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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C , Java, Python, Kotlin or Go.
• 5 years of experience in a technical leadership role.
• 5 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.
• 5 years of experience in managing technical teams as a team lead or manager, preferably as a manager of distributed teams (multiple sites/locations).
• Experience managing engineering teams, including experience leading managers or tech leads within a large-scale cloud or infrastructure environment.
• Experience with building large-scale distributed systems, other cloud service infra and cluster management technologies.
• Experience with large-scale AI/ML workloads and a strong understanding of the AI/ML landscape.

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.

In this role, you will direct the strategy, design, and execution of Zone and Cluster Services managing Compute Engine resources at a global scale. Your team is responsible for critical orchestrator services that ensure an experience for obtaining and managing compute capacity, enabling workloads from standard cloud instances to massive clusters supporting advanced artificial intelligence models.
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 equity benefits

Learn more about benefits at Google .

Responsibilities

• Define the multi-year technical roadmap and architectural goal for Zone and Cluster Services managing Google Compute Engine (GCE) Resources. Drive innovations around AI Cluster Management, VM Core Services, and Instance Management.
• Lead initiatives to empower customers leveraging Tensor Processing Unit (TPUs) and Graphics Processing Unit (GPUs) at unprecedented scale with granular control over cluster configuration, scheduling, and management.
• Lead, mentor, and grow a high-performing distributed engineering team consisting of Staff Software Engineers, Software Engineering Managers, and Software Engineers across multiple geographic regions.
• Oversee system health, performance improvements, and critical initiatives such as Compute Disaster Recovery control plane automation to guarantee maximum uptime and recovery capabilities.
• Partner closely with Product Management, Capacity Planning, and other infrastructure teams to deliver reliable and efficient massive-scale AI and Infrastructure innovations.

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