Senior DevOps Engineer

Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time to giving better care to their patients.

Navina has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.

We are looking for a Senior DevOps Engineer to join a growing DevOps team and help scale our cloud infrastructure and deployment platforms. In this role, you will work closely with R&D teams to enable fast, safe, and reliable software delivery, with a strong focus on Kubernetes, Cloud, Infrastructure as Code (Terraform) and CI/CD pipelines.

Responsibilities:

• Design, build, and operate Kubernetes-based production environments
• Own and evolve CI/CD pipelines to support rapid and reliable deployments
• Build and maintain infrastructure using Terraform and Infrastructure as Code best practices
• Partner closely with R&D teams to improve development workflows and deployment processes
• Support application teams with Kubernetes architecture, scaling, and troubleshooting
• Improve system reliability, availability, and observability
• Automate infrastructure provisioning, deployments, and operational tasks
• Drive DevOps best practices and standards across engineering
  
  

• 5+ years of experience in DevOps / Platform / SRE roles
• Strong hands-on experience with Kubernetes in production
• Deep experience building and maintaining CI/CD pipelines
• Strong understanding of AWS cloud platform
• Solid Linux and networking fundamentals
• Experience working closely with software engineering / R&D teams
• Scripting experience (Bash, Python, or similar)
• Familiarity with GitOps practices
• Experience with monitoring and observability tools (Preferred Datadog)
  
  

• Experience optimizing developer experience (DX)
• Security-minded approach to infrastructure and deployments