Software Engineering Manager, Rust and Go

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience building SDKs.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 2 years of experience in a people management or team leadership role.
• Experience with the languages used in the SDK: Java, Go, Python, Node.js, Rust, C++, C#, Ruby, PHP.

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 with Cloud APIs.
• Experience with Cloud Identity and AuthN/AuthZ.

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 Cloud SDK team is responsible for the libraries in the Cloud SDK, and the gCloud CLI. We produce libraries in 9 languages to provide access for the 150+ GCP APIs. We use code generation from API definitions to produce most of the SDK, but also support and share responsibility for thick clients for certain APIs.

SDK is the programmatic front door for GCP, with virtually every major customer making significant use of our libraries. We also work closely with our API producer partners, and the OnePlatform serving infrastructure, in order to support new API features and new platform features in the SDK.

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.

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

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  
• Produce and provide updates to client libraries in Go and Rust for the 150+ GCP APIs. 
  
• Evolve the client libraries to meet expectations for the Go and Rust language ecosystems.
  
• Evolve the product, especially how the SDKs would be used with AI tools, resulting in increased user productivity and a better developer experience.

Evolve the product, especially how the SDKs would be used with AI tools, resulting in increased user productivity and a better developer experience.