Senior Site Reliability 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.

You'll enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Lead the implementation and continuous improvement of Site Reliability Engineering (SRE) practices including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to improve system reliability and operational excellence
• Design, deploy, and support highly available, scalable, and resilient cloud-native platforms across AWS, Azure, and Kubernetes environments
• Build and maintain observability solutions utilizing Datadog, Splunk, Grafana, Open Telemetry, Prometheus, and related monitoring technologies to provide end-to-end visibility into platform and application health
• Develop operational dashboards, intelligent alerting, service health scorecards, and reliability metrics to improve incident detection and operational awareness
• Lead production incident response activities, root cause analysis (RCA), and post-incident remediation efforts to improve service stability and reduce recurrence
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and cloud automation technologies
• Build automation and self-healing capabilities to reduce operational toil, improve platform resilience, and accelerate incident resolution
• Partner with software engineering, architecture, security, and platform teams to improve production readiness, reliability, scalability, and performance
• Support and optimize Kubernetes-based container platforms and microservices running in production environments
• Design and implement CI/CD and Git Ops practices utilizing Git Hub Actions, ArgoCD, Azure Dev Ops, or equivalent deployment technologies
• Drive adoption of AI-enabled operational capabilities including anomaly detection, intelligent alerting, incident automation, and operational analytics
• Mentor engineers on SRE principles, observability, automation, operational excellence, and cloud-native best practices

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• 7+ years of experience in Site Reliability Engineering, Dev Ops, Platform Engineering, Cloud Engineering, or Software Engineering
• 4+ years of hands-on experience supporting cloud infrastructure in AWS, Azure, or GCP environments
• 3+ years of hands-on experience managing Kubernetes platforms including EKS, AKS, or GKE in production environments
• 3+ years of Infrastructure as Code (IaC) experience using Terraform or equivalent automation technologies
• 3+ years of hands-on experience with observability and monitoring platforms such as Datadog, Splunk, Dynatrace, Grafana, Prometheus, Open Telemetry, or similar solutions
• 3+ years of experience implementing and supporting monitoring, logging, distributed tracing, alerting, SLIs, SLOs, and Error Budget frameworks
• 3+ years of experience building and supporting CI/CD pipelines using Git Hub Actions, Azure Dev Ops, Jenkins, ArgoCD, or equivalent technologies
• 3+ years of experience with scripting and automation skills using Python, Bash, Power Shell, or similar languages
• Ability to participate in rotating on-call support schedules

• Experience supporting mission-critical production systems and leading incident response and root cause analysis activities
• Strong understanding of distributed systems, cloud-native architectures, networking, security, IAM, encryption, and reliability engineering principles
• Proven ability to collaborate effectively across engineering, platform, architecture, and security teams
• Experience implementing enterprise observability solutions using Datadog APM, Splunk Observability Cloud,…