Live opening · Posted 6 hours ago

Full Stack Engineer

Mastek · Noida, Uttar Pradesh, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyMastek
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
SkillsPython, JavaScript, TypeScript, React, Node.js, AWS, Azure
SourceLinkedin
Listed6 hours ago

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About the role

Description supplied by the original job listing.

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

Work arrangement
No

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