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MERN Stack Technical Lead

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Onsite

MERN Stack Technical Lead

The NineHertz

MERN Stack Technical Lead

Skills

Google Cloud PlatformMongoDBDockerReactExpressGitLabJenkinsAIAWSGitHubKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Jaipur, Rajasthan, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


About The Role We are looking for a hands-on MERN Stack Technical Lead who can lead a development team, own architecture and cloud infrastructure end to end, and bring practical Generative AI capabilities into client products. You will work closely with product, pre-sales, QA, DevOps, and UI/UX teams to turn business requirements into scalable, secure, production-grade systems.

Key Responsibilities Technical Leadership & Architecture

  • Lead, mentor, and manage a team of frontend and backend developers.
  • Define application architecture, coding standards, and engineering best practices.
  • Drive technical decisions and own end-to-end delivery of projects.
  • Conduct code reviews and ensure code quality, performance, and security.
  • Translate business requirements into technical solutions alongside product managers, architects, and stakeholders.

Cloud Architecture & DevOps (Critical)

  • Design and implement scalable, highly available, fault-tolerant architectures on AWS, Azure, or GCP.
  • Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps.
  • Manage containerised workloads with Docker and Kubernetes.
  • Provision infrastructure using Terraform or CloudFormation.
  • Implement cloud security, IAM, monitoring, logging, backup, and disaster recovery.
  • Optimise infrastructure for performance, scalability, and cost.

AI & Generative AI Integration

  • Evaluate and integrate LLM services (OpenAI, Azure OpenAI, or similar) into MERN applications.
  • Build AI features such as chatbots, intelligent automation, document processing, and RAG pipelines.
  • Apply prompt engineering, embeddings, and vector databases to real product use cases.
  • Ensure AI implementations follow security, data privacy, and responsible AI practices.

Delivery & Team Management

  • Lead sprint planning, technical discussions, and architecture reviews.
  • Identify technical risks early and resolve complex engineering challenges.
  • Ensure timely, high-quality delivery within Agile/Scrum processes.
  • Maintain clear technical documentation.

Skills: architecture,leadership,azure,mongodb,react.js,cloud,ai,express.js

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