Senior Software Engineer

Improve the lives of others while Caring. Connecting. Growing together.

Job Description
- Senior Software Engineer (2392643)

Senior Software Engineer - 2392643

Description
- External

United Health Group is a health care and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses,
United Healthcare and Optum
, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together

You’ll enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

At United Healthcare, we are transforming the healthcare experience through innovative technology. As a Senior Software Engineer in the Claims Global Claims Operations (GCO) team, you will join us at the forefront of our claims automation initiatives. Our initial automation efforts (AI 1.0) have already delivered significant annual savings. Now, as we transition to our next-generation automated solutions (AI 10.0) combined with our retail-focused efforts, we have the potential to fundamentally optimize our operating structure.

The ideal candidate combines strong software engineering expertise with modern cloud technologies, Dev Ops practices, and experience integrating AI/ML capabilities into production-grade applications.

• Design, develop, and maintain scalable enterprise-grade applications supporting Agentic AI and claims automation use cases
• Build high-performance backend services and APIs for AI-assisted workflows, intelligent decision systems, and orchestration platforms
• Implement reusable components, design patterns, and secure coding practices across the application stack
• Lead design discussions, code reviews, and technical solutioning sessions
• Mentor junior engineers and promote engineering best practices
• Contribute to architecture reviews, governance processes, and technology strategy
• Partner with cross-functional teams to ensure timely and high-quality delivery
• Collaborate with product managers, architects, AI engineers, and business stakeholders to translate requirements into technical solutions
• Architect, develop, and deploy applications on AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, Aurora, Bedrock, Sage Maker)
• Design event-driven and microservices architectures for scalable AI workloads
• Implement Infrastructure-as-Code using Terraform and/or Cloud Formation
• Optimize cloud infrastructure for performance, security, reliability, and cost efficiency
• Build and optimize CI/CD pipelines using Git Hub Actions, Azure Dev Ops, or Jenkins
• Implement automated testing strategies including unit, integration, API, and end-to-end testing
• Adopt Dev Ops and LLMOps best practices for model deployment, monitoring, observability, and lifecycle management
• Improve system availability, fault tolerance, and operational excellence through monitoring and alerting frameworks
• Develop APIs and services supporting document ingestion, knowledge management, vector search, and workflow execution
• Design and optimize SQL/No
  
  SQL, Vector Databases, Knowledge Graphs, Semantic Search for transactional and AI-driven workloads
• Enable integration with enterprise systems, claims platforms, and external healthcare services
• Support data validation, monitoring, and governance requirements for AI solutions
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AIac

You’ll be rewarded and recognized for your performance in an environment that will challenge…