info_outline X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA. Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C .
• Experience architecting, deploying, or managing large-scale cloud infrastructure or distributed systems.
• Experience managing incident response, mitigating failures, and configuring monitoring or alert systems for production environments.
• Experience building automation, internal tooling, or AI-driven solutions to replace manual operational work.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience using Google Cloud Platform (GCP) services, particularly GCE and their underlying resource needs.
• Experience defining and implementing new processes in complex organizational structures, coupled with excellent communication skills for presenting to and influencing senior leadership.
• Experience working alongside external partners or operating within highly regulated environments.
• Deep understanding of large-scale production infrastructure and capacity management tooling.
• Proven ability to lead through influence in a matrixed environment, successfully coordinating work across many different engineering teams.

About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Trusted Partner Cloud (TPC) is a program to address strict sovereignty requirements around the world by building local, isolated clouds operated by jurisdiction-specific partners. TPC is in the execution stage with hundreds of teams involved, and is Google Cloud's top priority. As a Tech Lead in TPC Operations, you will be a key technical leader driving the strategy and execution to ensure Google's Trusted Partner Cloud platforms operate reliably, efficiently, and sustainably at scale. You will work on ambiguous, cross-organizational challenges, pioneering innovative solutions in areas like multi-universe reliability, turn-up automation, and AI-Powered Operations to reduce toil and enhance partner autonomy.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: $262000 - $364000 (USD) 25% bonus target equity benefits Learn more about benefits at Google . Responsibilities

• Define and drive the multi-year technical roadmap to optimize Trusted Partner Cloud (TPC) operations, systematically reducing cognitive load, toil, and operational risks for both Google engineering teams and external partner operators.
• Develop and implement operational strategies that minimize correlated failures across isolated sovereign universes, ensuring that operational load scales sublinearly as new regions are launched.
• Lead the technical convergence and integration of turn-up graphs to streamline new region and service deployments, providing senior technical oversight for critical production and staging environments.
• Lead the design and adoption of AI/ML solutions-including in-universe agentic tooling and RAG-driven diagnostics-to shift operations from manual intervention to policy-supervised automation.
• Partner with VPs, engineering leads, and partner operator teams to establish clear roles, align on incident response protocols, and drive the adoption of sustainable operational models across complex organizational structures.