Job Description
The role develops the software that manages advanced hardware testbeds for AI infrastructure. Engineers work on Go and Python services to automate hardware lifecycles, from provisioning to fleet management. They use installers like Subiquity for OS installations and handle air-gapped environments. Databases such as CloudSQL track machine states, supporting design and troubleshooting roles.
Google operates globally, building AI and infrastructure at scale for customers including Cloud users and billions of users. The company delivers computing power for AI models, services, and platforms. Google involves teams in TPUs, Vertex AI, networking, and data centers. Ventures-backed establishments handle systems research and more.
Activities include contributing to business goals by defining architecture and roadmap. Engineers collaborate with leaders for migration and modernization strategies. Work involves influencing product direction with peers and partners. Partnerships with cross-functional orgs and external vendors occur frequently. Projects automate life cycles using tools like Go and Python.
The position offers $132,000 to $189,000 USD annually plus bonus, equity, and benefits. Locations vary based on role and site. Schedules may include collaboration with teams worldwide, though specific hours are not detailed. Benefits encompass comprehensive packages including health and wellness coverages.
Responsibilities
- Contribute significantly to the goal for the Hybrid and On-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives.
- Collaborate with product and go-to-market leaders to implement strategies for our migrate, modernize, and workload efforts
- Work with peer engineers and managers within Google teams and external partners to influence product and team direction
- Partner with internal cross-functional organizations and external vendors and partners
Requirements
- Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience
- 3 years of experience with systems automation, and with systems design and implementation
- 3 years of experience with technical infrastructure such as deployment, maintenance, troubleshooting
- 3 years of experience working with vendors or customers