Software Engineer - Storage Infrastructure
Who We Are:
Twitter’s globally distributed, real-time communications network generates trillions of events and petabytes of data per day. Service Diagnostics team provides a comprehensive set of diagnostic tools/services for Twitter engineers to troubleshoot incidents. As engineers on this team, we build world class distributed services and storage infrastructure to handle billions of metrics per minute, petabytes of logs and traces.
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 every development team at Twitter. 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 diagnostics tools at Twitter. You will further push the scale of our services that already handle enormous amounts of data and traffic.
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, thousands of co-workers, and millions of users to dream of new insights and new possibilities.
A blog with more information about some of what our team works on can be found HERE
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 have a passion for making the life of your coworkers easy by building the most elegant diagnostic tools aggregating all kinds of metadata from the services. You want to learn, work with, and contribute to cutting-edge open-source technologies.
The ideal person has experience building highly scalable distributed services, time-series databases and actively makes contributions to open-source software.
- Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation).
- BS, MS, or PhD in Computer Science, or equivalent work experience.
- Experience with Java, Scala or another modern systems language.
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
After you apply, a recruiter may reach out to you for an introductory call.
If your background is a match for the role, you may phone interview with 1-2 people.
If you continue through the process, you will come onsite 1-2 times to interview with a total of 5-10 people.
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