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.

- 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.