As a Site Reliability Manager, you lead a team of highly talented individuals and are responsible for some of the largest products in the world. Although you have management experience, you are relentlessly technical, capable of performing the role of any engineer reporting to you. As with any engineer we hire, the ability to communicate well is crucial, and you manage multiple initiatives with multiple engineers potentially across multiple timezones in order to achieve Google’s reliability and efficiency goals.
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're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible.
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Lead a team or teams of software and systems engineers on projects used and enjoyed by billions of users worldwide and be directly responsible for Google's stellar uptime record.
Own end-to-end availability and performance of mission critical services and build automation to prevent problem recurrence; eventually automate response to all non-exceptional service conditions.
Lead by example, care for your team, and establish credibility with the quality of your and your team's 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.
Qualifications
Minimum qualifications:
BA/BS degree in Computer Science or related technical field, or equivalent practical experience.
Hands-on software development experience in one or more of C, C++, Java, Go or hands-on Unix/Linux systems with experience in Perl or Python.
Experience managing an engineering team on large-scale projects with technical deep-dives into code, networking, operating systems and/or storage.
Preferred qualifications:
Proficiency in algorithms, data structures and production troubleshooting.
Expertise in problem solving and analyzing global scale distributed systems.
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