Senior Node Js Developer

5 - 10 years

19 - 20 Lacs

Posted:3 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Senior Node.js Developer

Experience:

Primary Skill:

Location:

Key Responsibilities: -

  • Design, develop, and maintain backend services and APIs using Node.js (Java exposure a plus).
  • Build microservices on AWS using services such as (not limited to) Lambda, API Gateway, RDS, S3, ECS, Glue, EventBridge, SQS, and SNS.
  • Ensure high performance, reliability, and cost efficiency of applications.
  • Debug and resolve production issues within SLAs.
  • Prepare and maintain HLD/LLD and technical documentation.
  • Implement monitoring and tracing with CloudWatch, Dynatrace, Splunk, and AWS X-Ray.
  • Contribute to CI/CD pipelines using GitHub Actions, Jenkins, or Code Pipeline.
  • Apply security best practices across IAM, Secrets Manager, and KMS.
  • Use Infrastructure as Code tools such as CloudFormation, CDK, or Serverless Framework.
  • Conduct automated testing using Mocha, Jest, and mocking tools.
  • Collaborate through GitHub (PRs, reviews) and track delivery using Jira.

Primary Skills & Experience:

  • 5+ years of backend development experience, primarily in Node.js (Java exposure is beneficial).
  • Strong hands-on experience with various services (not limited to), including Lambda, API Gateway, RDS, S3, ECS, Glue, EventBridge, SQS, and SNS.
  • Familiarity with DevOps practices, CI/CD automation, and observability tools (Dynatrace, Splunk, CloudWatch).
  • Understanding of security, IAM, and KMS concepts.
  • Working knowledge of IaC (Serverless, CDK, or CloudFormation).
  • Proficiency in GitHub for source control and Jira for Agile workflows.
  • Excellent communication skills and ability to collaborate with distributed, cross-geography teams.

Preferred Skills:

  • Experience with Docker, Kubernetes, or AWS Fargate.
  • Exposure to enterprise integrations (ERP, Order-to-Cash, AR cycles).
  • Experience developing Python-based microservices or GenAI applications using RAG/MCP frameworks.

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