Java Developer - Hyderabad

• 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