- Job Title: Java Developer
- Division:Payment Domain
- Experience: 4\-6Years
- Location: Hyderabad (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
- 4–6 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