Senior Staff Software Engineer, GCE Fleet Maintenance

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.

The GCE Fleet Maintenance Team is responsible for improving the predictability and control customers have over planned maintenance disruptions to their Virtual Machines (VMs) in Google Compute Engine (GCE). Our team works across Google to build systems and processes that manage these disruptions, ensuring a smooth and efficient maintenance experience for all customers across a wide variety of workloads. We are committed to delivering innovative solutions like which provides customers with greater control over maintenance windows and minimize disruptions to critical workloads.

Your impact will be felt by millions of GCE users, ensuring they have a smooth and efficient maintenance experience for their critical workloads. By driving innovation and collaboration across Google, you will build a reliable and customer-centric platform.

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 force 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

• Identify, plan and deliver improvements to the maintenance experience for GCE customers. Develop team roadmap and strategy to meet organizational goals. Identify opportunities for innovation and improvement within the team and the organization.
• Maintain high awareness of customer experience; build data and analytics systems to drive decisions to build the maintenance experience for Google cloud customers.
• Advocate engineering best practices, establish and improve team processes for collaboration. Drive technical decision-making and ensure the team delivers high-quality, scalable, and maintainable software solutions. Identify and drive improvements to the team's operational posture and processes.
• Design, develop and deploy robust, scalable, and efficient software components for Google Cloud-based platforms.

Minimum

qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture and testing/launching software products.

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.
• 5 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.