Full Stack Engineer

Overview A mission-driven product team inside one of the U.S.'s most respected healthcare systems is rethinking how virtual care works not just digitizing visits but building real software that helps people live healthier lives. Their platform combines a mobile app, patient portal, and care team tools into a modern, cloud-native experience that supports personalized wellness plans, real-time messaging, appointment scheduling, and video visits all while integrating with backend systems like Epic. As a full stack engineer, you’ll work across React, React Native, and Node.js (NestJS), building production-ready features end-to-end. The team is expanding its engineering capabilities by embedding AI throughout the software development lifecycle. As a full stack engineer, you will use AI tools not only for code generation, but also for automated testing, refactoring, debugging, and accelerating end-to-end feature delivery.

Experience and Education Bachelor’s degree in Computer Science or related field (or equivalent experience)

Deep experience with Node.js on the backend, ideally using NestJS

Familiarity with serverless architecture and AWS services like Lambda, API Gateway, S3, and DynamoDB

Hands-on experience using AI engineering tools that apply AI to code generation, automated testing, debugging, and accelerating implementation.

Strong history of delivering full-stack features in React, React Native, and Node

Demonstrated ability to incorporate AI into daily engineering workflows across the full development lifecycle.

Skills and Strengths TypeScript

Node.js

NestJS

Jest

React

React Native

AWS Lambda

AWS API Gateway

DynamoDB

Serverless architecture

Nx Monorepos

GitHub Actions

Swagger/OpenAPI for API document

Contentful

GitHub Copilot or similar AI coding tools

AI-assisted automated testing

AI-driven debugging and refactoring

Primary Job Responsibilities Design, build, and maintain full-stack features across React, React Native, and Node.js (NestJS)

Develop backend services using AWS Lambda and API Gateway in a serverless architecture

Use AI-based engineering tools to accelerate development, including generating code and creating or maintaining automated tests

Leverage AI to improve code quality through debugging, refactoring, and supporting overall development efficiency

Write modular, well-tested TypeScript code and participate in code reviews

Collaborate in sprint planning, refinement, and estimation sessions

Document technical design and implementation approaches in Confluence

Manage and evolve data schemas in PostgreSQL and DynamoDB

Integrate with third-party APIs, including Contentful and Epic EHR

Contribute to an Nx-managed monorepo and CI/CD pipelines with GitHub Actions

Collaborate with product, design, and infrastructure teams to ship scalable features

Take full ownership of the features you work on from idea to production

Continuously evaluate and adopt emerging AI tools and workflows to improve engineering efficiency and product velocity

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