Requirements:

Bachelor's degree in Computer Science, similar technical field, or equivalent practical experience.
Experience in technical leadership and setting technical direction for engineering projects.
Experience in architecting, designing, and developing distributed systems.

Nice to haves:

Experience developing and implementing technical programs in security and/or AI engineering or product/platform design.
Leadership experience in the security, reliability and resilience space. Experience having impact over a large-scale of users.
Experience leading and implementing engineering projects at an executive level within multinational and distributed organizations.
Experience partnering and leading by influence, as well as working with stakeholders and collaborating across organizational boundaries.
Understanding of compute, networking, application stacks, and supporting product features, services, and technologies.

Create the reality of a stable, secure, and trustworthy integrated cloud AI platform for a diverse pool of customers and workloads worldwide.
Balance feature velocity with reliability, security, and cost efficiency.
Partner with a wide and diverse array of teams working in the Cloud AI, Security, and Sovereign Workloads space to set the technical direction for AI, trust, and security.
Challenge our approach and status quo to elevate our platform reliability, security, and resilience beyond our current capabilities.
Contribute to our most complex technical projects and externally visible product decisions, using your technical acumen, problem-solving abilities, and good judgment to help build scalable and future-proof Google systems.

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