NestJS Intern

PPStack

IndiaFresher15m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
REST APIsJavaScriptTypeScriptNode.jsMicroservicesSQL
Work
On-site in India · internship
Pay
Not stated by the employer.
Skill demand
REST APIs83%JavaScript78%TypeScript58%Node.js40%of 99 similar fresher jobs posted in India this week
Listed
7 Nov 2026 · still open

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About the Role

The NestJS Intern will work closely with the engineering team to design, develop, and maintain backend services and APIs using NestJS in a cloud-based environment. This is a full-time remote role.

Key Responsibilities

  • Implement new features.
  • Write clean and testable code.
  • Integrate third-party services.
  • Assist in database design and optimization.
  • Participate in code reviews.
  • Debug and resolve issues.
  • Help improve application performance, security, and scalability.
  • Collaborate with product, curriculum, and platform teams to support PPStack’s learning solutions and internal tools.

Requirements & Tech Stack

  • Proficiency in NestJS, Node.js, and TypeScript.
  • Foundational web and API development skills, such as RESTful API design, JSON handling, and familiarity with microservices architectures.
  • Database-related skills, including experience with SQL or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) and basic query optimization.
  • Software engineering practices, including version control (Git), unit and integration testing, debugging, and code documentation.
  • Basic cloud and DevOps awareness, such as exposure to containerization (Docker), CI/CD pipelines, or deploying services to cloud platforms.

Qualifications

  • Core backend development skills.
  • Problem-solving and collaboration skills, including the ability to learn quickly, work in distributed teams, and communicate clearly in written and spoken English.
  • Relevant coursework or projects in computer science, software engineering, or related fields are beneficial.
  • Prior experience with EdTech platforms or learning technologies is a plus.
  • Interest in AI, data-driven solutions, and building scalable systems that support education and career transformation is highly valued.

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