Backend Engineering Lead

Backend Engineering Lead – Java, Python & AI-enabled Systems.

Job Highlights

• Lead the design, development, and scaling of backend systems for a high-performance e-commerce platform.
• Architect and build scalable, fault-tolerant microservices using Spring Boot.
• Drive AI-assisted development practices using tools like GitHub Copilot, Cursor, or similar.
• Own end-to-end backend delivery including design, development, testing, deployment, and monitoring.
• Ensure high system performance through load testing, performance tuning, and observability practices.
• Work closely with product, frontend, and QA teams to deliver robust and scalable features.
• Improve unit testing, integration testing, and debugging using AI assistance
• Work with and integrate Python-based services for AI, data processing, chatbot and automation use cases.
• Total experience: 4 – 6 years in Java development.

Key Responsibilities:

• Lead the architecture, design, and development of scalable backend systems for our e-commerce platform
• Build and optimize REST APIs used across mobile apps, websites, CMS.
• Drive adoption of microservices architecture at both application and database levels.
• Conduct code reviews, performance tuning, and troubleshooting of production systems.
• Promote and guide the team in effective use of AI tools for development, testing, and debugging
• Contribute to CI/CD pipelines and cloud deployments
• Integrate and leverage Python-based services where applicable (e.g., AI integrations).

Required Skills & Qualifications

• Strong expertise in Java (8+) and Spring Boot
• Working knowledge of Python is a must
• Knowledge of AI/ML integration in backend systems is a must
• Hands-on experience with Microservices Architecture
• Deep understanding of REST API design and best practices
• Experience with ORM frameworks (JPA/Hibernate)
• Strong experience with PostgreSQL and NoSQL databases
• Experience in e-commerce domain (consumer end)
• Exposure to event-driven architecture (Kafka, RabbitMQ)

Good to Have

• Experience in analytics systems using bigquery.
• Familiar with cloud platforms (AWS/GCP) and containerization
• Exposure to libraries/frameworks (FastAPI, Flask, Pandas, etc.) is a plus

Education: B.Tech / BE / M.Tech / MCA.