Lead Full Stack Developer

2 weeks ago

Delhi, India Explurger Full time

Job Title: Lead Full Stack Developer

Location: New Delhi. India


Applicant must have minimum 8 years of hands on coding experience in MERN/MEAN.


Share resume at


We are looking for a highly skilled and experienced Full Stack Engineer to join our dynamic team. The ideal candidate will have a proven track record of building scalable, high-performance applications and a strong background in backend, frontend, and cloud technologies.


Key Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance web applications.

• Work across the full stack—frontend, backend, databases, messaging, and cloud infrastructure.

• Develop RESTful and GraphQL APIs, ensuring efficiency and security.

• Implement real-time communication using sockets and messaging queues.

• Collaborate with cross-functional teams to define, design, and deliver new features.

• Optimize applications for maximum speed, scalability, and reliability.

• Integrate AI/ML models (RAG pipelines, vector databases, embeddings, etc.) into production systems.

• Manage and optimize relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).

• Leverage search and indexing tools such as Elasticsearch for scalable data retrieval.

• Deploy, monitor, and scale applications using GCP and AWS cloud platforms.

• Implement CI/CD pipelines, testing strategies, and version control using Git/GitHub/GitLab.

• Mentor junior engineers and contribute to code reviews, architecture discussions, and best practices.


Required Skills & Expertise

• Backend: Node.js, Python, Express.js, REST APIs, GraphQL.

• Frontend: React.js, JavaScript (ES6+), HTML5, CSS3, TypeScript (preferred).

• Databases: MySQL, MongoDB, Redis, PostgreSQL (good to have).

• Search & Caching: Elasticsearch, Redis.

• Messaging & Streaming: Kafka, RabbitMQ, WebSockets.

• AI/ML Exposure: Retrieval-Augmented Generation (RAG), LLM integration, vector search (e.g., Pinecone, FAISS, Weaviate).

• Cloud: Hands-on experience with GCP and AWS (EC2, Lambda, S3, Cloud Run, Pub/Sub, etc.).

• DevOps & Tools: Docker, Kubernetes, Git, CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).

  • • Other Good-to-Have Skills: Microservices architecture, Serverless computing, API security, OAuth/JWT authentication, performance monitoring (Prometheus, Grafana), Terraform/Infrastructure as Code (IaC).

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