Systems Development Engineer, AI, Infrastructure

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 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.

Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer - the next evolution of Google's AI accelerators hardware. A rare opportunity to join a "special project" team creating a novel solution for customers with sophisticated security/locality requirements.

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.

Responsibilities

• Contribute significantly to the strategic goal for the Hybrid and On-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives.
• Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations.
• Develop services in Go/Python to automate the entire life-cycle of our hardware test beds, from initial provisioning to ongoing fleet management.
• Build automation for OS installation and software deployment using custom installers like Subiquity.
• Solve unique engineering challenges associated with managing both Google-networked and fully air-gapped hardware environments.

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 2 years of experience with systems automation, and with systems design and implementation and technical infrastructure (e.g., deployment, maintenance, troubleshooting).
• Experience in one or more of the following: Python, Java, Go.

Preferred qualifications:

• Experience in site reliability engineering or IT production systems engineering.
• Experience contributing to product, engineering, or research teams in complex, cross-functional environments.
• Understanding of physical server, storage and network devices.
• Excellent communication skills, capable of explaining technical topics.