Lead DevOps Engineer - Remote

Optum is a global health care innovation company developing solutions across data analytics, artificial intelligence, and cybersecurity. The Lead DevOps Engineer will design and deploy enterprise cloud infrastructure, CI/CD pipelines, and AI-powered automation for Medicare platforms while leading responsible AI adoption, MLOps, reliability, security, and engineering collaboration.

Responsibilities:

• Design, develop, and deploy AI-powered solutions and automated pipelines to address complex infrastructure and delivery challenges, with a focus on responsible use of AI
• Use enterprise-approved AI tools to streamline engineering workflows, automate infrastructure management tasks, and drive continuous operational improvement
• Evaluate emerging technology and AI trends to inform solution design, platform architecture, and strategic innovation across DevOps operations
• Architect, build, and maintain robust CI/CD pipelines, Infrastructure as Code (IaC), and automated deployment solutions across multi-cloud environments
• Establish MLOps infrastructure and deployment frameworks to support model lifecycle management, monitoring, and AI/ML pipeline automation
• Drive adoption of Site Reliability Engineering (SRE) principles, container orchestration (Kubernetes), and automated testing standards across technical teams
• Create enterprise telemetry, logging, and alerting systems to ensure high availability, security, and performance across healthcare delivery platforms
• Partner with security, privacy, and compliance leaders to enforce pipeline compliance, automated security testing, and responsible AI governance
• Provide technical leadership, mentorship, and architectural guidance to DevOps and software engineering teams

Requirements:

• 5+ years of experience in DevOps engineering, site reliability engineering, or cloud platform infrastructure
• 3+ years of experience designing and managing automated CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, or Azure DevOps)
• 3+ years of experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, or Ansible)
• 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 building, deploying, and maintaining AI/ML pipelines, MLOps tooling, or AI-powered automation solutions
• 2+ years of experience implementing monitoring, observability, and alerting solutions (e.g., Datadog, Splunk, Prometheus, Grafana, or Dynatrace)
• 1+ years of experience scripting or programming in languages such as Python, Bash, Go, or PowerShell
• 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