• Job Title: Java Developer
• Division: Banking Connect
• Experience: Minimum 3 - 6 years
• Employment Type: Contract
• Location: Chennai (Onsite - 5 Days WFO)
Key Responsibilities
• Experience in enterprise-scale software development using Java and J2EE
technologies
• Strong design experience in complex enterprise software environments
• Solid foundation in computer science fundamentals, including data structures,
algorithms, and coding
• Hands-on experience in developing and integrating code using Kafka and
Redis
• Good exposure to object-oriented design patterns
• Working knowledge of UML, with hands-on experience using at least one UML
modeling tool
• Hands-on development experience with Java, J2EE, Spring, Hibernate, RESTful
Web Services, and SQL
• Practical experience with open-source tools and frameworks
• Strong experience with relational databases (Postgres) and SQL; exposure to
NoSQL databases such as Cassandra or FoundationDB is desirable
• Ability to collaborate with architects, technical leads, and business
stakeholders to design and implement solutions
• Hands-on usage of AI-powered developer tools (e.g., Copilot, Kilo Code) for
coding, refactoring, documentation, and test generation
• Basic understanding of Generative AI and Machine Learning concepts,
including LLM capabilities, agentic AI, prompt-engineering fundamentals, and
AI-assisted development workflows
• Experience integrating or consuming AI/ML or LLM-based APIs, with awareness
of secure and responsible AI usage in enterprise environments
Key Skills & Experience Required
• 3–6 years of hands-on experience in Java, J2EE, Spring, Hibernate, REST APIs,
and SQL
• Strong problem-solving skills backed by data structures and algorithms
• Experience working with Kafka and Redis in distributed systems
• Good understanding of design patterns and UML, with hands-on modeling
experience
• Strong experience with Postgres; exposure to NoSQL databases preferred
• Practical knowledge and usage of open-source tools
• Exposure to AI-assisted development tools for coding, testing, refactoring, and
documentation
• Basic knowledge of GenAI, prompt engineering, agentic AI, and AI-assisted
workflows
• Experience consuming or integrating AI/ML services and APIs with secure
development practices
• Strong communication skills and ability to clearly articulate technical concepts
• Proven ability to work collaboratively with cross-functional technical and
business teams
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