Cloud Engineer

About The Company Optum, a part of UnitedHealth Group, is a global organization dedicated to delivering innovative healthcare solutions through the strategic use of technology. Our mission is to help millions of people live healthier lives by connecting them with essential care, pharmacy benefits, data, and resources. We foster a culture of inclusion, talent development, and comprehensive benefits, providing our employees with opportunities for career growth and meaningful impact. As a leader in health optimization on a global scale, Optum is committed to advancing healthcare delivery, improving health outcomes, and making a difference in the communities we serve. Join us and be part of a team that cares, connects, and grows together. About The Role We are seeking a highly skilled Lead AI Ops Cloud Engineer with expertise in Site Reliability Engineering (SRE) to join our Optum Insight Engineering team. In this hands-on technical leadership role, you will be responsible for designing, building, and scaling modern AI Operations solutions that support payer and provider transformation initiatives. Your focus will be on delivering enterprise-grade AI solutions such as Agentic AI and Retrieval Augmented Generation (RAG) pipelines, ensuring they meet high standards of reliability, security, and responsible AI practices. You will lead the end-to-end development lifecycle, collaborate with cross-functional teams, and mentor engineers across the globe. This role offers the flexibility to work remotely within the U.S., with some in-office requirements for employees based in Minneapolis or Washington, D.C. Qualifications 8+ years of overall software engineering and Site Reliability Engineering (SRE) experience in a public cloud environment (GCP, AWS, Azure)3+ years of hands-on experience with Python and Terraform development2+ years of delivering AI/ML or Generative AI solutions in production environments2+ years managing Kubernetes environments (EKS, AKS, GKE, or self-hosted)Availability to work rotating 24x7 primary and secondary on-call shiftsBachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience) Responsibilities Lead the end-to-end design and implementation of AI Ops solutions, emphasizing responsible AI practicesEnhance SRE practices by leading incident response and ensuring high availability, scalability, and performance of cloud environmentsAutomate infrastructure and operations using Infrastructure as Code (IaC) tools such as Terraform and GitHub Actions, adhering to best practicesDefine and own the architecture for RAG pipelines, agentic workflows, tool calling, orchestration, and conversational context managementDesign, develop, and deploy AI-powered solutions to solve complex business challenges at an enterprise scale using RAG-based approachesCollaborate closely with development and SRE teams to improve system reliability, advocate for best practices, and mentor team membersDevelop, test, and operate software solutions using Python and Node.jsLeverage enterprise-approved AI tools to streamline workflows, automate tasks, and enhance operational efficiency Benefits Comprehensive health and wellness benefitsIncentive and recognition programsEquity stock purchase options401(k) retirement plan contributionsFlexible remote working arrangementsCareer development opportunities and ongoing trainingSupportive work environment focused on inclusion and diversity Equal Opportunity UnitedHealth Group is an Equal Employment Opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are valued and respected. Qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law. We also adhere to all applicable laws and regulations related to equal employment opportunity and are dedicated to fostering an environment of equity and fairness.