System Debug Engineer, Cloud AI Infrastructure

Google•Kirkland, WA

About The Position

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 that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. The Google Cloud Support team ensures customers maximize their investment. As a Systems Debug Engineer, you will be a trusted advisor driving hardware understanding and issue resolution. You will troubleshoot complex platform challenges, providing expert solutions that enable innovation. By representing the customer, you will collaborate with engineering and product teams to drive continuous improvement across our global cloud products and services. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Participate in on-call activities and manage domain systems, collaborating with responders to resolve issues.
Resolve customer issues and troubleshoot AI/ML workloads by developing effective diagnostic and investigation tools.
Partner with Product, Quality, and SRE teams to improve product quality and production standards.