Sr DevOps Engineer-Remote-(If in MN then Hybrid)
About The Position
As a Senior DevOps Engineer within Optum Technology, you will lead the end-to-end release lifecycle and build enterprise-grade automation to improve software delivery performance across cloud platforms. You will design and optimize CI/CD pipelines, manage Azure infrastructure as code with Terraform, and build production-ready AI agents and AI-driven automation for release engineering, deployment support, and operational workflows. You will work with development, SRE, security, and platform teams to establish strong governance, quality, and operational reliability standards. The role offers telecommuting from anywhere in the U.S.; employees located in Minnesota work in a hybrid arrangement. Remote employees must follow UnitedHealth Group’s Telecommuter Policy.
Requirements
- At least 3 years of experience in Release Engineering, DevOps, Site Reliability Engineering, or Software Engineering.
- At least 3 years of hands-on experience supporting Java applications, including Spring Boot and Maven (required) and/or Gradle, and microservices.
- At least 3 years of experience with Azure services such as AKS, App Services, networking, identity, monitoring, and storage, and managing infrastructure with Terraform across the full lifecycle.
- At least 3 years of CI/CD experience using GitHub Actions, Azure DevOps, or similar pipeline platforms.
- At least 2 years of hands-on experience designing, building, and implementing AI agents or agent-based automation for engineering, release, platform, or operational workflows.
- At least 2 years of experience with Docker, Kubernetes, Git workflows, artifact repositories, deployment strategies, and pipeline quality gates.
- Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy.
- Candidates must pass a drug test before beginning employment.
Nice To Haves
- Bachelor’s degree, or at least 4 years of equivalent software engineering or DevOps experience in lieu of a degree.
- Strong understanding of AI-assisted automation, prompt-driven tooling, agent orchestration, and practical enterprise use cases in software delivery and operations.
- Experience defining release processes, deployment controls, and operational best practices in enterprise environments.
- Strong troubleshooting skills across application, build, deployment, infrastructure, and automation domains.
- Ability to work cross-functionally and communicate effectively with engineering, operations, and security stakeholders.
Responsibilities
- Lead the end-to-end release lifecycle for Java applications deployed on Azure, enforcing release governance, change standards, deployment readiness criteria, and environment parity practices.
- Design, implement, and optimize CI/CD pipelines using GitHub Actions and Azure DevOps for secure and efficient software delivery across the SDLC.
- Design, develop, deploy, and operationalize production-ready AI agents and agent-based automation for release engineering, deployment support, incident triage, and engineering productivity, emphasizing responsible AI use.
- Build, provision, and manage Azure infrastructure with Terraform across AKS, App Services, networking, storage, identity, and monitoring.
- Implement and support blue/green, canary, and rolling deployment strategies to improve release quality, speed, resilience, and observability.
- Identify and implement enterprise automation solutions using approved tools to reduce manual effort, accelerate root cause analysis, and improve release reliability.
- Troubleshoot and resolve complex issues across application, pipeline, infrastructure, deployment, and automation layers.
- Partner 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, emphasizing responsible AI use.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
