Senior Full Stack Software Engineer

Position Summary

At UnitedHealthcare, 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.

Job Responsibilities

• 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.
• Develop responsive and intuitive frontend applications using modern JavaScript frameworks (React.js preferred) and tanstack query.
• Implement reusable components, design patterns, and secure coding practices across the application stack.
• Mentor junior engineers and promote engineering best practices.
• Lead design discussions, code reviews, and technical solutioning sessions.
• 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, SageMaker).
• Design event-driven and microservices architectures for scalable AI workloads.
• Implement Infrastructure-as-Code using Terraform and/or CloudFormation.
• Optimize cloud infrastructure for performance, security, reliability, and cost efficiency.
• Build and optimize CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
• Implement automated testing strategies including unit, integration, API, and end-to-end testing.
• Accept DevOps 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/NoSQL, 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 AI.

Required Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.
• 8 years of full-stack engineering experience with strong backend and frontend development expertise.
• 5 years of experience applying software engineering principles, design patterns, scalability, reliability, observability, and secure coding practices.
• 5 years of hands-on experience in Python development, including scalable RESTful APIs and microservices architecture.
• 4 years of experience with React.js and modern frontend development frameworks and practices.
• 4 years of experience working on AWS cloud platform, including compute, storage, networking, IAM, monitoring, and security services.
• 3 years of experience building and managing CI/CD pipelines, containerization (Docker), Kubernetes, and DevOps practices.
• 3 years of experience designing and developing distributed, event-driven applications in enterprise environments.
• 2 years of experience integrating AI/ML models, GenAI services, or intelligent automation capabilities into production applications.
• 2 years of experience leading technical discussions, driving solution design, and collaborating with cross-functional stakeholders.

Preferred Skills

• Experience with Agentic AI, Generative AI platforms, Large Language Models (LLMs), and AI orchestration frameworks.
• Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems.
• Familiarity with vector databases such as Pinecone, FAISS, OpenSearch.
• Experience with AWS Bedrock, SageMaker, or enterprise AI platforms.
• Exposure to AgentOps, LLMOps/MLOps ecosystems including model registries, evaluation frameworks, monitoring systems, and AI governance controls.
• Experience with workflow orchestration platforms, autonomous agents, and enterprise automation frameworks.
• Knowledge of healthcare, claims processing, provider operations, utilization management, or regulated environments.
• Experience working with enterprise architecture governance and secure software development lifecycle practices.
• Strong problem-solving, analytical thinking, communication, and stakeholder management skills.
• Healthcare Domain Exposure (Preferred)
• Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories).
• Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps).
• Awareness of healthcare data sensitivity and HIPAA-like compliance expectations.