Position: Strong Junior QA Engineer (at least 6 months of experience in Back-End testing)
Company: DeepInspire
Category: QA
Experience required: 1y
English level: intermediate

Requirements:
Having commercial experience as QA engineer (at least 6 months of experience in Back-End testing);
Back-End and Front-End manual testing (Executing Regression, Smoke and Ad Hoc/Exploratory testing);
Understanding of JSON; experience with testing REST APIs;
Good experience with Postman/Swagger or similar;
Understanding of Testing Strategies and Test Types;
Experience in bug reporting;
Experience in creating test cases, checklists and documentation;
Understanding of Scrum process;
Fast learning and motivated to learn new things;
Be a good communicator, team-player;
Intermediate English or above (both written and verbal).


Will be a plus:
Experience with Test Management Tools (Zephyr, Testrail, Xray, Testlink etc);
Experience with Git;
Experience with JMeter;
Experience with SQL Server Management Studio.


We offer:
Get new professional knowledge and experience;
Positive and friendly team;
Competitive salary;
Compensation for sick leaves and vacations;
Work in a spacious and modern office;
Flexible work schedule;
Free English classes;
Team buildings and corporate events.


Responsibilities:
Back-End API testing;
Create and execute test cases, report and verify bugs to guarantee the quality of our products;
Keep all QA-related documentation up-to-date;
Quality control throughout the development cycle;
Analyzing and executing Test Cases;
Collaboration with development and management team.

About the project:

Client from UK, long-term project.
Speech recognition system that uses the latest machine learning techniques.
The project includes:
Review of existing data processing service that uses machine learning;
Look for possible ways of computational optimization and designing new solution architecture;
Developing and testing separate services that will be responsible for computational procedures;
Work together with data scientists and communicating on daily basis;
Technologies stack: C#/.Net, C++, Node.JS, AWS, SQL.