MERN Stack Technical Lead - Cloud & AI

Job highlights

• js and server-side rendering. - LangChain or LlamaIndex. - Python and FastAPI for AI service integration. - SaaS and multi-tenant architecture experience. - High-traffic,distributed systems experience. - Enterprise AI application delivery. - AWS or Azure Solutions Architect certification. Disclaimer: This job posting has been aggregated from external source
• Preferred

About the Opportunity

• NineHertz is seeking a hands-on MERN Stack Technical Lead with 8-12+ years of experience, including 3+ years in technical leadership, to drive architecture, cloud infrastructure, and Generative AI integration for client products. The role involves close collaboration with product, pre-sales, QA, DevOps, and UI/UX teams to deliver scalable, secure, production-grade systems.

Role & Responsibilities

• 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 to ensure code quality, performance, and security.
• Translate business requirements into technical solutions alongside product managers, architects, and stakeholders.
• 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.
• 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.
• 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 & Qualifications
Must-Have

• Strong hands-on experience with React. js, Node. js, Express. js, and MongoDB.
• Proficiency in JavaScript and TypeScript, Redux Toolkit, REST APIs, and GraphQL.
• Experience with microservices and event-driven architectures.
• Authentication and authorisation using OAuth 2. 0, JWT, and RBAC.
• Real-time applications using Redis and WebSockets.
• Proven experience designing and deploying production applications on AWS or Azure.
• AWS: EC2, Lambda, S3, RDS, ECS/EKS, API Gateway, CloudFront, CloudWatch.
• Azure: App Service, Functions, AKS, Azure SQL, Blob Storage, Azure DevOps.
• Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Practical experience integrating LLMs / Generative AI into web applications.
• Excellent problem-solving, communication, and team leadership skills.

Preferred

• Next. js and server-side rendering.
• LangChain or LlamaIndex.
• Python and FastAPI for AI service integration.
• SaaS and multi-tenant architecture experience.
• High-traffic, distributed systems experience.
• Enterprise AI application delivery.
• AWS or Azure Solutions Architect certification.

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.