Full Stack Engineer

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale.

We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.

We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.

We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors.

In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.

We are looking for a Full Stack Engineer that will work across our product stack — from React components to API routes to the SQL queries behind them — owning features end to end, from design through production.

You'll work in an AI-native environment -- fluency with AI coding tools isn't just a nice-to-have; it's how we ship fast without sacrificing quality.

You will have real ownership early: you will be trusted to take a well-scoped problem and run with it.

This is a strong fit if you care about the craft of building interfaces people actually enjoy using, and you want to go deep on a genuinely hard problem space: making complex healthcare and financial data legible.

If you thrive in a fast-paced environment and communicate clearly with both engineers and other internal teams, this is the perfect opportunity for you!

We are looking for a Full Stack Engineer that will work across our product stack — from React components to API routes to the SQL queries behind them — owning features end to end, from design through production.

You'll work in an AI-native environment -- fluency with AI coding tools isn't just a nice-to-have; it's how we ship fast without sacrificing quality.

You will have real ownership early: you will be trusted to take a well-scoped problem and run with it.

This is a strong fit if you care about the craft of building interfaces people actually enjoy using, and you want to go deep on a genuinely hard problem space: making complex healthcare and financial data legible.

If you thrive in a fast-paced environment and communicate clearly with both engineers and other internal teams, this is the perfect opportunity for you!