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▷ (Immediate Start) Lead Full Stack Developer (MEAN / MERN)
ExplurgerIndia7 hours ago
Job descriptionBackend : 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).
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 jobs@expluger.com
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
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