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Backend Lead - Java and Python in Bangalore, India - Jobeax

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: https://jobeax.com/link/2DENLGgQM7whDhaE / BE / https://jobeax.com/link/s1WvHFV9ITSwCkyS / MCA.

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