Navina is a fast-growing digital health SaaS company that’s on a mission to enhance the primary care experience by transforming the way physicians interact with patient data. Our proprietary AI models are specifically designed to understand the language of primary care, transforming complex and fragmented patient data into a concise “patient portrait" and actionable clinical insights at the point of care. This allows physicians to get the full picture of their patients and act on their health status instantly and accurately. Built by physicians for physicians, our AI platform reduces physician burnout, while helping healthcare organizations thrive in value-based care. Thousands of clinicians across the United States are using Navina’s AI-powered clinical intelligence solution to improve preventative care, reduce missed diagnoses, and reclaim time with 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 health systems and value-based organizations including Privia Health and Tampa General Hospital.

We're looking for a talented, versatile, and highly independent backend engineer to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

About the Team:

The team is focused on ingesting data from multiple sources on a large scale, transforming it into Navina’s structure, and serving it. The team’s challenge is to work with different data protocols, ensuring the data is always fresh, accurate, and simple to use, while staying resilient and efficient.

• A key role in the research and development team
• Help in creating scalable data solutions by enabling us to continuously ingest more and more medical data, to improve Navina’s suggestions models
• Learning and understanding the complex healthcare industry

Experience:

• 5+ years of experience in backend technologies
• Independence, while taking responsibility on end to end processes (from tech design to production)
• In-depth knowledge of distributed systems and microservices architecture
• DB / Data Warehouse experience
• Experience with AWS or other cloud services
• Familiarity with Git, CI/CD framework, and testing

Advantages:

• Bs.c / Ms.c in Computer Science / Software Engineering
• Experience in python
• Experience with K8S / Infrastructures
• Experience with Snowflake / RDS