Software Engineer, Site Reliability Engineering
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, or read a career profile about why a software engineer chose to join SRE.
- Handle the complex problems of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design
- Developing and maintaining our data centers
- Building the next generation of Google platforms
- Help keep our networks up and running
- Ensure our users have the best and fastest experience possible
- Design, write and deliver software to improve the availability, scalability, latency, and efficiency of Google's services
- Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional service conditions
- Influence and create new designs, architectures, standards and methods for large-scale distributed systems
- Engage in service capacity planning and demand forecasting, software performance analysis and system tuning
- Conduct periodic on call duties using a follow-the-sun model
- BSc degree in Computer Science or related technical field, or equivalent practical experience
- Experience in one or more of the following: C, C++, Java, Python, Go
- Experience with algorithms, data structures, complexity analysis and software design
- Networking knowledge and understanding of network theory, such as different protocols (TCP/IP, UDP, ICMP, etc), MAC addresses, IP packets, DNS, OSI layers, and load balancing) is preferred
- Understanding of Unix/Linux systems from kernel to shell and beyond, taking in system libraries, file systems, and client-server protocols along the way is preferred
- Familiarity with running web services at scale is preferred
- Expertise in designing, analyzing and troubleshooting large-scale distributed systems is preferred
- Systematic problem solving approach, coupled with a strong sense of ownership and drive is preferred