The Why Behind Wellvana:

The healthcare system isn’t designed for health. We’re designed to change that. We’re Wellvana, and we help doctors deliver life-changing healthcare.

Through our elevated value-based care programs, we’re revitalizing an antiquated system that’s far too long relied on misaligned incentives that reward quantity of care not the quality of it.

Our enlightened approach—covering everything from care coordination to clinical documentation education to marketing— ties the healthy outcomes of patients directly to shared savings for primary care providers, health systems and payors.

Providers in our curated network keep their independence, reduce their administrative headaches, and spend more time with patients. Patients, in turn, get an elevated experience with coordinated care between appointments that is nothing short of life-changing.

Named a 2024 "Best in Business" and 2023 "Best Place to Work" by Nashville Business Journal, we’re one of the fastest-growing healthcare companies in America because what we do works. This is the way medicine is meant to be.

Clarity on the Role:

As a Staff Software Engineer, you will own the internal tooling layer that connects Wellvana’s data platform to the analysts, clinical operations teams, and partners who depend on it. You’ll design and build the web and desktop interfaces that make our data products usable, and contribute to data engineering work alongside the team. This isn’t a split role: you’re an application engineer who can hold their own in a data stack, not a data engineer who writes occasional frontend code.

What's Expected?

• Architect, build, and maintain internal web and desktop applications used by clinical operations, analytics, and data engineering teams.
• Own the full stack: frontend interfaces, backend APIs, authentication, deployment, and observability.
• Partner with data engineering to surface pipeline outputs, data quality signals, and operational metrics in usable interfaces.
• Establish frontend and application engineering conventions where none currently exist.
• Contribute to data engineering work — pipeline development, Dagster assets, dbt models — when capacity or priority calls for it.
• Evaluate and introduce tooling, frameworks, and infrastructure appropriate to a small team with limited ops overhead.
• Translate ambiguous requirements from non-technical stakeholders into scoped, shippable software.
• Raise the application development baseline of the broader data engineering team through pairing, review, and convention-setting.
• Deploy and manage containerized applications on AWS (ECS, Lambda, S3, CloudFront, or equivalent).
• Develop and maintain CI/CD pipelines to streamline application deployment and integration processes.
• Collaborate with cross-functional teams, including analytics, clinical ops, and product, to ensure software meets real user needs.
• Build and maintain API-based integrations to facilitate seamless data exchange between internal applications and the data platform.
• Stay current with industry trends and emerging technologies to continuously improve application development practices.

What's Required?

• Integrity: The right way is the only way.
• Dependability: You do what you say you’re going to do.
• Advocacy: You fight for the best possible outcome for providers and their patients.
• Clarity: You make it all understandable.

Education:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

Years of Related Experience:

• 8+ years of software engineering experience with demonstrated scope growth.
• 3+ years of cloud deployment experience on AWS (ECS, Lambda, S3, CloudFront, or equivalent).
• 3+ years of production experience with a modern frontend framework (React preferred).
• 3+ years of backend API development in Python or Node.
• Demonstrated use of AI tools (GitHub Copilot, Claude, Cursor, or similar) in a professional development workflow.
• Healthcare or regulated-data environment experience is a plus.

Skills/Competencies/Behaviors:

• Strong full-stack capability: able to own a feature from data model to UI without handoffs.
• Production experience with React or an equivalent modern frontend framework.
• Backend API development in Python or Node; comfortable owning the full request lifecycle.
• Cloud deployment on AWS; familiar with ECS, Lambda, S3, and CloudFront.
• Data modeling and DBT specific experience
• Experience integrating directly with data warehouses (Snowflake or similar) from application code is a plus.
• Strong understanding of authentication patterns and application security fundamentals.
• Knowledge of CI/CD practices for application deployment.
• Familiarity with containerization tools like Docker.
• Strong instinct for simplicity: reaches for complexity only when it earns its keep.
• Excellent communication skills; able to work with non-technical stakeholders.
• Comfortable operating as the sole application engineer on a data-engineering-primary team.
• Active use of AI tools (GitHub Copilot, Claude, Cursor, or similar) as a development force multiplier — not as a novelty, but as a core part of how you work.