Backend Lead - Java and Python

Backend Engineering Lead – Python with Java

Total experience: 6 – 8 years

Required Skills & Qualifications

• Working knowledge of Python is a must


• Strong expertise in Java (8+) and Spring Boot


• 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)

Job Highlights

• Lead the design, development, and scaling of backend systems for a high-performance e-commerce platform (Smytten).


• 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.

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).

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.