MERN MEAN Developer

Zensar Technologies

Pune Division, Maharashtra, India1h agovia LinkedIn

This job at a glance

Who can apply
Freshers
Must know
JavaScriptReactNode.jsExpressProduct managementTroubleshooting
Nice to have
MongoDB
Work
On-site in Pune Division
Pay
Not stated by the employer.
Skill demand
JavaScript67%React60%Node.js27%Express13%of 99 similar fresher jobs posted in India this week
Listed
6 Nov 2026 · still open

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About the Role

Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).

Key Responsibilities

  • Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
  • Collaborate with cross-functional teams including designers, product managers, and backend engineers.
  • Write clean, maintainable, and efficient code following best practices.
  • Implement responsive UI components and ensure seamless user experience.
  • Optimize applications for maximum speed and scalability.
  • Troubleshoot, debug, and upgrade existing software.
  • Participate in code reviews and contribute to team knowledge sharing.
  • Stay updated with emerging technologies and industry trends.
  • Well versed in using AI tools like GitHub Copilot.

Requirements & Tech Stack

  • React.js
  • Angular
  • Node.js
  • Express.js
  • NestJS
  • MongoDB (MongoDB Atlas preferred)
  • REST APIs, Microservices architecture
  • AWS (basic deployment & services)
  • SQL (Postgres / Oracle – basic understanding)
  • Git / GitHub version control
  • HTML5, CSS3, responsive design
  • Authentication mechanisms (JWT, OAuth)

What Makes You Stand Out

  • Demonstrates ability to analyse a problem end-to-end.
  • Strong relationship building and customer focus.
  • Insurance domain experience.

AI & GitHub Copilot Capabilities

  • Leverage GitHub Copilot for intelligent code completion, reducing boilerplate and accelerating sprint velocity.
  • Use Copilot Chat to explain complex code blocks, suggest refactors, and auto-generate unit test stubs.
  • Apply AI-powered static analysis (CodeClimate, SonarQube AI rules) to proactively detect code smells.
  • Utilise AI pair programming to generate RESTful API scaffolding and MongoDB schema definitions from natural language prompts.
  • Adopt AI-assisted code review workflows (GitHub Copilot PR summaries) to improve review turnaround.
  • Explore AI tools for automated documentation generation (JSDoc / Swagger spec drafting via Copilot).

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