Lead Engineer - Full Stack (Node & React.js)

4 - 6 years

20 - 27 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

Lead Engineer

Key Responsibilities

  • Lead the end-to-end design, development, and deployment of

    scalable, high-performance web applications

    .
  • Architect and implement solutions using

    Node.js, React.js, Next.js, JavaScript, and TypeScript

    .
  • Integrate and leverage

    GenAI technologies

    such as:
    • LLM-based APIs (OpenAI, Anthropic, Llama, Gemini, etc.)
  • Collaborate with cross-functional teams to define technical direction and deliver high-impact features.
  • Mentor and guide engineers, ensuring code quality, performance, and best engineering practices.
  • Break down complex product requirements into manageable development tasks and technical solutions.
  • Utilize

    AWS cloud services

    to deployments and application setups.
  • Participate in

    Agile/Scrum

    ceremonies using

    Jira

    for planning, tracking, and delivery.
  • Apply strong Git workflows for version control, branching strategies, and CI/CD.
  • Troubleshoot issues, optimize performance, and enhance application reliability.

Required Skills & Experience

  • 5+ years

    of hands-on development experience delivering production-quality applications.
  • Strong expertise in:
    • Node.js

    • React.js

    • Next.js

    • JavaScript

    • TypeScript

  • Experience leading modules or building scalable applications

    from scratch

    .
  • Proven experience with

    AWS services

    (Lambda, EC2, S3, etc).
  • Experience integrating or working with

    GenAI platforms

    or APIs.
  • Working knowledge of

    Agile methodologies

    and tools like

    Jira

    .
  • Strong proficiency with

    Git

    and collaborative development workflows.
  • Excellent problem-solving, communication, and architectural design skills.

Good to Have

  • Familiarity with

    Python

    for automation, backend APIs, or AI pipelines.
  • Hands-on experience with

    AI agents

    , RAG architectures, or prompt engineering.
  • Knowledge of microservices, Docker, Kubernetes, or CI/CD tooling.
  • Experience with performance tuning and distributed system design.

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