Backend Developer (Node.js)

AGASTYA Global Infotech

India

On-site

INR 1,200,000 - 2,500,000

Full time

14 days+

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Job summary

AGASTYA GLOBAL INFOTECH is seeking a backend engineer to architect scalable REST and GraphQL APIs using Node.js and TypeScript. You will design event-driven microservices, optimize databases, and implement secure auth via OAuth2/JWT.

Familiarity with Docker, Kubernetes, and AWS deployment pipelines is required. The role emphasizes building high-throughput services, robust testing with Jest, and strong database expertise with PostgreSQL and MongoDB.

Qualifications

  • 4+ years backend engineering experience with Node.js and TypeScript
  • Strong proficiency with relational (PostgreSQL) and NoSQL (MongoDB) databases
  • Experience with Docker, Kubernetes and AWS deployment pipelines

Responsibilities

  • Architect scalable REST and GraphQL APIs, and event-driven microservices
  • Design, build, and maintain high-throughput backend services
  • Optimize database queries, caching strategies and indexing
  • Implement secure OAuth2, JWT, and RBAC authentication mechanisms
  • Write comprehensive unit and integration tests with Jest

Skills

Node.js
TypeScript
Express
NestJS
JWT
OAuth2
Testing with Jest
SQL/NoSQL
APIs design
API security

Tools

MongoDB
PostgreSQL
Redis
Docker
Kubernetes
AWS
Jest

Job description

Role Overview

Architect scalable REST and GraphQL APIs, event-driven microservices, and database models using Node.js, TypeScript, Express/NestJS, and MongoDB/PostgreSQL.

Primary Responsibilities
  • Design, build, and maintain high-throughput backend services
  • Optimize database queries, caching strategies (Redis), and indexing
  • Implement secure OAuth2, JWT, and RBAC authentication mechanisms
  • Write comprehensive unit and integration tests with Jest
Experience & Qualifications
  • 4+ years of backend engineering experience with Node.js and TypeScript
  • Strong proficiency in relational (PostgreSQL) and NoSQL (MongoDB) databases
  • Experience with Docker, Kubernetes, and AWS deployment pipelines
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