Distinguished Engineer, Google Product Site Reliability

Google•Sunnyvale, CA

3d•$364,000 - $505,000

About The Position

Google Cloud accelerates every organization’s digital transformation. We deliver enterprise-grade solutions leveraging Google's cutting-edge technology and tools that help developers build more sustainably. Customers in over 200 countries and territories trust Google Cloud as their partner for growth and to solve critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Requirements

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.

Nice To Haves

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.

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 (e.g., change safety, failure domain isolation) and methods to prioritize and address in a constrained environment, influencing teams to align and deliver.