Middle Automation QA Engineer (Python)

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:

• Platforms:

Windows, macOS

• Application Development:

C / C\+\+

• Automation \& Internal Tools:

Python

• Additional:

Perl, Bash

• Domain:

Image Processing, Computer Vision, RAW processing, AI-based image enhancement

• CI/CD \& Tooling:

Git, Bamboo, Jira, Zephyr

• AI Tools:

Claude

• Infrastructure:

Linux, Nginx, Docker

Responsibilities:

• 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.

Required Skills \& Experience

• 3\+ years of professional experience in Automation QA (Python).
• 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.

Nice to Have:

• Experience in

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

.

• Practical experience with

digital cameras and photo-processing software

.

We offer:

• 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.