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Optum

Senior DevOps Engineer

Posted 3 Hours Ago
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In-Office
Hyderabad, Telangana
Senior level
In-Office
Hyderabad, Telangana
Senior level
Design, build, and operate cloud-native platforms and CI/CD pipelines (GitHub Actions) on Azure and AWS. Manage Kubernetes containerized workloads, implement IaC (Terraform), embed security/compliance into pipelines, and drive AI-enabled DevOps automation (LLMs, intelligent release validation, automated remediation). Partner with data/ML and security teams to operationalize inference workloads and ensure governance, observability, and developer self-service.
The summary above was generated by AI
Requisition Number: 2368225
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:
  • DevOps & Azure Platform Engineering (Core)
  • Design, build, and maintain CI/CD pipelines using GitHub Actions for Azure-based application deployments
  • Operate and enhance Kubernetes platforms running on AWS, supporting scalable and secure workloads
  • Design and manage AWS cloud infrastructure including compute, networking, identity, and security constructs
  • Implement and maintain Infrastructure as Code to ensure consistent and repeatable AWS environments
  • Improve deployment strategies, rollout safety, observability, and developer self-service capabilities
  • Drive automation to reduce manual effort and platform maintenance overhead
  • AI Builder & Intelligent Automation (Primary Focus)
  • Design and build AI-powered DevOps and platform workflows, such as:
  • AI-assisted CI/CD pipeline troubleshooting and failure analysis
  • Intelligent release validation and deployment risk analysis
  • Automated environment health checks and remediation
  • AI-enabled developer productivity tools integrated into workflows
  • Integrate LLMs or AI services into CI/CD, operational tooling, and cloud workflows
  • Partner with data and ML teams to operationalize AI/ML workloads on AWS and Kubernetes
  • Define guardrails and best practices for secure, responsible use of AI-driven automation
  • 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

Required Qualifications:
  • Security & Compliance Enablement
  • Solid hands-on experience with Azure/AWS in production environments
  • Experience in DevOps or platform engineering roles
  • Experience building and maintaining CI/CD pipelines at scale
  • Experience designing or integrating AI-enabled automation into engineering or delivery processes
  • Experience with Infrastructure as Code tools (e.g., Terraform)
  • Experience deploying or supporting AI/ML inference services on Azure/AWS
  • Hands-on experience with Kubernetes and containerised workloads on Azure/AWS
  • Exposure to site reliability engineering, observability, or production operations
  • Knowledge of GitOps, continuous testing, or advanced deployment strategies
  • Familiarity with LLMs, AI platforms, or ML workflows in enterprise settings
  • Solid scripting or programming skills used to automate cloud and DevOps workflows
  • Proven ability to work across engineering, data, and security teams with clear communication
  • Proven ability to embed security scans, policy enforcement, and compliance controls into CI/CD pipelines
  • Proven ability to support Azure/AWS-aligned secrets management, certificate rotation, and secure configuration practices
  • Proven ability to ensure AI-enabled workflows meet security, privacy, and governance requirements

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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