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.
DevOps / Site Reliability Engineering (SRE) Engineer - AI & Reliability Tooling.
AI related skills are required. The DevOps / Site Reliability Engineering (SRE) Engineer is responsible for designing, engineering, and operating reliable, scalable, and secure platform solutions that support business-critical systems and applications. This role focuses on improving system stability, operational efficiency, and service reliability through advanced monitoring, automation, and engineering practices.
The position integrates DevOps and SRE disciplines with modern observability platforms, infrastructure automation, and AI-enabled operational capabilities, including intelligent monitoring, root-cause analysis, and automated remediation workflows.
This role contributes to ensuring platform performance, availability, and scalability while supporting incident response, continuous improvement, and modernization initiatives aligned with enterprise technology standards.
Primary Responsibilities:
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Reliability Engineering & Operations
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Design and support highly available, scalable, and resilient systems and infrastructure platforms
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Establish and maintain service reliability practices, including monitoring, alerting, and incident response
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Monitor system health and performance and implement proactive issue detection and resolution strategies
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Participate in incident management, root cause analysis, and post-incident remediation activities
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DevOps & Automation
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Design, implement, and maintain CI/CD pipelines and deployment automation solutions
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Develop infrastructure-as-code solutions and automate provisioning, configuration, and operational workflows
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Identify and implement opportunities to reduce manual processes through automation and tooling
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Observability & Tooling
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Implement and manage observability solutions, including logging, metrics, tracing, and alerting platforms
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Leverage enterprise tools (e.g., monitoring, logging, ITSM platforms) to provide visibility into system performance and operational health
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Define and track service-level objectives (SLOs) and performance metrics
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AI-Enabled Operations (AIOps)
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Apply AI/ML techniques to operational workflows, including anomaly detection, alert correlation, and root-cause analysis
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Support implementation of AI-driven triage and remediation workflows using knowledge bases, runbooks, and operational data sources
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Contribute to the development and use of AI-driven platforms for incident management, automation, and performance optimization
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Collaboration & Engineering Excellence
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Partner with application development, platform engineering, and security teams to design and operate reliable solutions
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Participate in system design, architecture reviews, and engineering best practices discussions
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Maintain documentation, runbooks, and operational playbooks to support consistent service management
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Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
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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
User Responsibilities:
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Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation
Required Qualifications:
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Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent work experience
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Hands-on experience using LLMs, AI models, GitHub CoPilot and LLM with Context Engine
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Progressive experience in DevOps, Site Reliability Engineering, Infrastructure Engineering, or Cloud Operations roles
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Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
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Experience with CI/CD tools and practices, including pipeline design and deployment automation
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Experience with monitoring and observability tools for logging, metrics, alerting, and reporting
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Knowledge of containerization and orchestration technologies such as Docker and Kubernetes
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Solid scripting or programming skills (e.g., Python, Bash, JavaScript, Go, or Java)
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Understanding of DevSecOps practices and enterprise security standards
Preferred Qualifications:
Core Competencies:
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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