System Debug Engineer, Cloud AI Infrastructure

Job description

Minimum qualifications: - Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. - 5 years of experience with systems automation, and with systems design and implementation. - 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure. Preferred qualifications: - 5 years of experience working with vendors or customers. - Ability to work as a subject matter expert for stakeholders to resolve complex AI infrastructure obstacles. About the job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems...