Software Engineering Manager

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.

As a Software Engineering Manager in the Google Distributed Cloud (GDC) and Sovereign Cloud organization, you will lead teams bringing Google’s infrastructure and AI to secure on-premises and edge environments. You will architect orchestration platforms that define the industry’s approach to distributed computing. Your teams will solve challenges across the hardware footprints, including accelerator fleets, to optimize performance and efficiency. By driving sovereign initiatives, you ensure advanced capabilities operate within complex regulated frameworks globally. We seek a leader to manage distributed engineering teams and deploy, large-scale projects at the intersection of global cloud infrastructure and modern security.

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.

Responsibilities

• Set team priorities supporting GDC and Sovereign Cloud goals, specifically for GenAI and air-gapped runtimes.
• Align direction and decision-making across distributed teams to ensure high-velocity platform execution.
• Scale and mentor an engineering organization specialized in container orchestration and AI infrastructure.
• Provide continuous coaching to help individuals navigate technical complexities and career growth within highly regulated environments.
• Architect the mid-term technical road map for GKE AI, optimizing for accelerator (GPU/TPU) efficiency and cost-per-token.
• Evolve systems to meet future infrastructure needs for autonomous, self-managing cloud operations in restricted settings.
• Design and vet complex system architectures, solving ambiguous problems balancing performance and sovereignty.
• Advocate the engineering best practices, style, testability, and efficiency to ensure, secure, and auditable deployments.

Benefits

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

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.
• 2 years of experience with container orchestration platforms (e.g., Kubernetes) and machine learning infrastructure, including hardware accelerators (e.g., GPUs, TPUs) or large-scale AI model serving platforms.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
• 3 years of experience building or managing large-scale AI/ML infrastructure, including hardware accelerators (GPUs/TPUs) or platforms for Generative AI inference.
• 3 years of experience with Sovereign Cloud architecture, air-gapped environments, or navigating complex regulatory compliance standards (e.g., FedRAMP, StateRAMP, or ITIL).
• 3 years of experience managing the development and deployment of Kubernetes-based solutions within hybrid, on-premises, or edge computing environments.

Equal Opportunity Statement

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .