Senior Java Developer

Lead end to end design and development of Java full stack applications from concept through production Develop 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 data Drive benefit digitization efforts to accelerate delivery timelines for Benefit Answers and Benefit Hub Provide onshore support for UAT and Production ensuring timely issue resolution and system stability

8 12 years of experience in software development with strong Java full stack expertise Hands on experience with Java Frontend frameworks REST API development and distributed systems Experience with cloud platforms Working knowledge of AI ML integration in applications Vector search semantic search solutions Strong understanding of Secure coding practices especially in PII sensitive environments System performance reliability and scalability Experience supporting UAT and Production environments Preferred Skills and Attributes 10 years of experience with exposure to AI powered platforms or solutions Experience with LLM integrations embeddings and vector databases AI orchestration frameworks or intelligent agent systems Familiarity with Healthcare Benefits domain Benefit Answers Benefit Hub or similar enterprise platforms Experience with Observability tools Data pipelines and real time processing systems Prior experience working in global delivery models Preferred Experience Domain Background Healthcare Insurance or Benefits platform experience Experience working on mission critical applications Exposure to systems managing member data and PII The application handles PII data requiring onshore support for compliance Requires real time UAT and Production support coordination Essential for ensuring on time delivery of a P1 critical application. AI Skills Consistent Use Maintain 90% weekly usage of approved AI tools Applied Productivity: Use AI tools to enhance coding, documentation, data analysis, and decision-making workflows Continuous Learning: Stay current with evolving AI capabilities and apply them to improve delivery quality and velocity