Senior DevOps Engineer

UnitedHealth Group is hiring a Senior DevOps Engineer within its UnitedHealthcare Medicare & Retirement technology organization. The role leads the release lifecycle for Java applications, manages Azure infrastructure, and builds CI/CD pipelines and production-ready AI automation. It partners with development, SRE, security, and platform teams to improve software delivery and operational resilience.

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

Requirements:

• 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)
• 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 Engineer Expert, Certified Kubernetes Administrator, or AWS/Azure AI Specialist certifications)
• Experience integrating GenAI models, LLM tooling, or automated code analysis capabilities into CI/CD pipelines
• Experience operating within a regulated healthcare, HIPAA-compliant, or financial services environment
• Proven leadership experience driving enterprise-scale DevOps transformations and automation initiatives