About the job

Hope is not a strategy. Engineering solutions to design, build, and maintain efficient large-scale systems is a true strategy, and a good one.

Site Reliability Engineering (SRE) is an engineering discipline that 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 and uptime appropriate to users' needs and a fast rate of improvement while keeping an ever-watchful eye on capacity and performance.

SRE is also a mindset and a set of engineering approaches to running better production systems—we build our own creative engineering solutions to operations problems. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to solve a broad spectrum of problems. Practices such as limiting time spent on operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting and dynamic day-to-day work.

SRE's culture of diversity, 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 Site Reliability Engineering, written by Google SREs.

• Watch a recorded Hangout on Air to meet some of our SREs.

• Read a career profile about why a software engineer chose to join SRE.

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 $166,000-$244,000 + 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

• Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.

• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.

• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.

• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.

• Practice sustainable incident response and blameless postmortems.

Minimum qualifications

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.

• 2 years of experience leading projects and providing technical leadership.

Preferred qualifications

• Master's degree in Computer Science or Engineering.