The candidate must demonstrate comprehensive expertise in Spring Boot 3.x and Spring Batch 5.x frameworks, with deep knowledge of JPA/Hibernate implementations for both Oracle and H2 databases, and specialized experience with GDG management and batch processing patterns including tasklets, listeners, and chunk-based processing. The role requires fundamental understanding in AI-assisted development tools (ChatGPT, Cursor AI, GitHub Copilot) with some experience in prompt engineering for legacy code conversions and AI code validation processes. Leadership capabilities are equally critical, requiring proven experience leading teams of 3-5 developers, conducting comprehensive code reviews, and mentoring junior developers on Spring Boot/Batch technologies while delivering technical training and knowledge transfer programs that ensure consistent enterprise standards across modernization initiatives.
Key Highlights
Technical Requirements (Based on Our Project)
- Spring Boot 3.x & Spring Batch 5.x - Exactly what we used
- JPA/Hibernate with Oracle/H2 - Database technologies from our project
- GDG Management - Specific to the file versioning we implemented
- Batch Processing Patterns - Tasklets, listeners, chunk processing
- REST APIs for Job Management - Like our JobController
- Comprehensive Error Handling - Retry mechanisms, skip policies
AI-Assisted Development Focus
- AI tools like ChatGPT, Cursor AI, GitHub Copilot experience
- Prompt engineering for legacy conversions
- AI code validation and review processes
- AI-assisted debugging and problem-solving