Senior Engineering Manager, Virtual Machine Runtime and Management

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Minimum qualifications:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience programming in C++.

* 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

* 5 years of experience in a people management or team leadership role.

* 5 years of experience in a technical leadership role.

* 4 years of experience managing engineering organizations across multi-team infrastructure dependencies.

Preferred qualifications:

* Master's degree or PhD in Engineering, Computer Science, or a related technical field.

* 5 years of experience working in a complex, matrixed organization.

* 4 years of experience architecting bare-metal hypervisor orchestration or "Compute-as-a-Service" platforms specifically designed for disconnected, edge, or air-gapped environments utilizing local image registries.

* 4 years of experience building, extending, or modifying core container orchestration platform internals, including custom Kubernetes controllers, custom resource definitions, and automated operator patterns.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Virtual Machine Runtime and Management team builds the core virtualization platform for the Distributed and Sovereign Cloud (DSC) ecosystem. This infrastructure layer powers the entire DSC product line including air-gapped, connected, software-only, and Gemini-integrated environments enabling customer workloads and layered services to run seamlessly across distributed, scalable cloud infrastructure.

In this role, you will lead the development of the foundational virtualization platform for our product line. You will be responsible for building and scaling a team delivering high quality, reliable, highly available, and highly performant infrastructure on which the full set of DSC services and customer workloads can rely.

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: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

* Manage and mentor a team of engineers and engineering managers, fostering a culture of innovation, collaboration, and continuous improvement.

* Define the technical roadmap and strategy for the virtualization layer of the DSC product line. Oversee the end-to-end development lifecycle, from concept and design to deployment and maintenance.

* Guide the team in integrating AI into their daily routines to maximize productivity.

* Work closely with DSC operators, Site Reliability Engineers, and other engineering teams to identify needs and deliver impactful solutions.

* Ensure the tools and applications are robust, scalable, and performant, meeting the high demands of a global infrastructure.