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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
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.
Define strategy and roadmap to provide a predictable and reliable maintenance experience for fleet owners. Ensure the reliability, performance, and efficiency of Aristotle services in production.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Minimum qualifications
Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with large-scale distributed systems, Structured Query Language (SQL), and SQL pipelines.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field.
3 years of experience working in a complex, matrixed organization.
Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with large-scale distributed systems, Structured Query Language (SQL), and SQL pipelines.
