Staff Software Engineer, Spatial Flex, Move Automation

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 with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's or PhD degree in Computer Science or a related technical field.
• Experience in distributed systems with understanding of system design, data structures, and algorithms.
• Experience building automation, orchestration, or workflow management systems.
• Familiarity with Google's production environment and infrastructure.
• Ability to influence others through technical skills with excellent problem-solving and communication skills.

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's Move Automation team is dedicated to enhancing Capacity Management through efficient service moves. Our core mission is to develop automation that enables rapid, reliable, and toil-free service migrations for Google's production services. This approach aims to maximize fleet utilization and overall efficiency. Service moves involve the relocation of jobs and their dependencies from a source to a destination, thereby freeing up resources at the original location for alternative uses. We collaborate extensively with teams such as Resource Optima, Autocap, Server Platforms, and Rollouts to achieve our objectives.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Define and drive the technical goal, architecture, and long-term strategy for key areas within the Move Automation domain. Lead the design and evolution of highly scalable, reliable, and maintainable service migration systems, ensuring alignment with broader Capacity Management goals.
• Handle the most ambiguous and technically challenging problems in service move automation. Design and implement innovative solutions for distributed systems.
• Drive the execution of significant technical projects, from design through implementation, deployment, and operation. Ensure high-quality, timely delivery of features and system improvements.
• Engage in all aspects of software development. Contribute to and review designs, architectural decisions, and code. Implement core components and set examples for engineering excellence.
• Mentor and coach engineers on the team, helping to level up the team's technical capabilities in system design, coding, and best practices.