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.

Primary Responsibilities:

• Support and streamline monitoring and alerting across multiple M&A partners
• Design, implement, and manage Kubernetes clusters to support our applications and services
• Develop and maintain automation scripts using Ansible for configuration management and deployment
• Collaborate with data scientists and machine learning engineers to deploy and manage machine learning models in production
• Monitor and optimize the performance, reliability, and scalability of our infrastructure
• Implement and manage CI/CD pipelines to automate the build, test, and deployment processes
• Troubleshoot and resolve issues related to infrastructure, deployment, and performance
• Ensure security best practices are followed in all aspects of the infrastructure and deployment processes
• Document processes, procedures, and best practices for the DevOps team
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Bachelor's degree in Computer Science, Engineering, or a related field
• 7+ years of experience in a DevOps role or similar position
• Proficiency in Kubernetes, including experience with cluster setup, management, and troubleshooting
• Experience with Ansible for configuration management and automation
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Knowledge of machine learning concepts and experience deploying machine learning models
• Solid understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, or similar
• Proven excellent problem-solving skills and attention to detail
• Solid communication and collaboration skills

• Experience with containerization technologies such as Docker/Podman
• Experience with "Infrastructure as Code" (IaC) tools such as Terraform
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack
• Knowledge of scripting languages such as Python, Bash, PowerShell or similar