Сучасна диджитал-освіта для дітей — безоплатне заняття в GoITeens ×
• 70% Senior technical staff; • HQ in Silicon Valley, offices in Ukraine, Poland, Romania, and Bolivia; • Worked from anywhere long before the pandemic; • Startup engineering culture, the latest technologies.
20 вересня 2019

Data Specialist\QA Trainee (вакансія неактивна)

Харків

Необхідні навички

●Good theoretical knowledge of the software development life cycle
●Good theoretical knowledge of software testing
●Upper-Intermediate English level
●Knowledgeable about popular web browsers (Internet Explorer, Firefox, Chrome, Safari, etc.)
●Familiarity with major operating systems (Windows, Mac OSX, Linux, Unix) and mobile systems (iOS and Android)

Буде плюсом

●Practical software testing experience
●Understanding and practical experience with web and mobile applications
●Experience in performing test run activities

Пропонуємо

Why work with us?
● Life at Waverley means collaborating with dedicated professionals, passionate about technology
● Our people demonstrate outstanding engineering culture through constant learning and knowledge-sharing
● We value Responsible Freedom, which means we evaluate the results and have flexibility in workstyle or locations

We offer:
● A chance to contribute to the cutting edge of Silicon Valley software development
● Possibility to work in a startup-like atmosphere, in a new and growing team
● Modern office, comfortable work environment, the best tools
● Competitive compensation
● Friendly inspiring atmosphere

Обов’язки

●Perform Data Analysis
●Bugs analysis
●Collaborate with the team both in US and UA
●Weekly meetings with the customer and the team

Про проєкт

The project is a platform that listens to omnichannel feedback from the users about issues they may be encountering with any product. The real-time translation tools monitor product quality across every global channel and locale, instantly translating feedback from the users into English. The machine learning tools analyze all the aggregated and translated data and identify potential bugs in the product. Once the data has been collected, translated and analyzed, it is sorted into custom categories and is displayed on a real-time dashboard

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