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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 [https://landing.google.com/sre/book.html] or read a career profile [https://careers.google.com/stories/site-reliability-engineering-profile-google/] 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 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.
problems, including AI-powered automation and agentic workflows for production operations.
adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.
work through automation and AI-driven operational improvements.
approaches — including emerging AI capabilities — to solve a broad spectrum of problems.
equivalent practical experience.
languages (e.g., Python, C, C++, Java, JavaScript).
building relationships, and importing and exporting ideas to achieve broad organizational goals.
across multiple teams.
scale.
operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.
environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.
GoogleBengaluru, Karnataka, India
Pay not posted
Posted 9 days ago
checked 4 days agoGoogleBengaluru, Karnataka, India
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checked 4 days agoGoogleHyderabad, Telangana, India
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Posted 26 days ago
checked 4 days agoGoogleHyderabad, Telangana, India
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Source: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
Posted 19 days ago
GoogleBengaluru, Karnataka, India
Pay not posted
Posted 11 days ago
checked 4 days agoGoogleBengaluru, Karnataka, India
Pay not posted
Posted 12 days ago
checked 4 days agoSee total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.
This base pay is above the median for staff infrastructure, platform and SRE jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.