Middle Automation QA Engineer

Ориентир по рынку≈ 135 000 – 300 000 ₽наш грубый ориентир по 190 вакансиям этого грейда на рынке, без учёта специальности: у работодателя вилка не указана

🏢 ОфисMiddleПолная занятость

≈ 135 000 – 300 000 ₽наша приблизительная оценка

Стоит ли откликаться

Стоит откликнуться, но спросите про деньги

Сумму в объявлении не указали. Сколько платят за похожую работу, видно в разборе. Вакансия живая, задачи расписаны.

3 из 4 в норме

Зарплата не указана: ваша цель, нижняя граница и фраза для первого созвона

Вакансия на английскомПереведёт заголовок и описание вакансии на русский

Чем предстоит заниматься

Develop and evolve the test automation framework supporting existing testing strategies and image-quality pipelines

Develop, maintain, and improve automated UAT and E2E tests integrated into CI/CD processes

Maintain, improve, and develop internal QA tools that simplify and evolve testing processes

Convert existing manual test cases into automated tests

Contribute to shifting the testing pyramid toward significantly higher automation coverage and reduced manual testing

Automate functional, regression, and exploratory testing scenarios where applicable

Validate AI-powered image-processing functionality, including output quality, performance, and compatibility

Prepare and maintain tests for newly supported camera and lens models

Verify correct support of new cameras across desktop products

Analyze failures, investigate logs, and collaborate closely with developers on complex issues

Review requirements and contribute to improving overall testing processes

Actively use Claude and other AI-assisted tools to accelerate automation development, analysis, debugging, and documentation

3+ years of professional experience in Automation QA

Hands-on experience testing desktop applications

Experience working with applications on Windows and macOS

Good understanding of desktop application architecture

Experience developing and maintaining automated test scenarios

Experience working with test automation frameworks and contributing to their development

Understanding of software development practices and ability to work closely with developers

Experience with functional, regression, and end-to-end testing

Experience with requirements analysis, defect investigation, and log analysis

Ability to quickly understand technical documentation and internal engineering processes

Readiness to work with technically complex scenarios related to new camera and lens support

Practical experience using AI assistants, especially Claude, in engineering or QA activities

Proactive and open communication style

Comfortable working directly with an international customer team

English level B2 or higher, with strong spoken communication skills

Наши требования

Experience in Image Processing, Computer Vision, or AI-based image enhancement

Practical experience with digital cameras and photo-processing software

Мы предлагаем

Opportunity for professional self-realization and growth

25 days of paid vacation

Medical insurance and 100% payment for sick leave

Professional training and obtaining certificates at the company's expense

Foreign language courses and other corporate programs

A variety of corporate events

Bonuses in case of wedding or a child’s birth

The possibility of remote work from any location

Дополнительно

Nauchsoft, an international software development and IT consulting company, is looking for a full-time Lead Generation specialist. We have been in the IT business for 37 years and continue growing

We are looking for a Middle+ Automation QA Engineer to join a long-term international project in the Imaging & Photography Software domain

The team develops professional desktop software for photo processing and image enhancement, with a strong focus on computer vision, image processing, color science, RAW processing, and AI-based image enhancement

The products run on Windows and macOS and involve complex image-quality pipelines, support for a wide range of cameras and lenses, and functionality that needs to be validated across different hardware configurations, including CPU, GPU, and NPU environments

Technical Environment