Minimum qualifications:
- Bachelor's degree in Computer Science, similar field, or equivalent practical experience
- 15 years of experience in software engineering, building and working with systems in the technology organization
- Master's degree or PhD in Computer Science or similar field
- 15 years of experience with building enterprise grade and highly scalable platforms, on-premise infrastructure, and cloud technologies
- Experience with building and optimizing infrastructure for data and ML/AI workloads
- Ability to build vision, drive technical roadmap, and design with a broader engineering organization
- Strong communicator, highly collaborative, and relationship building skills
- Vigilant about technical trends, and quickly adapt to emerging technologies and apply to consumer or enterprise applications
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About the job
With Google Distributed Cloud (GDC), we are creating the industry's leading private and hybrid cloud offering that brings our customers Google Cloud's AI-led Services and Infrastructure on an on-premise platform that is simple, secure, and scalable.
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.
The US base salary range for this full-time position is $323,000-$465,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Define the long-term technical strategy, mentor a team of experts, and collaborate with leadership to ensure alignment between technology and business goals.
- Work on problems that span building and optimizing the infrastructure stack to serve emerging data, AI/ML as well as legacy enterprise workloads, driving convergence of different stacks, ensuring operational and production accuracy in design, development and operation processes, helping programs to improve software quality and engineering productivity, and helping scale the infrastructure and processes as we onboard more customers and existing customers deploy GDC more widely.