Trainee Automation QA engineer

Responsibilities:Learn to create and maintain automated test scripts under the guidance of experienced QA engineersAssist in executing automated and manual test casesCollaborate with QA and development teams to understand application functionality and testing requirementsParticipate in analyzing test results and reporting defectsHelp maintain test documentation and test dataGradually participate in integrating automated tests into CI/CD pipelinesSupport the QA team in improving test coverage and test processes

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:Basic knowledge of at least one programming language (Python, JavaScript, or C#) at an introductory level (courses, self-study, or pet projects are enough)Basic understanding of software testing fundamentals (manual and automated testing concepts)General understanding of software development lifecycle and Agile principlesWillingness to learn automation testing tools and best practicesGood analytical thinking and attention to detailEnglish level Upper Intermediate or higherBasic familiarity with bug-tracking systems and version control systems (e.g.

Jira, Git) is a plusWill be a plus:Basic knowledge or hands-on practice with automation frameworks such as Selenium WebDriver, Playwright, or AppiumUnderstanding of CI/CD concepts (theoretical knowledge is sufficient)Experience from courses, internships, pet projects, or university assignmentsExperience working or studying in a team environmentFoundational 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.