Engineering Manager, Data Residency and Fast Compliance

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience in designing and developing large-scale distributed systems.

• 5 years of experience in Cloud building or operating large-scale, managed services.

• 3 years of experience in a people management managing software engineering reports.

• 2 years of experience building Generative AI agents.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.

• 3 years of experience working in a complex, matrixed organization.

• Experience with compliance and security.

About the job:

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As the Manager of the Data Residency team, you will drive the strategy for Google Cloud Platform (GCP’s) data location governance, a critical pillar of Google Cloud's compliance guarantees. Collaborating across Cloud, TI, and Core, you will deliver preventative and monitoring solutions to ensure continuous compliance. You will contribute directly to FastCompliance, our next-generation self-service platform, leveraging generative AI (including chat and code generation) to advocate shift-left initiatives and streamline on-boarding. We are looking for a collaborative leader familiar with Google infrastructure who can apply generative AI to deliver stable, predictable outcomes alongside partners Google-wide.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

• Lead, mentor, and scale a high-performing team of 8 engineers, setting the technical direction and fostering a collaborative culture focused on data residency and compliance.

• Oversee the architecture and optimization of high-throughput batch pipelines capable of scanning hundreds of billions of objects daily, ensuring maximum coverage and violation blocking with a minimal resource footprint.

• Drive the integration of generative AI into the software development lifecycle (including design reviews, code reviews, and code generation) to proactively catch compliance issues early.

• Own the end-to-end automation, policy verification, and governance of GCP regional and multi-regional endpoints, utilizing generative AI to streamline service turn-up.

• Design generalized, resilient architectural solutions that simplify and accelerate compliance onboarding for the GCP producer teams, successfully balancing standard frameworks with service-specific exceptions.