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MERN Stack Technical Lead

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Onsite

MERN Stack Technical Lead

NineHertz

MERN Stack Technical Lead

Skills

Google Cloud PlatformDockerGitLabJenkinsAIAWSGitHubKubernetesTerraformAzure

22 days ago

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Important information


Contract type:

Permanent

Location:

Jaipur, Rajasthan, India

Work mode:

Onsite

Published on:

29 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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