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