Position: Automation QA Engineer (Python)
Company: Global Logic
Category: QA Automation
Experience required: 2y
English level: intermediate

Job Description:
- 2+ years in automation software testing at commercial projects with cross-functional teams
- Knowledge and experience in creating tests using Python 
- Ability to take ownership over quality (test strategy, processes, documentation, etc)
- Excellent communication & reporting skills
- Readiness and passion to participate in automation testing
- Excellent analytical skills, being able to design and implement suitable tests
- Intermediate knowledge of English

 MUST HAVE SKILLS:
QA Automation
Automated REST API testing (using Postman or other tools)
Automated web application UI testing (using Selenium or other tools)

NICE TO HAVE SKILLS:
Python automated testing (using pytest or other frameworks)
Tests integration to CI / CD pipelines
Experience working with Kubernetes cluster & Docker
Experience working with Azure Devops
Experience working with microservices architecture

Job Responsibilities:
Design, write and execute test cases and test plans (incl. bug reports, summary reports, etc)
Actively participate in automation test cases creation (Python)
Configure environments for testing and development purposes
Work with a distributed team of developers to resolve issues
Encourage the use of appropriate industry-standard best practices and processes
Be part of a Scrum team
Coordinate work with client's QA lead & our manual QA engineer

Department/Project Description
We are building a top-notch Web application for one of the most innovative German hardware manufacturers. Our project is very dynamic, currently in the active phase of development with an experienced and actively learning team in place. A product should grow into a flexible tool-agnostic suite of capabilities to allow end-users from Silicon Valley to perform post-acquisition 3D visualization and analysis of CPUs and microchips images. The project is rich in scientific knowledge, high tech, machine learning & upcoming big data.