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GM's Motorsports Software team delivers the competitive edge that drives our drivers to the podium across NASCAR, IndyCar, IMSA, and Formula 1. We are the 'pit crew' for the engineering teams, ensuring the innovative cloud-based infrastructure, software development platforms, and data pipelines they rely on are robust, secure, and highly available. We are seeking a highly skilled Senior Azure Systems Engineer to design, implement, and maintain our cloud-based infrastructure. This role will ensure the reliability, security, and optimal performance of our Azure environments, supporting critical business operations.
Job Responsibility
Administer and troubleshoot the core developer ecosystem
Manage complex user lifecycles for both internal GM employees and external race team partners
Serve as the primary escalation point for 'stop-ship' blockers
Assist in managing the cloud checkbook
Deploy and maintain cloud resources using Infrastructure-as-Code (IaC)
Interface with corporate IT and external software vendors to resolve support tickets and procure necessary software/licenses
Requirements
Advanced proficiency with Terraform for managing cloud resources
Deep implementation knowledge of Entra ID (Azure AD)
Expert-level proficiency in PowerShell and *nix shell scripting
Practical experience designing and securing complex network topologies
Experience managing organization-level settings in GitHub or similar DevOps platforms
Operational experience with Azure Kubernetes Service (AKS)
Ability to troubleshoot OS-level issues in both Linux and Windows environments
Strong communication and collaboration skills
Nice to have
Bachelor's degree in Computer Science, Information Technology, or a related field
Relevant Microsoft Azure certifications
Passion for Motorsports and working in a high-pace environment
Proven ability to analyze cloud spend, implement budget controls, and execute cost-saving strategies
Experience hosting and debugging network license servers for specialized engineering applications
Practical experience supporting the full ML lifecycle
Ability to administer and troubleshoot the Microsoft 365 environment