Manager
- Gurgaon, Haryana
- Permanent
- Full-time
Location: Gurugram
Relevant Experience Required: 8+ years
Employment Type: Full-timeAbout the RoleWe are looking for a Senior Full Stack Developer who can build end-to-end web applications with strong expertise in both front-end and back-end development. The role involves working with Django, Node.js, React, and modern database systems (SQL, NoSQL, and Vector Databases), while leveraging real-time data streaming, AI-powered integrations, and cloud-native deployments. The ideal candidate is a hands-on technologist with a passion for modern UI/UX, scalability, and performance optimization.Key ResponsibilitiesFront-End Development
- Build responsive and user-friendly interfaces using HTML5, CSS3, JavaScript, and React.
- Implement modern UI frameworks such as Next.js, Tailwind CSS, Bootstrap, or Material-UI.
- Create interactive charts and dashboards with D3.js, Recharts, Highcharts, or Plotly.
- Ensure cross-browser compatibility and optimize for performance and accessibility.
- Collaborate with designers to translate wireframes and prototypes into functional components.
- Develop RESTful & GraphQL APIs with Django/DRF and Node.js/Express.
- Design and implement microservices & event-driven architectures.
- Optimize server performance and ensure secure API integrations.
- Work with structured (PostgreSQL, MySQL) and unstructured databases (MongoDB, Cassandra, DynamoDB).
- Integrate and manage Vector Databases (Pinecone, Milvus, Weaviate, Chroma) for AI-powered search and recommendations.
- Implement sharding, clustering, caching, and replication strategies for scalability.
- Manage both transactional and analytical workloads efficiently.
- Implement real-time data streaming with Apache Kafka, Pulsar, or Redis Streams.
- Build live features (e.g., notifications, chat, analytics) using WebSockets & Server-Sent Events (SSE).
- Visualize large-scale data in real time for dashboards and BI applications.
- Deploy applications on cloud platforms (AWS, Azure, GCP).
- Use Docker, Kubernetes, Helm, and Terraform for scalable deployments.
- Maintain CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI.
- Monitor, log, and ensure high availability with Prometheus, Grafana, ELK/EFK stack.
- Integrate state-of-the-art AI/ML models for personalization, recommendations, and semantic search.
- Implement Retrieval-Augmented Generation (RAG) pipelines with embeddings.
- Work on multimodal data processing (text, image, and video).
- Front-End: HTML5, CSS3, JavaScript, TypeScript, React, Next.js, Tailwind CSS/Bootstrap/Material-UI
- Back-End: Python (Django/DRF), Node.js/Express
- Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB, Vector Databases (Pinecone, Milvus, Weaviate, Chroma)
- APIs: REST, GraphQL, gRPC
- Streaming: Apache Kafka, Apache Pulsar, Redis Streams
- Visualization: D3.js, Highcharts, Plotly, Deck.gl
- Deployment: Docker, Kubernetes, Helm, Terraform, ArgoCD
- Cloud: AWS Lambda, Azure Functions, Google Cloud Run
- Monitoring: Prometheus, Grafana, OpenTelemetry