Systems Development Engineer, Google Cloud VMware Engine

Google • Sunnyvale, CA

9d

About The Position

The Google VMware Engine service enables customers running on-premises VMware workloads to seamlessly migrate to Google Cloud without having to rearchitect or refactor their applications. As part of this team, you will assist in launching and supporting the Google VMware Engine service and infrastructure across multiple regions and nodes, leveraging both Google native and Google Extension Data Centers. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Requirements

• Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
• 3 years of experience with systems automation, and with systems design and implementation.
• 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).

Nice To Haves

• 3 years of experience working with vendors or customers.

Responsibilities

• Utilize knowledge of the vSphere ecosystem, including host management, VM lifecycle, and vCenter architecture.
• Utilize knowledge of VMware vSAN (e.g., OSA and ESA architectures), and manage troubleshooting and performance tuning.
• Understand Unix/Linux operating system internals, including memory management, file systems, and networking stacks.
• Build scalable infrastructure tools.
• Optimize physical data center operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees