Job Details

Senior DevOps Engineer

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovativeapproaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

The Senior DevOps Engineer is responsible for supporting and operating cloud based AI and data platforms, with a focus on reliability, scalability, and security. This role emphasizes cloud infrastructure, DevOps, and operational support for AI/ML workloads, including AIOps, MLOps, and LLMOps capabilities, and works closely with engineering teams to troubleshoot and resolve issues in production environments.

You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Design, implement, and support cloud based infrastructure for AI, data, and application platforms
• Provide DevOps and AIOps support for production AI/ML and data applications
• Support MLOps and LLMOps practices, including deployment, monitoring, and operational troubleshooting
• Troubleshoot and resolve cloud application issues and vulnerabilities to ensure platform stability and security
• Collaborate with engineering teams to support application deployments and operational readiness
• Contribute hands on to cloud based development and automation efforts
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.

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:

• 8+ years of hands on experience supporting cloud based infrastructure in production environments (AWS, Azure, or GCP)
• 5+ years of experience applying DevOps practices (CI/CD, infrastructure as code, deployment automation) in enterprise systems
• Proven solid understanding of cloud networking: VNETs, Subnets, Load Balancers, Security Groups
• Demonstrated experience supporting AI/ML workloads in production, including exposure to AIOps, MLOps, or LLMOps use cases
• Experience with Infrastructure as Code (IaC) development using Terraform
• Proven ability to troubleshoot and resolve production incidents, including root cause analysis for cloud applications and services
• Experience remediating cloud security issues or vulnerabilities in coordination with engineering or security teams
• Python development experience used for automation, tooling, or operational support (e.g., scripts, pipelines, monitoring utilities)
• Containerization: Experience with Docker and Kubernetes

Preferred Qualifications:

• Experience supporting AI/ML or data driven platforms
• Experience addressing cloud security and vulnerability remediation
• Demonstrated familiarity with enterprise scale cloud environments
• Reside in Minnesota

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.