Staff Software Engineer, Virtual Machines

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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.

• Provide technical leadership on high-impact projects.
  
• Influence and coach a distributed team of engineers.
  
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  
• Manage project priorities, deadlines, and deliverables.
  
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
  
• 2 years of experience working with Kubernetes.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 2 years of experience with Linux Kernel.