[Hiring] Senior Site Reliability Engineer @UnitedHealth Group

Role Description

To support this mission, OSIT has initiated a multi‑year modernization program aimed at updating and enhancing enterprise technology systems in accordance with modern design standards. 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, 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.

Qualifications

• 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.
• United States citizenship is required for this position.
• Must be able to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top-Secret security clearance.

Preferred Qualifications

• 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.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.