Senior Manager DevOps Engineering - SRE DevOps

Requisition Number: 2384190
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:

• Reliability Engineering & Operations
  • Design and support highly available, scalable, and resilient systems and infrastructure platforms
  • Establish and maintain service reliability practices, including monitoring, alerting, and incident response
  • Monitor system health and performance and implement proactive issue detection and resolution strategies
  • Participate in incident management, root cause analysis, and post-incident remediation activities
• DevOps & Automation
  • Design, implement, and maintain CI/CD pipelines and deployment automation solutions
  • Develop infrastructure-as-code solutions and automate provisioning, configuration, and operational workflows
  • Identify and implement opportunities to reduce manual processes through automation and tooling
• Observability & Tooling
  • Implement and manage observability solutions, including logging, metrics, tracing, and alerting platforms
  • Leverage enterprise tools (e.g., monitoring, logging, ITSM platforms) to provide visibility into system performance and operational health
  • Define and track service-level objectives (SLOs) and performance metrics
• AI-Enabled Operations (AIOps)
  • Apply AI/ML techniques to operational workflows, including anomaly detection, alert correlation, and root-cause analysis
  • Support implementation of AI-driven triage and remediation workflows using knowledge bases, runbooks, and operational data sources
  • Contribute to the development and use of AI-driven platforms for incident management, automation, and performance optimization
• Collaboration & Engineering Excellence
  • Partner with application development, platform engineering, and security teams to design and operate reliable solutions
  • Participate in system design, architecture reviews, and engineering best practices discussions
  • Maintain documentation, runbooks, and operational playbooks to support consistent service management
  • 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
• User Responsibilities:
  • 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
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent work experience
• Hands-on experience using LLMs, AI models, GitHub CoPilot and LLM with Context Engine
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Progressive experience in DevOps, Site Reliability Engineering, Infrastructure Engineering, or Cloud Operations roles
• Experience with CI/CD tools and practices, including pipeline design and deployment automation
• Experience with monitoring and observability tools for logging, metrics, alerting, and reporting
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes
• Understanding of DevSecOps practices and enterprise security standards
• Solid scripting or programming skills (e.g., Python, Bash, JavaScript, Go, or Java)

Preferred Qualifications:

• Experience with enterprise tooling such as Splunk, Dynatrace, ServiceNow, GitHub, Terraform, or equivalent platforms
• Experience implementing SRE concepts such as SLOs, error budgets, and reliability engineering practices
• Experience working with event-driven architectures, APIs, and microservices environments
• Familiarity with AI/ML concepts and tools applied to IT operations (AIOps), including automation and predictive analytics
• Exposure to data platforms, telemetry pipelines, and modern observability frameworks

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.