Software Engineering Manager, Google Compute Engine

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 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 designing and implementing distributed systems.

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience in managing internal infrastructure, developer tools or distributed computing infrastructure.
• 3 years of experience working in a complex, matrixed organization.
• Experience working in customer-facing products/APIs.
• Ability to manage teams working on distributed and reliable systems.

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 Managed Infrastructure and Automation (MIAU) organization, as part of control plane within Google Compute Engine (GCE) empowers customers and internal Google Cloud Platform services through seamlessly reliable, cost-effective, and delightfully easy-to-use virtual machine management solutions. The team builds and maintains back-end components for provisioning and orchestrating virtual machines.

In this role, you will focus on delivering cutting-edge solutions that streamline large-scale training, scheduling, and execution on virtual machines. You will bring the latest advancements in the Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) accelerators directly to our customers, ensuring they have the tools they need to succeed.

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.

• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Manage team focused around the defined product area within Google Compute Engine.
• Build, grow and retain talent and continually find ways to inspire and challenge the engineering organization.
• Build cross-functional partnerships, and work closely with developers and product managers to identify productivity, production quality and coverage issues, and provide insight on improving both through scale and tooling.