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'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.

Big Query SRE supports Dremel-based internal and external data analytics services. The team provides full engagement for core query engines and storage, with basic support for peripheral services. As a critical GCP pillar, we offer 24/7 tier 1 on-call support. Additionally, we are actively developing Generative AI solutions using Gemini models to automate outage detection, reduce operational overhead, and enhance overall service reliability.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead a team of Software/Systems Engineers on projects for users and be responsible for uptime.

• Own end-to-end availability and performance of key services and build automation to prevent problem recurrence. Automate response to all non-exceptional service conditions.

• Lead, mentor the team and establish credibility through quality technical execution.

• Manage on-call rotations across continents, using a follow-the-sun model.

• Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

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.

• 5 years of experience as a Site Reliability Engineer.

• 3 years of experience managing people or teams.

• 3 years of experience designing, analyzing, and troubleshooting distributed systems.

• 3 years of experience with stakeholder management.

Preferred qualifications

• Master's degree in Computer Science or Engineering.

• Experience building and managing a team of results oriented engineers who deliver on large-scale projects.

• Experience in problem-solving and analyzing global scale distributed systems.

• Experience in an engineering or operations role in distributed systems and large-scale environments.

• Experience in one or more of the following, such as C, C++, Java, Go, Python.