Position: Test Automation Engineer (Python)
Company: Materialise
Category: QA Automation
Experience required: 3y
English level: upper

Required skills

— 3+ year experience in software testing automation
— Python knowledge
— Experience in API testing, automated testing
— Experience with bug tracking systems
— Functional and non-functional testing experience (e.g. regression, integration, security, performance, UAT,
smoke etc.)
— Understanding of SDLC
— Attention to details, sense of curiosity, willingness to take responsibility and show initiative
— Good knowledge of different testing methods and techniques
— English: at least intermediate

As a plus

— Experience in desktop testing
— Experience in medical, CAD, image processing software testing
— Experience with PIL/Pillow or alternatives
— Experience with Artifactory
— Experience with testing applications, created using QT

We offer

— Build local & international career;
— Contribute to the full cycle of product development;
— Be a part of future technologies;
— Use the Learning and development system;
— Learn & use English;

Responsibilities

— Perform manual acceptance/regression testing
— Perform bug registration, verification of resolved bugs
— Create test documentation in accordance with established procedures
​​— Perform manual regression testing, functional (according to functional TPs) and non-functional
(performance, exploratory)
— ​Maintaining and extending Python test framework
​— Participate in non-functional testing, where Python-related automation could be applicable (performance,
stability etc)
​— Handling/maintaining Python-related test automation process
— Performance and verification tests automation
— Verification tests automation
— Participate in planning/grooming sessions, provide estimations for delivery-scoped and tech tasks

Project description

Its software allows to process and edits 2D image data (CT, MRI, etc.) to construct 3D models with impressive accuracy, flexibility, and user-friendliness. The powerful segmentation tools allow to segment medical CT/MRI images, take measurements and engineer directly on your 3D model. From there you can export your 3D data to a wide range of output formats and engineering applications; such as FEA, design, surgical simulation, additive manufacturing and more.
More information you can find here: www.youtube.com/watch?v=kuUyQodLi4g