Sr. Java Developer (With GenAI)
Position: Sr. Java Developer (With GenAI) Location: New York City, NY*** Initially Remote(but later it will onsite)***Contract: 1-2 YearsResponsibilitiesExperience in Java framework developmentExperience building and managing a highly technical team working on business critical applicationsHands on Able and willing to write well documented high performance reliable maintainable codeExcellent design and programming experience in Core JavaJEE Concurrency REST APIs Spring Boot Framework and microservices GraphQL is a plusFull working knowledge of software engineering principles design patterns refactoring and product development practices in complex enterprise cloud environmentsExcellent core object-oriented and functional programming skillsExcellent working knowledge of Git source control managementWorking knowledge of SQL and NoSQL databasesExperience with one or more APM frameworks with a solid understanding of integration with OAuth2 OIDC and JWTGood understanding of containerization infrastructure virtualization technologies such as Docker and KubernetesSolid experience with C4 software architecture models or DFDsMetrics driven development experience with an emphasis on observabilityWorking knowledge of 12Factor cloud native apps and CICDProficient with AWS and/or GCPStrong analytical and problem-solving skills with attention to detailHardworking with a whatever it takes attitude Someone that gets things doneAble to demonstrate effective teamwork both within the immediate team and across functional teamsExcellent communications skills and able to lead a team of highly technical individualsFamiliar with Agile SCRUM SAFe development methodologiesExcellent organizational and planning skillsGen AIHands on experience to rewrite enrich and maintain manual test cases coverage clarity reusability using Claude or relevant data modleUse GenAI to generate functional test cases from user stories requirements and expand edge negative scenariosDrive manual QA enrichment by adopting AI tools for test design scenario generation and test data suggestionsEnsure AI outputs are grounded using project context requirements past defects known issues via RAG conceptsFamiliarity with Agentic AI frameworks task planning tool usage iterative refinement to improve test workflowsBasic familiarity with Docker to run validate AI utilities or test tooling in a containerized setup