Software Engineer Manager, Node Performance
Google· enterprise· Internet & Cloud Services· Jul 29, 2026 · 3mo agoPosted 90 days ago
Sunnyvale, CA, USA
In office
Full-time
Manager
$160K–$210K est.
8+ years exp
Before you apply
Ghost Signal:
Open 90 days.
Job description
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 Node Performance team bridges the gaps between hardware, Linux, compute infrastructure, and user tasks to deliver $XXXM/year of efficiency savings fleet-wide. We are tasked with building compute products in compute infrastructure and landing the next generation of huge efficiency gains. We routinely work in deeply ambiguous spaces, working across teams at Google to enable new performance and efficiency and better reliability.
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Design and analyze computer systems and their interactions with the kernel, hardware, cluster software, and compute infrastructure users.
• Partner with technical leaders within and outside of the compute infrastructure organization to build and align the team's roadmap.
• Drive the team's planning and strategy as well as owning execution against the roadmap.
• Drive high impact, cross-functional projects within and beyond the broader Google Compute Infrastructure (GCI) organization.
• Build and maintain a healthy team culture based on collaboration, innovation, and doing the right thing.
• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
Minimum qualifications:
• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience managing and influencing large groups of engineers and driving large-scale efforts to fruition.
• Experience with system software, distributed systems, cluster management, and complex multi-component software systems.
• Passion for reliability, efficiency, and scale as well as an understanding of key concepts in performance analysis and tuning.
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