Senior DevOps Engineer

UnitedHealth Group•Raleigh, NC

10d•$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 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. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor's degree in Computer Science, IT or Engineering related field
5+ years of experience in DevOps, Platform Engineering
5+ years of experience with CI/CD tools such as Git, Jenkins, or equivalent enterprise platforms
3+ years of experience with .NET, Angular and Typescript
3+ years of proven experience operating and supporting any one Azure public cloud infrastructure
3+ years of experience in scripting or programming languages (Python, Shell, or similar) with a strong automation mindset
3+ years of experience in Infrastructure as Code (IaC): Terraform‑based, repeatable environment provisioning
1+ years of hands‑on experience with Databricks platform operations, including clusters, jobs, workflows, and environment configuration

Nice To Haves

Experience with Infrastructure as Code, automation, and configuration management practices
Experience supporting mission‑critical data and analytics platforms, including incident management and RCA
Experience with containerization and orchestration technologies (Docker, Kubernetes, AKS)
Experience operating in security‑ and compliance‑driven environments, including RBAC, audit controls, and governance
Prior experience mentoring engineers or acting as a technical lead within DevOps or platform initiatives
Solid understanding of monitoring, logging, and observability in large‑scale production environments
Strong communication skills and ability to collaborate with cross‑functional engineering teams
Exposure to AI‑enabled DevOps or AIOps, including automated remediation, intelligent monitoring, or predictive analytics
Familiarity with GenAI tools for AI‑assisted troubleshooting, pipeline optimization, or operational insights

Responsibilities

Design, implement, and operate CI/CD pipelines supporting application, data, and platform deployments across Azure and Databricks environments
Own production reliability, availability, performance, and scalability for cloud platforms, including Databricks workspaces, jobs, clusters, and workflows
Build and maintain Infrastructure as Code (IaC) and configuration management to provision and manage Databricks, cloud infrastructure, and networking in a repeatable and secure manner
Automate Databricks environment management, including workspace configuration, cluster policies, job orchestration, and access controls
Implement and enhance monitoring, alerting, and observability across cloud and Databricks platforms using Splunk, Azure Monitor, and telemetry frameworks
Partner with data engineering, platform, security, and product teams to enable reliable, compliant, and scalable data pipelines and analytics platforms
Drive cloud and platform modernization initiatives, including containerization, platform standardization, and Databricks best practices
Embed AI‑assisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate operational tasks, improve deployment reliability, and optimize system performance
Enable AIOps capabilities such as intelligent alerting, anomaly detection, log analysis, and predictive insights for proactive operations across Databricks workloads
Support production issue triage and resolution, including on‑call support, incident management, and post‑incident root cause analysis
Ensure security‑by‑design and compliance across pipelines and platforms, including secrets management, RBAC, audit readiness, and governance
Continuously reduce operational toil and improve delivery velocity through automation, AI‑driven insights, and self‑service tooling
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI