Lead Full Stack Developer (Python Django React AWS GenAI)

Location: Coimbatore

CTC: Up to 20 LPA

Experience: 8-12 Years

Employment Type: Full-Time

Job Summary

We are hiring a Lead Full Stack Developer to drive the development of a cutting-edge AI-powered data platform built on modern cloud-native architecture.

This role involves working across backend (Python/Django), frontend (React), cloud infrastructure (AWS + Kubernetes), and agentic AI frameworks (LangChain, LangGraph) to build scalable, intelligent applications.

If you enjoy building end-to-end systems, leading teams, and working with GenAI technologies , this role is for you.

Key Responsibilities

• Design and develop scalable backend services using Python Django REST Framework
• Lead frontend development using React.js, TypeScript, and modern UI libraries
• Architect and build microservices-based systems with strong API contracts
• Develop and deploy applications on AWS (S3, EKS, Lambda, SQS, RDS, CloudWatch)
• Work on containerized environments using Kubernetes (EKS) and CI/CD pipelines
• Design and implement AI agent workflows using LangChain / LangGraph / Agno
• Build RAG pipelines and agent orchestration systems with vector databases (pgvector)
• Collaborate with data teams to integrate ML pipelines and data workflows
• Implement event-driven architectures (Kafka/SQS)
• Ensure system scalability, observability, and performance optimization
• Lead code reviews, architecture discussions, and mentor team members

• Strong experience in Python, Django, React, JavaScript/TypeScript
• Hands-on experience with AWS cloud services
• Experience with Kubernetes (EKS) and containerized deployments
• Solid understanding of REST APIs and microservices architecture
• Experience with SQL NoSQL databases
• Exposure to LangChain / LangGraph / AI Agents / RAG pipelines
• Knowledge of CI/CD pipelines (GitHub Actions, CodePipeline)
• Strong problem-solving and system design skills

• Experience with Airflow / Dagster (data pipelines)
• Knowledge of ETL tools (DBT, Fivetran, Informatica, Matillion)
• Experience with Kafka / Spark Streaming
• Familiarity with Iceberg data lakes / metadata systems
• Experience building SaaS products

• 8+ years of hands-on development experience
• Strong technical leadership and mentoring ability
• Experience building scalable, production-grade applications
• Passion for AI, cloud, and modern architecture

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