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You will lead the Cloud Engineering team within AV Core Infrastructure (ACI) at GM to build an elastic compute platform dedicated to autonomous vehicle development and operation. Your goal is to deliver a developer-ready PaaS as a product, abstracting away infrastructure complexity so our engineers can iterate on their applications quickly and with minimal friction. You will lead a team that owns the cloud-native compute platform—including DNS and traffic engineering—which sits on the critical path of the Super Cruise engineering pipeline.
Job Responsibility:
Platform Evolution: Continuously develop and optimize the ACI PaaS layer to provide secure and resilient compute and storage capabilities for developers
Kubernetes Management: Own the operation and scaling of GKE-based IaaS/PaaS layers and on-prem Kubernetes clusters
Developer Velocity: Build and maintain rapid deployment pipelines and abstracted storage layers to accelerate autonomous software delivery
Traffic Engineering: Direct authoritative DNS zones and records to optimize traffic for distributed development workloads
Capacity Planning: Own the full capacity lifecycle for cloud resources, including planning, provisioning, and utilization tracking
Requirements:
Expert-level experience with Kubernetes (GKE preferred) and container orchestration at scale
Proven track record building "Platform as a Product" for large-scale engineering organizations
Deep understanding of cloud-native storage, service meshes (Istio), and traffic engineering
Proven leadership experience at the Senior Manager or Principal-level scope
Nice to have:
Experience with GPU-accelerated workloads and specialized substrate support in cloud environments