Senior Software Engineer, Infrastructure, GDC VM Management
Google· enterprise· Internet & Cloud Services· Jul 10, 2026 · 4mo agoPosted 109 days ago
Sunnyvale, CA, USA
In office
Full-time
Senior
$145K–$185K est.
5+ years exp
Before you apply
Ghost Signal:
Open since July 10, 2026 — 109 days, and still accepting applications.
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Distributed Cloud (GDC) Virtual Machine (VM) team is responsible for supporting multiple VM products for both GDC Air gapped and Connected products. For air-gapped we provide an end-to-end, cloud-like experience for managing VMs in a secure private cloud (GDCH); for Connected (GDCE) we offer VMs for a more native Kubernetes product. Both VM products are built on kube-virt and provide well integrated storage, networking, compute features for private and google connected private cloud clusters.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Develop virtual machines for Google Distributed Cloud (GDC), including air-gapped, connected, and software-only products, utilizing a background in distributed systems and machine virtualization technologies.
• Debug testing platform issues to run secure, stable, and demanding customer workloads.
• Build and debug a virtual machine (VM) cloud product leveraging Kubernetes, QEMU, KubeVirt, KVM, Go, C, Unix shell scripting, and Linux internals, with exposure to low-level networking, compute, storage, and GPUs.
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in GoLang programming language.
• 5 years of experience with network architecture.
• Experience with distributed computing, distributed processing and systems infrastructure.
• Experience working with container technologies (e.g., Docker, Kubernetes) or Linux internals/kernel interfaces.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in GoLang programming language.
• 5 years of experience with network architecture.
• Experience with distributed computing, distributed processing and systems infrastructure.
• Experience working with container technologies (e.g., Docker, Kubernetes) or Linux internals/kernel interfaces.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with operating systems.
• Experience working with Virtualization, Virtual Machines, Hypervisors (QEMU/KVM).
• Solid understanding of networking, network performance, and network configuration.
• Strong C programming and debugging skills.
Application prep
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Keywords to mirror
kubernetesgogolangdocker
- Platform
- Effort
- medium