Manager, Cloud Engineering

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

Job Description

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.

What You’ll Do

• 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.

Your Skills & Abilities (Required Qualifications)

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

What Will Give You a Competitive Edge (Preferred Qualifications)

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

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: is $233,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential

An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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