What you'll do
- Own end-to-end feature development including design, implementation, testing, deployment, and iteration with no handoffs.
- Contribute to a full rewrite of the core network adequacy platform, modernizing React frontend and backend services for scale and performance.
- Work on scaling the adequacy calculations from a single-state prototype to a 50-state enterprise-grade engine.
- Collaborate closely with product, data, and engineering teams to define scope and ship well-architected solutions.
- Leverage modern AI tooling to accelerate development velocity and output quality, while participating in code reviews and architecture discussions.
What you should know
- Role is for engineers ready to own meaningful features and build like a founder, not just maintain existing code.
- You will work on complex logic and large datasets, not simple CRUD applications, requiring thoughtful architecture.
- Expect direct access to leadership and mentorship from senior engineers who prioritize growth over management.
- This is an onsite role designed for those who value physical team presence and collaboration; remote is not available.
- The team culture emphasizes low ego, high ownership, curiosity about AI-assisted development, and continuous learning.
About the company
- A well-funded healthcare startup backed by Tiger Global and Primary Ventures, focused on transforming provider network design.
- Company has achieved product-market fit with real customers and a clear path to massive scale.
- Mission-driven to solve a high-stakes, measurable problem affecting millions of Americans in healthcare access.
- Small, high-agency engineering team valuing mentorship, ownership, and low politics.
- Hybrid work model based in New York City with 3 days in-office emphasizing face-to-face collaboration.
Key required skills
ReactDjangoJavaScriptAI toolingFull stack development