Trainee Automation QA Engineer.

Responsibilities: Learn to create and maintain automated test scripts under the guidance of experienced QA engineers

Assist in executing automated and manual test cases

Collaborate with QA and development teams to understand application functionality and testing requirements

Participate in analyzing test results and reporting defects

Help maintain test documentation and test data

Gradually participate in integrating automated tests into CI/CD pipelines

Support 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 period

A 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 principles

Willingness to learn automation testing tools and best practices

Good analytical thinking and attention to detail

English level Upper Intermediate or higher

Basic familiarity with bug-tracking systems and version control systems (e.g. Jira, Git) is a plus

Will be a plus: Basic knowledge or hands-on practice with automation frameworks such as Selenium WebDriver, Playwright, or Appium

Understanding of CI/CD concepts (theoretical knowledge is sufficient)

Experience from courses, internships, pet projects, or university assignments

Experience working or studying in a team environment

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.