Senior Java Developer

JD: Java Full Stack DeveloperPrimary ResponsibilitiesLead end to end design and development of Java full stack applications from concept through productionDevelop and integrate AI driven capabilities including vector search, semantic search and intelligent retrieval systems.Build scalable secure and resilient cloud native solutions supporting P1 critical applications handling PII dataDrive benefit digitization efforts to accelerate delivery timelines for Benefit Answers and Benefit HubProvide onshore support for UAT and Production ensuring timely issue resolution and system stabilityRequired Skills And Attributes8 12 years of experience in software development with strong Java full stack expertiseHands on experience withJavaFrontend frameworksREST API development and distributed systemsExperience with cloud platformsWorking knowledge ofAI ML integration in applicationsVector search semantic search solutionsStrong understanding ofSecure coding practices especially in PII sensitive environmentsSystem performance reliability and scalabilityExperience supporting UAT and Production environmentsPreferred Skills And Attributes10 years of experience with exposure to AI powered platforms or solutionsExperience withLLM integrations embeddings and vector databasesAI orchestration frameworks or intelligent agent systemsFamiliarity withHealthcare Benefits domainBenefit Answers Benefit Hub or similar enterprise platformsExperience withObservability toolsData pipelines and real time processing systemsPrior experience working in global delivery modelsPreferred Experience Domain BackgroundHealthcare Insurance or Benefits platform experienceExperience working on mission critical applicationsExposure to systems managing member data and PIIThe application handles PII data requiring onshore support for complianceRequires real time UAT and Production support coordinationEssential for ensuring on time delivery of a P1 critical application.AI SkillsConsistent Use Maintain 90% weekly usage of approved AI toolsApplied Productivity: Use AI tools to enhance coding, documentation, data analysis, and decision-making workflowsContinuous Learning: Stay current with evolving AI capabilities and apply them to improve delivery quality and velocity