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Job Details
Posted date: May 13, 2026
Location: Kirkland, WA
Level: Executive
Estimated salary: $367,000
Range: $307,000 - $427,000
Description
Serve as the technical authority and chief architect for the product, defining and driving the technical roadmap in alignment with the strategic outlook across all aspects of reliability, compliance, and security. Maintain cross-functional partnerships with peer engineering teams and external partner teams to ensure alignment and drive technical decisions. Define and run a reliable, performant, and secure software service, including defining the key service metrics. Lead the critical organizational AI efforts to address incident response, compliance, and feature development that goes beyond local team initiatives to driving systemic improvements across the product portfolio. Drive technical excellence and growth across the organization through effective technical mentoring, coaching, and setting the technical bar, emphasizing technical depth and a data-driven culture.Google Cloud Platform (GCP) provides external developers a set of services that allow them to run any or all of their applications on Google's infrastructure. The benefits include performance, scale, reliability, ease-of-use, and a pay-as-you-go cost model.
Google Sovereign Cloud enables enterprises to digitally transform their business with AI while being compliant to local regulations. Our customers can run modern apps at scale anywhere they choose to do so - public cloud, dedicated regions, and on distributed instances, even on completely air-gapped infrastructure as required.
As Principal Engineer, you will be a technical leader responsible for setting the technical direction, architecture, and drive adoption of AI driven compliance and engineering practices. This highly impactful role requires an exceptional blend of deep technical expertise in platform engineering, distributed systems, and AI, coupled with the ability to influence and drive adoption across multiple, globally distributed engineering teams. You will design and implement the next generation of Sovereign platforms that enable our data boundary, dedicated, and distributed cloud instances to easily meet the local security, compliance and regulatory needs, and operate high-assurance, regulated cloud services with maximum velocity and compliance.
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 $307,000-$427,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Qualifications
Minimum qualifications: Bachelor’s degree in Computer Science, related technical field or equivalent practical experience 15 years of experience developing and architecting large-scale technical platforms, having driven the technical direction for organizations impacting engineers. 15 years of experience building large-scale infrastructure platforms and large-scale distributed systems (including GPU systems). 15 years of experience in sovereign cloud environments (e.g., air-gapped environments). 15 years of experience in the IaaS domain, with experience managing and launching technical products and features.5 years of experience upgrading productivity with AI. (i.e., workflow and process automation, data analysis and insights, coding and technical development).
Preferred qualifications: Advanced degree in Computer Science or related technical field. 15 years of experience with advanced infrastructure platforms. Experience as a builder or operator of large-scale infrastructure platforms and distributed systems, with technical knowledge of public/private cloud, GPUs, virtualization, and containerization. Understanding of infrastructure technologies and trends, including public and private cloud, GPU, virtualization, containerization, and experience as a builder of large-scale infrastructure products. Excellent technical and organizational leadership skills with the ability to resolve deep systemic operational problems and drive alignment across large, cross-functional teams.
Extended Qualifications
Bachelor’s degree in Computer Science, related technical field or equivalent practical experience 15 years of experience developing and architecting large-scale technical platforms, having driven the technical direction for organizations impacting engineers. 15 years of experience building large-scale infrastructure platforms and large-scale distributed systems (including GPU systems). 15 years of experience in sovereign cloud environments (e.g., air-gapped environments). 15 years of experience in the IaaS domain, with experience managing and launching technical products and features.5 years of experience upgrading productivity with AI. (i.e., workflow and process automation, data analysis and insights, coding and technical development).