Staff Software Engineer, Resource Management

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures/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.
• Experience with resource management, performance analysis, modeling, or tuning of complex systems.
• Experience with machine learning infrastructure or Cloud technologies.

About the job

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 Spatial Flex organization builds Google-wide services and resource capacity management that is trustworthy and efficient. Our team is responsible for managing one of the planet's largest computing fleets, where the fundamental challenge is balancing immense demand for resources with rock-solid reliability and maximum efficiency.

Our solution is to engineer a fully autonomous, intelligent fleet driven by measurable service-level objectives, creating a self-regulating infrastructure based on data-driven decisions. This involves creating universal tools to hide the complexity of physical infrastructure, using advanced risk modeling to safely maximize fleet utilization, and building an end-to-end system that connects long-term planning directly to real-time execution.

As we deliver on this outlook, we also lay the groundwork for the next frontier: a truly agentic fleet management system.

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

• Architect the future of resource management by taking a leading role in designing and implementing a holistic and self-healing resource distribution ecosystem.
• Solve foundational systems problems at the intersection of large-scale distributed systems, risk modeling, and policy enforcement. This includes designing high-level resource abstractions that operate above the level of a single data center, enabling strong governance of resource entitlements, and creating a tiered, automated system for maintaining fleet health.
• Author proposals for foundational investments and define strategies for the broader organization, looking beyond the current roadmap to solve fleet-wide gaps in governance, risk mitigation, and service modeling.
• Collaborate with and influence partner teams across product areas to define requirements, establish consensus among divergent teams, and deliver a unified platform.
• Help develop other engineers, fostering a culture of technical excellence, strategic thinking, and innovation.