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Mid-level generalist backend role, hybrid metro location, and broad required stack create high competition.
Strong backend and cloud skills transfer across industries, but enterprise Java and AI-SDLC add some specialization.
Explicit 5+ years and extensive mandatory Java, cloud, and CI/CD skills raise shortlisting strictness.
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Lead architecture, design, and development of scalable enterprise Java applications using microservices, Spring Boot, and REST APIs.
Drive integration of AI tools (LLMs, RAG, AI-assisted coding) into the Software Development Life Cycle to enhance productivity, code quality, and testing.
Provide technical leadership across engineering teams, including mentoring senior developers, defining roadmaps, and driving modernization and CI/CD automation.
5+ years of Core Java development experience with strong skills in Java, Spring Boot, Spring MVC, Spring Security, and Spring Data.
Experience with microservices architecture, multithreading, concurrency, RESTful APIs, SQL and NoSQL databases, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, or GCP).
Hands-on experience integrating AI tools into SDLC covering AI-assisted coding, unit test generation, code review, documentation, refactoring, bug and security analysis.
Work Experience Required: 5+ years in relevant Java and AI-enabled software development.
Experienced in leading enterprise Java application development combining deep AI integration into SDLC processes for developer productivity and code quality improvements.
Proficient in building or integrating AI-powered features using LLMs, prompt engineering, vector databases, RAG architectures, and AI frameworks like LangChain or LlamaIndex.
Comfortable providing technical leadership, defining scalable and secure software architectures, guiding modernization, and driving CI/CD pipelines in a cloud-native environment.