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Full Stack Engineer

Job description

Introduction

Join a fast-growing HealthTech company building an AI-driven data platform designed to eliminate waste and inefficiency across the U.S. healthcare system. This is a rare opportunity to contribute to technology that directly improves care outcomes and transforms how health plans and providers make decisions.

As a Staff Software Engineer, you’ll play a leading role in designing, architecting, and scaling end-to-end systems that power intelligent healthcare decision-making. You’ll work across the full stack — from sleek, performant front-ends to robust, data-driven back-ends — helping define the technical foundation of a company set to redefine how healthcare dollars are spent.

This Will Offer You

  • The opportunity to own major product areas and shape the company’s engineering roadmap.
  • A high-impact role in a mission-led, AI-focused environment tackling one of healthcare’s biggest challenges.
  • Exposure to modern technologies including Next.js, TypeScript, Django, PostgreSQL, and AWS.
  • Competitive compensation, equity, and a hybrid work model in San Francisco.

Responsibilities

  • Architect, design, and build scalable full-stack web applications using Next.js, TypeScript, and Django.
  • Lead development of APIs, data models, and system integrations that support healthcare analytics and AI-driven insights.
  • Partner closely with product and data teams to deliver intuitive, high-performance user interfaces for healthcare administrators.
  • Set engineering best practices, drive code quality, and mentor junior developers within a small, high-performing team.
  • Contribute to the design and optimisation of cloud infrastructure on AWS for scalability and reliability.

You Will Bring

  • 5+ years of experience in full-stack product engineering, building and shipping end-user web applications.
  • Expertise in Next.js/TypeScript on the frontend and Django/Python on the backend.
  • Strong understanding of PostgreSQL, RESTful API design, and cloud-based architectures (AWS preferred).
  • A hands-on, collaborative mindset and the ability to thrive in a fast-paced, early-stage startup environment.
  • Excellent communication skills and a passion for solving real-world problems in healthcare.

Preferred:

  • Experience in AI/ML-based product development or health data systems.
  • Familiarity with tools such as Terraform, Docker, and GitHub Actions for CI/CD and infrastructure automation.