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.
Skills: copilot,python,e-commerce,springboot,java,ai,architecture,microservices
