Apply for job here: https://www.google.com/about/careers/applications/jobs/results/142539680621961926-engineering-manager-site-reliability-engineering
Minimum qualifications:
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Experience working with one or more of the following: C, C++, Java, Go, or Python.
Preferred qualifications:
Experience in recruiting and managing a team of engineers on large scale projects.
Experience in problem-solving and analyzing global scale distributed systems.
Experience in algorithms, data structures, complexity analysis, and software design, or expertise in Unix/Linux systems, IP networking, performance, and application issues.
Knowledge of technical coding, networking, operating systems, and storage.
Excellent management and communication skills.
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 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 our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead a team of Software/Systems Engineers on projects.
Manage availability and performance of mission critical services and build automation to prevent problem recurrence.
Lead and establish credibility with the quality of the teams' 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 the services.
Minimum qualifications:
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Experience working with one or more of the following: C, C++, Java, Go, or Python.
Preferred qualifications:
Experience in recruiting and managing a team of engineers on large scale projects.
Experience in problem-solving and analyzing global scale distributed systems.
Experience in algorithms, data structures, complexity analysis, and software design, or expertise in Unix/Linux systems, IP networking, performance, and application issues.
Knowledge of technical coding, networking, operating systems, and storage.
Excellent management and communication skills.
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 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 our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead a team of Software/Systems Engineers on projects.
Manage availability and performance of mission critical services and build automation to prevent problem recurrence.
Lead and establish credibility with the quality of the teams' 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 the services.
