Java Developer With GenAI

Experience in Java framework development Experience building and managing a highly technical team working on business critical applications Hands on Able and willing to write well documented high performance reliable maintainable code Excellent design and programming experience in Core JavaJEE Concurrency REST APIs Spring Boot Framework and microservices GraphQL is a plus Full working knowledge of software engineering principles design patterns refactoring and product development practices in complex enterprise cloud environments Excellent core object-oriented and functional programming skills Excellent working knowledge of Git source control management Working knowledge of SQL and NoSQL databases Experience with one or more APM frameworks with a solid understanding of integration with OAuth2 OIDC and JWT Good understanding of containerization infrastructure virtualization technologies such as Docker and Kubernetes Solid experience with C4 software architecture models or DFDs Metrics driven development experience with an emphasis on observability Working knowledge of 12Factor cloud native apps and CICD Proficient with AWS and/or Google Cloud Platform Strong analytical and problem-solving skills with attention to detail Hardworking with a whatever it takes attitude Someone that gets things done Able to demonstrate effective teamwork both within the immediate team and across functional teams Excellent communications skills and able to lead a team of highly technical individuals Familiar with Agile SCRUM SAFe development methodologies Excellent organizational and planning skills, Hands on experience to rewrite enrich and maintain manual test cases coverage clarity reusability using Claude or relevant data model Use GenAI to generate functional test cases from user stories requirements and expand edge negative scenarios Drive manual QA enrichment by adopting AI tools for test design scenario generation and test data suggestions Ensure AI outputs are grounded using project context requirements past defects known issues via RAG concepts Familiarity with Agentic AI frameworks task planning tool usage iterative refinement to improve test workflows Basic familiarity with Docker to run validate AI utilities or test tooling in a containerized setup