Senior Staff Engineer/Technical Lead, Trusted Partner Cloud

Job description

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. 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.