The role
From Google's own posting.
As part of Technical Infrastructure, Google’s Site Reliability Engineering (SRE) is an engineering discipline for building and running large-scale, massively distributed, fault-tolerant systems. Our Site Reliability Engineers (SREs) come from both software engineering and systems engineering backgrounds and specialize in designing, building and maintaining large-scale production services. 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. Along with a set of engineering approaches, SRE is a mindset of 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. SRE is responsible for the big picture, determining how our systems relate to each other, using 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, dynamic day-to-day work. 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 collaboration, thinking big and taking 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 to learn and grow.
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: $364000 - $505000 (USD) + 40% bonus target + equity + benefits
Learn more about benefits at Google .
Create, design & lead innovative programs, software, & analytics that drive improvements to the reliability, scalability, efficiency, & velocity of new platform introductions & existing hardware, out machine management systems, & our node software.
Work in close partnership with product leads across multiple areas, on technologies up & down Google's tall & deep stack to design & help build fast, reliable & durable production systems.
Manage reliability for a massive, globally distributed "fleet of fleets." This includes managing lifecycle operations (Day 0 turnup, Day 1 install, Day 2 repairs) in addition to software reliability.
Own, innovate and create programs, software solutions, process innovations, and analytics that drive improvements to the availability, scalability, latency, and efficiency of Google’s technical Infrastructure and Google Cloud products.
Architect observability frameworks that provide operational health signals back to Google or empower air-gapped operators without leaking sovereign data.
Minimum qualifications:
Bachelor’s degree in Computer Science, related technical field or equivalent practical experience.
20 years of experience with system design, algorithms, data structures, analysis, and software design.
15 years of experience managing a distributed team of engineers.
Experience growing and building teams.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
25 years of experience with system design, algorithms, data structures, analysis, and software design.
Experience leading software product development organizations which have shipped successful products to the enterprise market.
Experience designing, building, deploying or managing distributed systems of significant scale.
Bachelor’s degree in Computer Science, related technical field or equivalent practical experience.
20 years of experience with system design, algorithms, data structures, analysis, and software design.
15 years of experience managing a distributed team of engineers.
Experience growing and building teams.