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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Site Reliability Engineer - **Company:** Optum, Inc - **Location:** Schaumburg, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Octopus Deploy, Windows PowerShell, Reliability Engineering, Cloud Services, Prometheus, Software Engineering, Datadog, Data Logging, Cloud Platform System, Large Language Models, Grafana, Reliability of Systems, Generative AI, Infrastructure as Code (IaC), Containerization, Kubernetes, Information Technology, Hashicorp, Terraform, Splunk, AIOps, Dynatrace, Jenkins, Microservices - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9a1830ef2a37b276 ## About the Role * 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, * 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 * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy ## Description * 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 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.