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# Senior Software Engineer

- **Company:** Unitedhealth Group Inc
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Delivery, Continuous Integration, Identity and Access Management, Message Broker, Language Modeling, OAuth, OpenID, RabbitMQ, Openid Connect, Software Engineering, Software Systems, Systems Integration, Google Cloud, LangChain, Large Language Models, Prompt Engineering, Machine to Machine Communication, Llamaindex, Generative AI, Infrastructure as Code (IaC), Agentic-AI, Event Driven Architecture, Containerization, AI Platforms, Kubernetes, Information Technology, AutoGen, Apache Kafka, Virtual Agents, Api Gateway, Restful APIs, Model Context Protocol, Terraform, Api Management, Docker, Microservices
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-eden-prairie-mn--441dd338-d635-4217-86b6-a9cf16a06c65

## About the Role

Software Engineering, MCP - Microsoft Certified Professional, Healthcare, Application Programming Interface (API), Software Engineering, Cross-Functional, Cloud Computing, Artificial Intelligence (AI), Modeling Languages, Work From Home, * 5+ years of professional software engineering experience designing, developing, and deploying enterprise-grade platforms or software systems

 * 2+ years of hands-on experience working with cloud technologies (e.g., AWS, Azure, GCP), containerization platforms (e.g., Docker, Kubernetes), and Infrastructure as Code using Terraform
 * 2+ years of experience working with API Gateway solutions (such as Kong, Azure APIM, Envoy, or equivalent)
 * 2+ years demonstrated experience building, integrating, or deploying Generative AI models, Large Language Models (LLMs), or AI platform components
 * 2+ years of working knowledge and practical experience with identity and access management controls, including OAuth2.0/2.1, OpenID Connect (OIDC), and Machine-to-Machine (M2M) identities
 * Demonstrated experience developing RESTful APIs, microservices, and automated continuous integration/continuous deployment (CI/CD) pipelines, * Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent work experience)
 * Hands-on experience with Model Context Protocol (MCP) server architecture and orchestration
 * Experience with vector databases, prompt engineering patterns, or AI agent framework tools (e.g., LangChain, LlamaIndex, AutoGen)
 * Experience designing and managing event-driven architectures and message brokers (e.g., Apache Kafka, RabbitMQ)
 * Knowledge of healthcare data privacy, security frameworks, and regulatory compliance standards (e.g., HIPAA)
 * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

As a Senior Software Engineer at Optum Technology, you will be responsible for designing and delivering production-grade Agentic AI and Generative AI platforms across enterprise systems. You will work on cutting-edge platforms involving deep integration with Model Context Protocol (MCP) servers, Large Language Models (LLMs), scalable cloud infrastructure, and modern API gateway solutions. In this role, you will collaborate with cross-functional technology and security teams to build resilient, secure, and automated platform architectures that drive innovation and transform healthcare capabilities., * Design, build, and deliver production-grade Agentic AI and Generative AI platforms, including deep integration with Model Context Protocol (MCP) servers and Large Language Models (LLMs)

 * Design, develop, and deploy AI-powered platform solutions to address complex business challenges with an emphasis on responsible, secure, and compliant AI use
 * Implement, configure, and maintain API Gateway solutions (e.g., Kong, Azure APIM, Envoy, or equivalent) to route, manage, and secure AI services and microservices
 * Enforce robust identity and access management controls across platforms, including OAuth2.0/2.1, OpenID Connect (OIDC), and Machine-to-Machine (M2M) authentication models
 * Provision, automate, and maintain cloud infrastructure using containerization technologies and Infrastructure as Code (IaC) with Terraform
 * Evaluate emerging AI trends, platform tools, and enterprise-approved frameworks to inform solution design and strategic technology innovation
 * Collaborate with software architects, security experts, and product teams to establish engineering guardrails, integration patterns, and platform best practices
 * Perform code reviews, establish automated CI/CD and testing standards, and mentor team members in modern cloud and AI platform engineering practices

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.