Senior Site Reliability Engineer

UnitedHealth Group•Schaumburg, IL

3d•$91,700 - $163,700•Remote

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field
7+ years of experience in Site Reliability Engineering, DevOps, 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, OpenTelemetry, 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 GitHub Actions, Azure DevOps, Jenkins, ArgoCD, or equivalent technologies
3+ years of experience with scripting and automation skills using Python, Bash, PowerShell, or similar languages
Ability to participate in rotating on-call support schedules

Nice To Haves

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, Dynatrace, Grafana, or OpenTelemetry
Experience with AIOps, intelligent alerting, anomaly detection, operational automation, and predictive analytics platforms
Experience supporting AI/ML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or data-intensive workloads in production environments
Experience with GitOps frameworks such as ArgoCD or Flux
Experience supporting multi-region and multi-cluster cloud deployments
Experience mentoring engineers and leading reliability improvements across multiple teams
Experience working within regulated environments such as Healthcare, HIPAA, SOC2, NIST, or FedRAMP
Industry certifications such as Certified Kubernetes Administrator (CKA), AWS Solutions Architect, Azure Solutions Architect Expert, HashiCorp Terraform Associate, or equivalent cloud certifications

Responsibilities

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, OpenTelemetry, 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 GitOps practices utilizing GitHub Actions, ArgoCD, Azure DevOps, 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