Senior DevOps Engineer

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.

As a Senior DevOps Engineer within the UnitedHealthcare Medicare & Retirement technology organization, you will lead the end-to-end release lifecycle for core Java applications, enforce release governance, and manage scalable Azure cloud infrastructure. In this role, you will design and optimize CI/CD pipelines, build infrastructure using Terraform, and operationalize production-ready AI agents and intelligent automation solutions to enhance release engineering, deployment support, incident triage, and engineering productivity. You will collaborate closely with software development, SRE, security, and platform engineering teams to implement modern deployment strategies, elevate software delivery quality, and promote operational resilience.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

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 GitHub Actions and Azure DevOps to ensure secure and efficient software delivery across the SDLC
• Design, 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 Cosmos DB, Container Apps, 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 enterprise-approved AI and automation tools to reduce manual effort, accelerate root cause analysis, strengthen release reliability, and drive continuous improvement
• Troubleshoot and resolve complex issues across applications, 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 directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• 4+ years of experience in systems engineering, DevOps, cloud engineering, or systems operations
• 4+ years of experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, or Ansible)
• 3+ years of experience building and maintaining CI/CD pipelines using GitHub Actions
• 3+ years of hands-on experience with cloud platforms (e.g., Azure, AWS, or GCP) and container orchestration technologies (e.g., Kubernetes, Docker, OpenShift)
• 2+ years of experience implementing monitoring, observability, and alerting solutions (e.g., Datadog, Splunk, Prometheus, Grafana, or Dynatrace)
• 1+ years of experience managing and configuring Azure networking components (such as VNets, NSGs, firewalls, or private endpoints)

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related technical field (or equivalent practical experience)
• Professional cloud, DevOps, or AI/ML certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Eng…