Software Engineer Manager II, Emerging On-prem AI Infrastructure

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience building cloud or systems-level infrastructure across the entire hardware and software stack.

Preferred qualifications:

• 5 years of experience in software engineering with a passion for building tools focused on infrastructure operations and architectural integrity.
• 3 years of experience managing engineering teams, with the ability to guide the development of sustainable systems.
• Experience in diagnostics and leading team efforts to solve technical issues.
• Knowledge in building and operating Compute Infrastructure, within large-scale cloud environments or hybrid/on-premises deployments.
• Knowledge of Service Level Objectives (SLOs), telemetry integration, and metrics measurement to enhance the operator experience.
• Ability to navigate ambiguity while delivering technical solutions.

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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

• Set the technical road map for operational tooling and repair automation, ensuring the team addresses supportability and diagnostic issues.
• Lead the hiring, on-boarding, and mentorship of the team of engineers, fostering growth and technical excellence.
• Manage Systems Development Engineers (SDEs) and Software Engineer (SWEs), balancing support with the development of systems.
• Implement and govern the success metrics across the operational plane, including support case managing and repair efficiency.
• Drive collaboration to uncover technical problems and build automation systems.