Site Reliability Engineer III

About the role

This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide outstanding foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It's our goal to always provide an engaging, relevant, and simple experience for our customers.

Responsibilities

• Operate and maintain Edge platform infrastructure to ensure 24x7x365 availability, reliability, and performance.
• Design and implement observability frameworks using tools such as Prometheus, Grafana, Jaeger, and Datadog.
• Collaborate with Platform Engineering and Edge Solution Delivery teams to ensure platform features are operable, maintainable, and supportable in production environments.
• Develop and maintain runbooks, playbooks, and automation scripts to streamline operations and reduce manual effort.
• Lead incident response, root cause analysis, and post-incident reviews to drive continuous improvement.
• Participate in capacity planning, performance tuning, and disaster recovery exercises.
• Implement and manage CI/CD pipelines and Infrastructure-as-Code (IaC) for operational tooling and automation.
• Architect and maintain self-healing and auto-scaling capabilities across Edge clusters.
• Partner with security teams to ensure compliance with enterprise standards and implement secure operational practices.
• Contribute to platform architecture discussions with a focus on operational readiness and supportability.
• Stay current with industry trends in SRE, edge computing, and distributed systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent experience.
• 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Operations.
• 2+ years of experience supporting Edge computing or hybrid cloud environments.
• Strong expertise in observability tools (Prometheus, Grafana, Jaeger, Datadog, ELK).
• Experience with container orchestration platforms (Kubernetes, GKE) and virtualization technologies.
• Proficiency in scripting and automation (Python, Bash, PowerShell).
• Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD) and IaC (Terraform).
• Solid understanding of cloud platforms (GCP, AWS) and distributed systems.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication and documentation skills.
• GCP or AWS certification preferred.
• Experience with Agile methodologies is a plus.