Distinguished Engineer, Google Product Site Reliability

Google; Sunnyvale (CA); Hybrid; USD 364,000 - 505,000; Full time

Job summary

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 rely on Google Cloud to enable growth and solve critical business problems.

US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits. This role emphasizes defining long-term technical vision, leading AI-enabled tooling adoption, and

Qualifications

• 15 years of experience in software development.
• Experience with algorithms, data structures, complexity analysis, and software design.
• Experience architecting, developing, and troubleshooting distributed systems.
• Experience in concurrency, multithreading, and synchronization.

Responsibilities

• Define and own the long-term technical vision and strategy that drive efficiency, reliability, and scalability across Google's user-facing products and services.
• Work with executive stakeholders with a focus on Ads, Search, Geo, YouTube, and Platforms and Devices to understand, align, and improve reliability challenges and needs.
• Direct the development and safe adoption of AI-enabled tools to systemically reduce toil, up-level incident response, and detect user pain points.
• Help lead the transformation of SRE toward AI-first production practices.
• Identify classes of issues and methods to prioritize and address in a constrained environment, influencing teams to align and deliver.

Skills

15 years exp

Algorithms & data structures

Distributed systems

Concurrency & multi-threading

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

• 15 years of experience in software development.
• Experience with algorithms, data structures, complexity analysis, and software design.
• Experience architecting, developing, and troubleshooting distributed systems.
• Experience in concurrency, multithreading, and synchronization.

Preferred qualifications:

• Experience driving collaboration effectively across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals.
• Ability to understand the complex relationship between the organization and its environment, identify connections, adopt different perspectives, and quickly respond to changing circumstances in a strategic way.
• Ability to cultivate ideas across organizational boundaries that create strategic opportunities that are greater than what is possible within a single product area.
• Excellent problem-solving, negotiation, and organizational skills.
• Outstanding written and verbal communication skills that drive executional impact at scale.

About the job

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: $364000 - $505000 (USD) + 40% bonus target + equity + benefits.

Responsibilities

Learn more about benefits at Google .

• Define and own the long-term technical vision and strategy that drive efficiency, reliability, and scalability across Google's user-facing products and services.
• Work with executive stakeholders with a focus on Ads, Search, Geo, YouTube, and Platforms and Devices to understand, align, and improve reliability challenges and needs.
• Direct the development and safe adoption of AI-enabled tools to systemically reduce toil, up-level incident response, and detect user pain points.
• Help lead the transformation of SRE toward AI-first production practices.
• Identify classes of issues (e.g., change safety, failure domain isolation) and methods to prioritize and address in a constrained environment, influencing teams to align and deliver.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.