Technical Software Engineering Manager, Spatial Flexibility, Move Automation

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages.
• 3 years of experience managing people or teams.
• 3 years of experience leading projects.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
• Experience building automation, orchestration, or workflow management systems.
• Experience with distributed systems.
• Understanding of system design.

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 Spatial Flex organization's Move Automation team is dedicated to enhancing Capacity Management through efficient service moves. Our core mission is to develop automation that enables rapid, reliable, and toil-free service migrations for Google's production services. This approach aims to maximize fleet utilization and overall efficiency. Service moves involve the relocation of jobs and their dependencies from a source to a destination, thereby freeing up resources.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and drive the technical goal, architecture, and roadmap for the Move Automation team. Lead the design and evolution of scalable and reliable service migration systems, ensuring alignment with broader Capacity Management goals.
• Lead, mentor, and inspire a team of software engineers. Foster a culture of engineering excellence, innovation, and collaboration. Guide team members in their career development through coaching, feedback, and identifying growth opportunities.
• Oversee the team's execution, ensuring high-quality and timely delivery of complex projects. Balance technical contributions with effective projects and people management.
• Engage in technical details. Contribute to and review designs, architectural decisions, and code. Act as a technical tie-breaker and guide the team through technical issues.
• Instill a sense of ownership for the reliability, performance, and security of the systems the team builds and operates.