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Strong Tier-1 brand, mid-level Java backend role, metro location and broad skillset drive high competition.
Core Java backend skills transfer widely, but banking and GenAI integration preferences raise moderate background sensitivity.
Explicit 5+ years, mandatory Java/Spring backend skills and container/Kubernetes expectations increase shortlisting strictness.
Architect, build, and maintain scalable Java backend services and RESTful APIs using Java 17+ and Spring Boot.
Develop and deploy microservices in containerized environments (Docker, Kubernetes/OpenShift).
Integrate Large Language Model (LLM) APIs and leverage Java-based GenAI frameworks (e.g., LangChain4j, Spring AI) to build AI-driven features like RAG pipelines.
5+ years professional experience in Java backend software development.
Strong proficiency in Java 11/17+, Spring Boot, Spring Cloud, and related Java backend frameworks.
Experience with relational and non-relational databases (e.g., PostgreSQL, Oracle, MongoDB) and ORM (Hibernate/JPA).
Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
Deep expertise in Java backend engineering with significant experience in microservices architecture and containerization.
Demonstrated interest or hands-on experience with Generative AI or LLM integration within Java applications.
Ability to optimize backend systems while incorporating advanced AI features, bridging core Java skills and emerging AI technologies.