MERN Stack Technical Lead - Cloud & AI

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.