates to educate team members.
Continuously monitor system performance and collaborate on performance optimization.
Partner with SecOps to implement security best practices and comply with regulations.
Architect and build a secure AI Ops platform for managing AI/ML agents.
Benefits
Opportunity to work in a rapidly growing startup focused on proactive healthcare solutions.
Contribute to the development of innovative clinical AI/ML modules and technologies.
Collaborative work environment with a dedicated focus on team education and infrastructure best practices.
Full Job Description
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.
You 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.
What you'll do
As 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.
Responsibilities
Design 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.
Streamline 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.
Establish and evangelize infrastructure best practices: Create infrastructure guidelines and templates such as Terraform modules, and educate team members in leveraging them.
Infrastructure 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.
Secure infrastructure: Partner with SecOps engineer 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 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.
Preferred qualifications
Experience with using AI agents to optimize infrastructure management or DevOps workflows.
Experience with disaster recovery or business continuity plans.
Experience with multi account, multi cluster topologies.
Experience building systems in healthcare, life sciences, or similarly regulated industries
Chaos engineering or game-day facilitation.
Experience implementing and maintaining a GitOps framework.
