Backend Lead - Java/Python

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.