Software Engineer Manager, Platforms Infrastructure Engineering

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 3 years of experience with embedded operating systems.
• 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
• Experience with Data Analysis, Test Automation, and Failure Diagnosis.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience working in a changing organization.
• Experience with C++, Python, Diagnostics, Network Diagnostics.

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 Platforms Infrastructure Engineering (PIE) Core Services and Capacity Assurance team is responsible for delivering the tools and systems that manage the data center machine throughout its service lifetime. The team develops the diagnostic tests and repair strategies to ensure machines are healthy and ready to serve, including software installation, hardware health testing, and machine management. The team also validates machine health at the time of manufacture and deployment, ensuring all hardware is properly configured and defect-free.

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

• Manage the development of automation, processes, and diagnostics to enable the installation, configuration, testing, and management of new data center hardware.
• Develop new product test solutions, work with the hardware and software partner teams to ensure that the data center automated diagnosis and repair systems are working and integrated properly with the signals generated from test infrastructure and diagnostics.
• Develop software that executes in systems in parallel and develop the data insights required to analyze the result sets, and optimize repair strategies for fault coverage and fault isolation. 
• Ensure that new hardware platforms turn up smoothly from manufacturing to data centers.
• Travel up to 50% of the time as needed.