DevOps Engineer (AI/ML)

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

This DevOps role requires a hybrid of cloud platform engineering, infrastructure-as-code automation, and operational governance practices to ensure reliability, security, performance, and regulatory compliance across a multi-layer AI system that supports millions of member interactions.

• Own and evolve cloud infrastructure for AI/ML agent workloads, with deep technical ownership of Infrastructure as Code modules, state management, environment promotion, and infrastructure lifecycle.
• Design, build, and maintain highly available cloud infrastructure for agent runtime, APIs, observability, logging, and secure service-to-service communication.
• Build and optimize CI/CD pipelines for containerized AI services (build, test, security scan, deploy, rollback) across development and staging environments.
• Partner with AI/ML engineers to operationalize large language model application deployments and support safe rollout patterns for new agent capabilities.
• Drive infrastructure standards for least-privilege access controls, secrets management, encryption, network segmentation, and audit readiness for sensitive healthcare workloads.
• Implement end-to-end monitoring, alerting, and distributed tracing across API services, serverless integrations, and downstream backend systems to reduce mean time to resolution.
• Improve cost, performance, and resiliency posture using autoscaling, capacity tuning, failure testing, and cloud architecture best practices.
• Contribute to release governance with runbooks, incident response playbooks, and production operational readiness reviews.

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

• 8+ years of engineering experience, including 4+ years in DevOps, Site Reliability Engineering, or Platform Engineering roles for cloud-native production systems.
• Very strong Terraform (infrastructure-as-code) skills for building and maintaining cloud infrastructure at scale, covering reusable modules, state management, multi-environment patterns, and policy enforcement.
• Strong cloud platform engineering depth across compute, networking, access controls, serverless, API services, storage, monitoring, and secrets management.
• Strong CI/CD implementation experience using GitHub Actions or GitHub Workflows, including infrastructure and application delivery pipelines.
• Experience supporting Python-based services and API applications in production environments.
• Experience with containerized deployment workflows and container orchestration, including Kubernetes or equivalent platforms, and artifact lifecycle management (image scanning, promotion, versioning).
• Hands-on scripting and automation using Python and shell.
• Strong ability to work collaboratively across diverse groups of business and technical stakeholders.

Nice To Have / Preferred Skills And Tools

• Experience operating AI/ML platform infrastructure, including managed large language model services such as AWS Bedrock or Azure OpenAI, and cloud-hosted agent runtimes.
• Hands-on experience with AWS cloud services, including VPC, IAM roles and security groups, Lambda, DynamoDB, and ECS.
• Experience with inter-agent communication or tool orchestration patterns for agentic AI systems.
• Experience with observability and operational analytics for AI systems such as dashboards, distributed traces, custom agent telemetry, or AI-specific evaluation observability platforms.
• Experience with resiliency and chaos/fault-injection testing for cloud workloads.
• Experience with policy-as-code and security scanning for infrastructure and deployment pipelines.
• Familiarity with vector search and semantic search infrastructure supporting retrieval-augmented generation applications.
• Healthcare, pharmacy, or pharmacy benefits management platform experience and regulated data handling practices.

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.

Optum is a drug-free workplace. © 2026 Optum Global Solutions (Philippines) Inc. All rights reserved.