Senior Site Reliability Engineer, AViD, YouTube Ads
Listed on 2026-07-09
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IT/Tech
Systems Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Senior Staff Site Reliability Engineer, AViD, You Tube Ads
Mountain View, CA, USA;
London, UK
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
London, UK
.
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.
- Experience leading technical strategy and influencing engineering direction across multiple teams.
- Experience leading cross-organizational technical programs or initiatives at scale.
- Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.
- Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' 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, 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.
To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.
In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities- Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.
- Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.
- Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.
- Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.
- Determine how our systems relate to each other and use a breadth of tools and approaches — including emerging AI capabilities — to solve a broad…
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