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 Responsibility:

• 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 regards 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

Required Qualifications:

• Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience
• Certifications in relevant technologies (e.g., RHCE, Terraform Associate, Microsoft Power BI)
• 2+ years of experience in AI/ML engineering or related fields
• Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines
• Hands-on experience with Power BI or equivalent data visualization tools
• Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation
• Experience with CI/CD tools such as Jenkins, GitHub Actions, Docker, and Kubernetes
• Experience with ML frameworks (eg, PyTorch, TensorFlow)
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Knowledge of ethical AI principles and responsible AI deployment strategies
• Knowledge of containerization tools like Docker and orchestration with Kubernetes
• Familiarity with configuration management and infrastructure-as-code tools (e.g., Ansible, Terraform)
• Solid understanding of Linux operating systems, including system administration and security practices
• Exposure to cloud-native AI deployment and monitoring practices
• Proficiency in Python scripting with a solid understanding of software development principles
• Proven solid problem-solving skills and the ability to work independently or as part of a team
• Proven excellent communication and documentation skills

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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