Manager

Position:

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About The Role

We 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 Responsibilities

Front-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.
  

Back-End Development

• 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.
  

Database & Data Management

• 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.
  

Real-Time Processing & Visualization

• 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.
  

DevOps & Deployment

• 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.
  

Good To Have AI & Advanced Capabilities

• 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).
  

Preferred Skills & Qualifications

Core Stack

• 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
  

State-of-the-Art & Advanced Tools

• 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