Software Engineer in Test

Company:
Di11731
Location:
New York, NY
Job Type:
Posted:
4/22/2014

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Job Description

Knewton is an education startup funded by high-profile investors including Peter Thiel and Reid Hoffman. Located in the heart of Manhattan in the Union Square area, Knewton is building the world's most powerful adaptive learning engine, with the goal of making personalized and engaging education available to all. Knewton has been recognized as a Technology Pioneer by the World Economic Forum in Davos and one of the top 25 best places to work by Crainrsquos New York Business. Bugs are a part of life. At most software companies, the only thing a bug will eat is a portion of the bottom line. At Knewton, bugs have the potential to eat and destroy things that are a lot more important than the bottom line. Like the learning process. We HATE BUGS. We're looking for an engineer with full-stack eperience to help us keep the bar high. You'll be joining an elite team that is building the world's most powerful Adaptive Learning Platform. Your role You will be responsible for building tools to test our platform. The scope of these tools will vary, from the very large (analyses of production data and logs to identify suboptimal student experiences), to the very small (writing regression suites to validate integrity of 3rd-party integration points). Your work will intersect with that of developers, designers, and data scientists to find and remedy engineering defects. You will also play a critical role in the design, review, and implementation of testing strategies. Requirements You have a track record of releasing tested, scalable, performant software as a developer You are meticulous in your attention to detail untested software hurts you EMOTIONALLY broken software hurts you PHYSICALLY You are familiar with the JVM and are fluent in at least one higher-level scripting language (Python, Ruby, etc.) You have experience with Linux, SQL databases, and distributed systems You have used Selenium before You are a hacker at heart, with wide and varied interests (I'll show you my github account if you show me yours...) You have extremely strong written communication skills and enjoy diving into technical conversation Perks include Competitive salary and stock options Flexible hours High-quality equipment (default setup a Mac laptop with a giant monitor) The opportunity to use cutting-edge machine learning and engineering techniques to transform and democratize education
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