Sr DevOps Engineer-Remote-; in MN Hybrid

Position: Sr DevOps Engineer-Remote-(If in MN then Hybrid)
Job d:

Location:

Eden Prairie, Minnesota, United States Salary: $91,700 - $163,700/year

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Technology Company:
United Health Group Our Company 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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.  Position Summary As a Senior Dev Ops Engineer within Optum Technology, you will lead the end-to-end release lifecycle and build enterprise-grade automation that elevates software delivery performance across cloud platforms. In this role, you will design and optimize robust CI/CD pipelines, manage infrastructure as code using Terraform on Azure, and build production-ready AI agents and AI-driven automation to streamline release engineering, deployment support, and operational workflows.

You will partner cross-functionally with development, SRE, security, and platform teams to establish high standards of governance, quality, and operational reliability.

Primary Responsibilities Lead the end-to-end release lifecycle for Java-based applications deployed on Azure, enforcing release governance, change standards, deployment readiness criteria, and environment parity practices

Design, implement, and optimize CI/CD pipelines using Git Hub Actions and Azure Dev Ops to ensure secure and efficient software delivery across the SDLCDesign, develop, deploy, and operationalize production-ready AI agents and agent-based automation to improve release engineering, deployment support, incident triage, and engineering productivity with an emphasis on responsible AI use Build, provision, and manage Azure infrastructure using Terraform across services including AKS, App Services, networking, storage, identity, and monitoring

Implement and support modern deployment strategies including blue/green, canary, and rolling releases to enhance release quality, speed, resilience, and observability

Identify and implement enterprise automation solutions using approved tools to reduce manual effort, accelerate root cause analysis, and strengthen release reliability

Troubleshoot and resolve complex issues across application, pipeline, infrastructure, deployment, and automation layers

Partner closely with development, SRE, security, and platform teams to build reusable automation frameworks, release standards, and operational runbooks

Evaluate emerging technologies and automation trends to inform solution design, strategic innovation, and continuous process improvement

Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications 3+ years of experience in Release Engineering, Dev Ops, Site Reliability Engineering, or Software Engineering3+ years of hands-on experience supporting Java applications, including Spring Boot, Maven (Must have) and/or Gradle, Microservices3+ years of experience with Azure services (such as AKS, App Services, networking, identity, monitoring, and storage) and managing infrastructure with Terraform across the full lifecycle3+ years of CI/CD experience using Git Hub Actions, Azure Dev Ops, or similar pipeline platforms2+ years of Hands-on experience designing, building, and implementing AI agents or agent-based automation for engineering, release, platform, or operational workflows2+ years of experience with Docker, Kubernetes, Git workflows, artifact repositories, deployment strategies, and pipeline quality gates

Preferred Qualifications Bachelor's degree or 4+ years of equivalent software engineering or Dev Ops experience in lieu of a degree

Strong understanding of AI-assisted automation, prompt-driven tooling, agent orchestration, and practical enterprise use cases in software…