Execute well-defined manual test cases under mentor guidance.
Assist in documenting test scenarios, expected results, and outcomes.
Log defects clearly and track updates in approved tools.
Support regression testing cycles for new releases.
Verify acceptance criteria for assigned user stories.
Collaborate with developers and QA engineers to reproduce issues.
Maintain test evidence and basic quality documentation.
Learn QA best practices, SDLC basics, and team workflows.
Use approved AI tools for low-risk testing support tasks under mentor guidance and validate outputs before use.

University degree already attained or students graduating within the next 12 months.
Excellent communication and teamwork skills in English.
Basic understanding of software testing concepts and quality principles.
Exposure to SDLC concepts and Agile collaboration.
Familiarity with manual testing practices.
Basic documentation and communication skills.
Analytical mindset and attention to detail.
Ability to collaborate effectively in a team environment.
Basic exposure to AI-assisted QA workflows and willingness to follow responsible AI usage practices.
Desirable qualifications: Exposure to Azure DevOps test management, Boards, or similar approved workflows used by the team.
Exposure to approved test automation tooling and frameworks used by the team.
Fundamentals of API testing.
Basic understanding of version control systems such as Git.
Prompting fundamentals for AI-assisted test case drafting and documentation support.

QA Engineer Intern

Key skills