Lead DevOps Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

1d•$112,700 - $193,200•Remote

About The Position

As a Lead DevOps Engineer within UnitedHealthcare Medicare & Retirement, you will lead the design, build, and deployment of enterprise-scale cloud infrastructure, automated CI/CD pipelines, and AI-powered automation solutions supporting critical Medicare platforms. In this role, you will leverage enterprise-approved AI tools to streamline technical workflows, architect continuous delivery pipelines for traditional and AI/ML applications, and drive responsible AI adoption across engineering operations. You will collaborate closely with software engineering, data science, and security teams to build resilient, scalable infrastructure that accelerates the delivery of high-quality healthcare services for millions of Medicare-eligible individuals. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. 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.

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

Nice To Haves

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

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