Senior Cloud Engineer - AV Cloud Engineering

Description

We are hiring a Senior Cloud Engineer to join the AV Cloud Engineering team within the AV Core Infrastructure (ACI) organization at GM. You will be responsible for the execution and reliability of our unified, secure hybrid platform that powers all autonomous vehicle hosting and runtime environments. You are a fully qualified contributor capable of breaking down broad infrastructure challenges into implementation-ready initiatives with minimal supervision. You will treat the cloud as a "Product," ensuring that our GKE-based platform remains a high-performance accelerant for AV developer velocity.

Technical Domain Responsibilities:

• Architectural Execution: Implement and manage the lifecycle of Kubernetes (GKE) clusters across hybrid and multi-cloud environments, ensuring production safety through automated patching and upgrades.
• Platform Implementation: Develop and maintain self-service PaaS features that abstract infrastructure complexity, providing reliable and performant access to specialized hardware like GPUs.
• Connectivity & Traffic: Implement and optimize high-throughput ingress patterns and service mesh (Istio) configurations to support distributed AV data and ML workloads.
• Project Independence: Take ownership of complex cloud initiatives from design through deployment, identifying technical gaps and proactively implementing robust solutions.
• Operational Excellence: Eliminate "human duct tape" by replacing manual cloud-management tasks with declarative state-enforcement (Terraform/GitOps) and custom automation.
• Reliability & Observability: Define and monitor SLIs/SLOs for cloud services, ensuring the platform meets the availability targets required for Super Cruise validation.
• Peer Mentorship: Proactively share technical lessons learned and participate in rigorous code and architecture reviews to support a healthy, high-trust engineering culture.

• Required: Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.
• Required: Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters.
• Required: Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform.
• Required: Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks.
• Required: A "Growth-based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching.
• Required: Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions.
• Preferred: Experience with Service Mesh (Istio) and managing large-scale DNS/Traffic configurations in a global environment.
  
  Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale office three times per week, at minimum.
  
  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 $170,000 to $230,000. 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.