Manager, Cloud Engineering

General Motors•Austin, TX

1d•$233,000 - $300,000

About The Position

The Role: You will lead the Cloud Engineering team within Vehicle Autonomy 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 Vehicle Autonomy engineering pipeline.

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 Manager or Principal-level scope.

Nice To Haves

Experience with GPU-accelerated workloads and specialized substrate support in cloud environments.

Responsibilities

Continuously develop and optimize the ACI PaaS layer to provide secure and resilient compute and storage capabilities for developers.
Own the operation and scaling of 12,000+ namespaces across 150+ clusters of GKE-based IaaS/PaaS layers and on-prem Kubernetes clusters.
Build and maintain rapid deployment pipelines and abstracted storage layers to accelerate autonomous software delivery.
Direct authoritative DNS zones and records to optimize traffic for distributed development workloads.
Own the full capacity lifecycle for cloud resources, including planning, provisioning, and utilization tracking.