Middle Automation QA Engineer.

We are looking for a Middle Automation QA Engineer to become a part of a big and friendly team.

Back-end microservices, Web UI portal, mobile applications, VR applications, Data Analytics and Machine learning - we have various projects with the mentioned technologies and we need your professional input in there.

What We Offer:Long-term career stability with a competitive salary paid in USD.Conditions for steady career development.Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.Private medical insurance provided after successful completion of the probationary periodA well-equipped and cozy office supports comfort and productivity across all project stages.Welcoming atmosphere and a friendly corporate culture.

What we expect from you:At least 2 years of commercial experience as a QA automation engineer.Proficiency in a test automation-capable programming language (Python\JS\TS\C#…).Deep understanding of Agile methodology and software development principles.Experience in developing end-to-end UI and\or API tests.Experience in working with bug-tracking and test management systems.Experience with Git.English skills at the upper-intermediate or higher level.

Will be a plus:Performance testing skills.Advanced programming or scripting skills.Experience in building a commercial-grade automation framework from scratch.Experience with Docker.Experience with Jenkins or similar CI tools.Foundational understanding of AI and Large Language Models (LLMs), including their application in automated test generation and defect analysis.Proficiency in Prompt Engineering, specifically for creating test cases, generating synthetic test data, and refining automated scripts.Hands-on experience with AI-assisted coding tools and plugins, such as GitHub Copilot, Cursor, or Claude code, to accelerate development cycles.

What we expect from you:At least 2 years of commercial experience as a QA automation engineer.Proficiency in a test automation-capable programming language (Python\JS\TS\C#…).Deep understanding of Agile methodology and software development principles.Experience in developing end-to-end UI and\or API tests.Experience in working with bug-tracking and test management systems.Experience with Git.English skills at the upper-intermediate or higher level.

Will be a plus:Performance testing skills.Advanced programming or scripting skills.Experience in building a commercial-grade automation framework from scratch.Experience with Docker.Experience with Jenkins or similar CI tools.Foundational understanding of AI and Large Language Models (LLMs), including their application in automated test generation and defect analysis.Proficiency in Prompt Engineering, specifically for creating test cases, generating synthetic test data, and refining automated scripts.Hands-on experience with AI-assisted coding tools and plugins, such as GitHub Copilot, Cursor, or Claude code, to accelerate development cycles.