Senior DevOps Engineer

UnitedHealth Group•Eden Prairie, MN

14h•$91,700 - $163,700•Remote

About The Position

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, data and resources 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. The DevOps Engineer will be responsible for designing, implementing, and maintaining our cloud infrastructure, with a primary focus on Azure and Kubernetes environments. You will develop and manage infrastructure as code using Terraform, ensuring scalable, reliable, and secure deployments across our cloud platforms. A key aspect of this role includes establishing and maintaining comprehensive observability solutions using tools like Datadog, including the automated deployment of monitors, dashboards, and alerting systems through Terraform. You will work closely with development and security teams to ensure all applications and infrastructure adhere to organizational security standards and compliance requirements. Additionally, you will actively monitor cloud infrastructure costs, identify optimization opportunities, and implement cost-saving measures while maintaining system performance and reliability. Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. 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.

Requirements

Bachelor's degree or equivalent relevant experience
4+ years of experience in DevOps or infrastructure engineering roles, with strong expertise in Terraform and infrastructure as code practices
3+ years of experience with Azure/ AWS/ GCP cloud services, particularly Kubernetes Service (AKS), virtual networking and container orchestration
3+ years of experience in CI/ CD pipeline development and management, for example, GitHub actions, Azure DevOps etc.

Nice To Haves

Demonstrated experience implementing and managing observability platforms such as Datadog, Prometheus, or similar tools, including creating automated monitoring solutions and dashboards
Strong understanding of security best practices, compliance frameworks (such as SOC 2, HIPAA, or ISO 27001), and cloud security controls are essential
Experience with cost optimization strategies in cloud environments and familiarity with FinOps principles is highly valued
Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively across technical and non-technical teams
Relevant certifications such as Terraform Associate, Azure Solutions Architect, or CKA/CKAD

Responsibilities

Designing, implementing, and maintaining cloud infrastructure, with a primary focus on Azure and Kubernetes environments.
Developing and managing infrastructure as code using Terraform, ensuring scalable, reliable, and secure deployments across cloud platforms.
Establishing and maintaining comprehensive observability solutions using tools like Datadog, including the automated deployment of monitors, dashboards, and alerting systems through Terraform.
Working closely with development and security teams to ensure all applications and infrastructure adhere to organizational security standards and compliance requirements.
Actively monitoring cloud infrastructure costs, identifying optimization opportunities, and implementing cost-saving measures while maintaining system performance and reliability.
Leveraging enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.