Join the Logging & Tracing team and help guide the future of our systems that hold petabytes of data, server millions of queries per second, that are used by hundreds of millions of Twitter users.
Who We Are: Twitter's globally distributed, Real Time communications network generates trillions of events and petabytes of data per day. To handle this scale, As engineers on the Logging & Tracing team, we build world class logging & tracing infrastructure.
What You'll Do: You will be responsible for contributing to and helping guide the future of our systems that hold petabytes of data, serve millions of queries per second, and are used by hundreds of millions of Twitter users as they connect, explore, and interact with information and one another. You will develop highly-performant algorithms and data structures, solve complex distributed systems problems, and envision and innovate the next solutions that will bolster the foundation of logging & tracing infrastructure.
Operating our own systems at hyper growth levels is a rewarding challenge, it is what helps make us great. We are a tight knit and passionate group that loves working together, and we are looking for exceptional additions to our flock. You will empower dozens of engineering teams, hundreds of co-workers, and millions of users to dream of new insights and new possibilities.
Logging infrastructure handles tens of terabytes of data a day and over 60M events/minutes serving application, system, network, audit and security logs. We also run the distributed tracing infrastructure Zipkin that is an open source system developed by Twitter. We are in the process of redefining the future of these massive infrastructure systems and you will be part of that transformation.
Who You Are: You enjoy new challenges and are passionate about continually pushing the envelope of scale. You take satisfaction in building resilient, high-performance, and thoroughly tested systems that can power the most business-critical applications. You want to learn, work with, and contribute to cutting-edge open-source technologies.
5+ years experience with software engineering best practices (eg unit testing, code reviews, design documentation).
BS, MS, or PhD in Computer Science, or equivalent work experience.
Experience with Java, Scala, C, C++, or another modern systems language.
Experience with any logging or tracing systems is ideal.