Cloud Platform Lead for Scalable Kubernetes PaaS

General Motors; Sunnyvale (CA); On-site; USD 233,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

GM employee discounts

Paid vacation

Job summary

General Motors’ Vehicle Autonomy division seeks a Cloud Engineering leader to build an elastic compute platform for autonomous vehicle development and operation. You will lead a team delivering a platform-as-a-product, abstracting infrastructure for rapid engineering iteration and developer velocity.

You will own Kubernetes-based operations at scale (GKE), cloud-native storage, Istio service mesh, and traffic engineering, while guiding platform strategy, capacity planning, and a high-performing,

Qualifications

• Expert-level Kubernetes (GKE) and container orchestration at scale.
• Proven track record building "Platform as a Product" for large-scale engineering organizations.
• Deep understanding of cloud-native storage, Istio, and traffic engineering.
• Proven leadership experience at the Manager or Principal level.

Responsibilities

• 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 12,000+ namespaces across 150+ clusters 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.

Skills

Kubernetes at scale

Platform as a Product

Cloud-native storage

Istio service mesh

Leadership (Manager/Principal)

Tools

GKE

Job description

General Motors’ Vehicle Autonomy division seeks a Cloud Engineering leader to build an elastic compute platform for autonomous vehicle development and operation. You will lead a team delivering a platform-as-a-product, abstracting infrastructure for rapid engineering iteration and developer velocity.

You will own Kubernetes-based operations at scale (GKE), cloud-native storage, Istio service mesh, and traffic engineering, while guiding platform strategy, capacity planning, and a high-performing,