NBBL - Senior Associate Application Development (Java Developer )

Key responsibilities

1. Experience in enterprise software environment using java & J2EE technologies

2. Having sufficient design experience in a complex enterprise software environment.

3. Strong foundation in computer science fundamentals: data structures, algorithms, and coding

4. Hands on experience in developing code using Kafka and Redis

5. Good exposure to various Design patterns

6. Good working knowledge of UML and hands-on experience in at least one of the UML tools

7. Hands-on experience with Java, J2EE, Spring, Hibernate, Web Services, REST, SQL

8. Knowledge of Open-Source tools is a must

9. Strong experience in relational database (Postgres) and SQL. Experience of NoSQL (Cassandra/Foundation DB) highly desirable.

10. Good team player -Needs to work with Architects/ technical leads/ business leads to arrive at solutions

11. Handson experience using modern AIpowered developer tools (Copilot, Kilo Code, etc.) for coding, refactoring, documentation, and test generation.

12. Basic understanding of Gen AI and Machine Learning concepts, including Agentic AI, LLM capabilities, prompt engineering fundamentals, and AIassisted development workflows.

13. Experience integrating or consuming AI/ML or LLMbased services and APIs with awareness of responsible and secure use of AI in enterprise environments.

Key skills and experience required :

1. 3- 6 years of handson experience in Java, J2EE, Spring, Hibernate, REST, and SQL

2. Strong foundation in computer science fundamentals data structures, algorithms, and problemsolving

3. Experience working with Kafka and Redis

4. Solid understanding of design patterns and UML; handson with at least one UML tool

5. Strong experience with relational databases (Postgres); exposure to NoSQL (Cassandra/Foundation DB) preferred

6. Knowledge and practical use of opensource tools

7. Exposure to AIpowered developer tools (Copilot, Kilo Code, etc.) for coding, refactoring, testing, and documentation

8. Basic understanding of Gen AI, prompt engineering, agentic AI, and AI-assisted development workflows

9. Experience integrating or consuming AI/ML or LLM-based services and APIs with a focus on secure and responsible use

10. Ability to collaborate with architects, tech leads, and business teams to drive solutioning

Good communication skills with the ability to articulate technical concepts clearly