Full Stack Engineer (Python + React)

About the team Access Center (Comet) is Innovaccer's healthcare workflow platform. The stack spans a React/Redux frontend served through a Node.js layer, and a Python/FastAPI backend (with some legacy Django) using MongoDB, PostgreSQL, and Kafka, with growing use of LLM/AI agent tooling. It powers multi-tenant products used by live customer deployments daily.

Responsibilities

• Build features across the stack: React/Redux on the frontend, Python/FastAPI services on the backend
• Design and integrate REST APIs, including rate limiting, retries, and idempotency for external integrations
• Model and query data across MongoDB, PostgreSQL, and Elasticsearch as needed
• Work with Kafka based event streams for cross-service communication
• Write unit and integration tests on both ends of the stack (Jest/React Testing Library on frontend, pytest on backend)
• Debug and triage production issues across the stack, using observability tools (OpenTelemetry, NewRelic) to find root cause
• Collaborate with product and design on features, and with QA on test coverage
• Contribute to CI/CD pipelines (GitLab CI) and Docker based deployments
• Apply secure coding practices, given the platform handles healthcare data

Required skills

• Proficiency in JavaScript (ES6+) and Python
• Working knowledge of React (hooks, state management with Redux) and a Python web framework (FastAPI or Django)
• Comfortable working with both relational (PostgreSQL) and NoSQL (MongoDB) databases
• Experience writing automated tests on both frontend and backend
• Proficient with Git and collaborative workflows
• Strong CS fundamentals: data structures, algorithms, and system design basics

Good to have

• TypeScript experience
• Experience with Kafka or other event streaming/message queue systems
• Experience with LLM/AI tooling: LangChain, RAG pipelines, or agent frameworks
• Familiarity with Docker and containerized deployments
• Familiarity with observability tooling (OpenTelemetry, NewRelic, Grafana)
• Exposure to multi-cloud storage SDKs (AWS, Azure, GCP)
• Healthcare interoperability background (FHIR, HL7, EHR integrations such as Epic or Cerner) - not required, general distributed systems thinking matters most