Научсофт

Middle Automation QA Engineer (Image Processing)

In short

This role involves developing and maintaining automated test frameworks and UAT/E2E/regression tests for desktop photo-processing software, with a focus on image-quality pipelines, camera/lens compatibility, and AI-based image enhancement across Windows and macOS on CPU, GPU, and NPU configurations. The company is an international software development and IT consulting firm with 37 years of experience serving global customers. It requires at least 3 years of Automation QA experience, desktop application testing on Windows/macOS, practical use of AI assistants like Claude, and English at B2 level or higher.

Location
Minsk, Belarus; onsite, remote, or hybrid work. Remote work is possible from any location.
Company
International software development and IT consulting company with 37 years of experience, developing long-term projects for global customers.
What you will do
•Develop and evolve test automation frameworks for desktop applications and image-quality pipelines.
•Build, maintain, and improve automated UAT, E2E, functional, regression, and exploratory tests within CI/CD processes.
•Convert manual test cases into automated scenarios and increase overall automation coverage.
•Validate AI-powered image-processing functionality, including output quality, performance, and compatibility.
•Test support for new camera and lens models across Windows and macOS products and different CPU, GPU, and NPU configurations.
•Investigate failures, analyze logs, review requirements, and collaborate with developers and international customer teams.
Requirements
•At least 3 years of professional experience in Automation QA.
•Experience testing desktop applications on Windows and macOS, with a good understanding of desktop application architecture.
•Experience developing and maintaining automated test scenarios and contributing to test automation frameworks.
•Knowledge of functional, regression, and end-to-end testing, requirements analysis, defect investigation, and log analysis.
•Practical experience using AI assistants, especially Claude, in engineering or QA work.
•English: B2 or higher with strong spoken communication skills.
Nice to have
•Experience in image processing, computer vision, or AI-based image enhancement.
•Practical experience with digital cameras and photo-processing software.
Culture & Benefits
•Professional development, training, and certification support.
•25 days of paid vacation.
•Medical insurance and full sick-leave payment.
•Foreign language courses and corporate development programs.
•Corporate events and bonuses for marriage or the birth of a child.

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