Minimum qualifications:

• 15 years of experience in software development, or 10 years with an advanced degree in Computer Science, Mathematics, Statistics, or Engineering
  
• Experience in technical leadership and setting technical direction for engineering projects
  
• Experience architecting, designing, and developing distributed systems
  

Preferred qualifications:

• 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
  

About the job

The US base salary range for this full-time position is $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities

• 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 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.