• Є медстрахування
  • AdTech
  • JS
  • QA / QC
  • Python
  • Java
  • Linux
  • Sql
  • Nosql
  • Manual Testing
  • QA Automation
  • JavaScript
12.10.22

Про роботу

Requirements:

— 3+ years of QA experience

— Good understanding of STLC

— Experience organizing the QA process in new projects from scratch

— Manual and automated testing of web API and Web UI

— SQL/NoSQL database experience

— Advanced Linux user

— Good spoken and written English

Will be a plus:

— Java/Python/JavaScript experience

What we offer:

— Teams of people who love programming

— Complex technical challenges with big data/AI/high load

— Freedom to make your own engineering decisions and broad space for creativity

— Modern technology stack to work with

— Work remotely or from the office options on a flexible schedule

— Long-lasting projects

— Financial compensation for professional events and education

— Opportunity to choose the equipment you like

— Above-market compensation

Responsibilities:

You’ll be responsible for designing, organizing, and performing the QA process and procedure of the product, working with a team of BE and FE developers. Your responsibilities will include manual testing and test automation of the product API and web interface.

Project:

We build a corporate social network enabling big globally distributed teams to improve productivity by sharing successful problem-solving approaches with colleagues. Teams put successful cases description in global fuzzy-structured storage allowing their colleagues who deal with a similar challenge to search, reuse and evaluate the shared experience. The heart of the solution is a smart search engine enabling obtaining relevant content in an unstructured corporate data hub. Content rating, sharing, and comments systems introduce efficient collaborative mechanisms and improve experience reuse. We use a broad spectrum of tech for storing, processing, indexing, and searching unstructured data of various formats, like videos, GoogleDrive files, web pages, etc.

The technology stack:

Java 15, Spring, Docker, Kubernetes, ElasticSearch, MongoDB, AWS, JavaScript/TypeScript, React.js

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