Software Engineer (Full-Stack)
Department: Engineering
Location: San Francisco
Compensation: $200K – $300K • Offers Equity
Employment Type: FullTime
Full-Stack Engineer
Location: San Francisco, CA
You are a generalist, not a specialist, who thrives on owning projects end-to-end. We're building the intelligence layer of American healthcare, and your work will be on the front lines, driving delivery and seeing the solution through from customer need to live, impactful deployment.
What We Look for in a Great Engineer
You hold yourself and others to high standards, live and die by keyboard shortcuts, and love finding new ways to increase your own leverage through automation. This is a high-energy environment for builders who want to create a generational health tech company.
Total Ownership: You enjoy both frontend development and backend development, and find you want to own things completely end-to-end—from the database to the pixels.
Product Focus: You love wearing multiple hats—working with customers, defining product specs, and iterating fast—all in addition to core engineering.
Bias for Action: You are willing to jump into whatever needs to get done and won't wait for someone else to solve a problem that you're in a position to solve.
Experience: You've spent a lot of time in both frontend and backend development and have experience building lots of different types of systems and solutions.
What You'll Work On (Responsibilities)
As a Full Stack Engineer, you will drive product initiatives and manage technical delivery across the entire application:
End-to-End Delivery: Design, build, and deploy new features across the entire stack, from API development to intuitive user interface implementation.
System Architecture: Architect and manage the complexity of solutions, defining standards and inventing better ways to build simple, cogent abstractions.
Customer & Domain Focus: Dive deep into the nuances of Prior Authorizations, Patient Interactions, and EHR Integrations to ensure our technology delivers massive improvements to healthcare operations.
AI Implementation: Integrate and utilize our core Clinical AI Models to build powerful, user-facing features.
Technical Qualifications & Environment
Core Tech: Deep proficiency and experience with TypeScript and React.
Backend Proficiency: Strong experience with our core systems, including Redis, PostgreSQL, Temporal, and Kafka.
System Design: Proven ability to manage complexity with creative and simple abstractions.
Core Team Member: Excitement about working five days per week in our San Francisco office.
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