Staff Site Reliability Engineer, AQI Data SRE

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Ads Quality Infrastructure (AQI) Data Site Reliability Engineering (SRE) keeps Search Ads and Ads on Google Experiences (SAGE/SPARK) data processing reliable, so those teams can deliver useful ads that create advertiser value. We own the core infrastructure behind the Google Ads business across Google-owned surfaces, including Google Search, Google Maps, and Feed Ads, and have a portion of Google business.

AQI SRE owns: serving, data extraction and copy, and the platforms that keep those systems fast and healthy. We partner with development teams to co-build and support this infrastructure.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next-generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Define the technical goal, architectural roadmap, and reliability strategy for AQI Data SRE across the SAGE/SPARK production stack.
• Partner with dev leadership to lead system design reviews, drive backend simplification and resource isolation, and ensure production readiness for flagship Ads launches.
• Architect and lead the implementation of critical infrastructure projects, including data-pipeline resilience, automated rollback/restart platforms, and consolidated observability.
• Mentor and grow engineers on the team, and push for software engineering excellence, AI-first tooling, and SRE best practices; drive the operational maturity handover that helps partner dev teams mature.
• Lead the response to complex production incidents, correlate production signals with customer and business impact, and drive high-impact post-incident architectural improvements and blameless postmortems and participate in a healthy tier 2 oncall rotation for core shared SAGE/SPARK infrastructure.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages.
• 3 years of experience leading projects.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.
• Experience with large-scale data processing.

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
• Experience in distributed, real-time systems and high-throughput data pipelines.
• Knowledge or experience with agentic flows/development and with AI-assisted production/reliability tooling.
• Excellent collaboration skills, with a track record of building trusted, blameless partnerships with development teams.
• Excellent non-abstract large systems design skills, with experience building scalable, self-service reliability and observability.
• Proven track record of driving cross-functional architectural alignment and influencing technical decisions across large engineering organizations.