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Вакансия опубликована 10 дн. назад - шансы на ответ снижаются.

11 дней назад

Middle Automation QA Engineer (Image Processing)

Формат работы
remote (Global)/onsite/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Belarus
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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Описание вакансии

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TL;DR
Middle Automation QA Engineer (Image Processing): Developing and maintaining automated testing frameworks, UAT and E2E tests for professional desktop photo-processing software with an accent on image-quality pipelines, camera and lens compatibility, and AI-based image enhancement. Focus on validating complex Windows and macOS applications across CPU, GPU, and NPU environments, investigating failures, and using Claude to accelerate automation and debugging.

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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