Senior Software Engineer - Java, Spring Boot, AWS

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Design, develop, test, and maintain scalable Java-based applications and microservices
• Build and enhance RESTful APIs using Spring Boot and modern software design principles
• Collaborate with product owners, architects, and cross-functional teams to deliver high-quality solutions
• Participate in end-to-end software development lifecycle activities, including design, development, testing, deployment, and production support
• Develop cloud-ready applications following security, scalability, and reliability best practices
• Contribute to CI/CD pipelines and DevSecOps processes to improve deployment efficiency and operational excellence
• Troubleshoot application issues and perform root cause analysis for production incidents
• Participate in code reviews and promote engineering best practices within the team
• Leverage AI-powered engineering tools to improve productivity, code quality, testing, and documentation
• Support innovation initiatives focused on automation, intelligent workflows, and AI-enabled solutions
• AI Builder Expectations
  • This role places a strong emphasis on AI adoption and innovation. The selected candidate will be expected to:
    • AI-Powered Engineering
      • Utilize AI-assisted development tools such as GitHub Copilot, M365 Copilot, and enterprise AI platforms to accelerate coding, debugging, testing, and documentation
      • Apply AI-first development practices to improve software delivery speed, quality, and team productivity
      • Use AI to generate test cases, automate code reviews, optimize code quality, and accelerate troubleshooting
    • Building AI-Enabled Solutions
      • Partner with senior engineers and architects to design and implement AI-powered application capabilities
      • Contribute to solutions leveraging Large Language Models (LLMs), Generative AI, Agentic AI, intelligent search, and Retrieval-Augmented Generation (RAG) patterns
      • Build integrations between enterprise applications and AI services through APIs and microservices
      • Help develop intelligent user experiences, recommendation capabilities, conversational interfaces, and workflow automation solutions
    • Innovation & Continuous Learning
      • Stay current with emerging AI technologies, frameworks, and industry trends
      • Evaluate new AI tools and recommend innovative ways to improve engineering efficiency and business outcomes
      • Participate in hackathons, innovation initiatives, proof-of-concepts, and AI adoption programs
      • Share AI learnings and best practices with peers and broader engineering teams
    • Responsible AI Development
      • Build AI-enabled capabilities following enterprise standards for security, privacy, compliance, and responsible AI usage
      • Ensure AI integrations are scalable, maintainable, and aligned with healthcare industry requirements
    • What Success Looks Like
      • Delivers quality software while effectively leveraging AI to improve engineering productivity
      • Demonstrates curiosity and hands-on experimentation with AI technologies
      • Identifies opportunities to automate repetitive engineering activities
      • Contributes to the development of intelligent, AI-enabled business solutions
      • Acts as an advocate for AI-driven engineering practices across the team
    • AI Builder Responsibilities:
      • Use GenAI tools (Copilot, Claude, Gemini AI) to ideate, prototype, and implement features efficiently
      • Apply Vibe coding techniques to maintain clean, expressive, and AI-augmented codebases
      • Develop internal tools and scripts using AI to automate repetitive tasks and improve productivity
      • Stay current with emerging GenAI trends, tools, and ethical considerations
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all direct…