Responsibilities
Your key responsibilities:
- Perform all testing activities to improve product quality, work closely with the team: test estimation, test planning, test cases design, test execution, defects tracking, etc.
- Collect data and report testing status
- Shows creativity and initiative to improve product test coverage and effectiveness.
- Address the test needs in a methodical, detail-oriented manner with the help of robust analytical skills and problem-solving capacity
- Involve initiatives for supporting the product growth like competitor research, customer troubleshooting, etc.
- Participate in sprint planning and work closely with the Scrum team to analyze requirements and provide necessary QA/test recommendations
Qualifications
General requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Fluent in English communication, have experience in working directly with customers
- 2+ years of hands-on experience in software testing
- Able to self-learn and quickly adapt to new technologies
- Familiar with the Agile development methodologies
- Good collaboration skills with a proven ability to work seamlessly with both customers and team members
Technical requirements:
- Experience in software testing for web-based and mobile applications
- Good domain knowledge of the software development process, especially the software testing process
- Solid testing experiences (test approach, test plan, test techniques included black box, risk-based, exploratory, Non-UI testing, etc.)
- Methodical and detail-oriented, with solid analytical skills and problem-solving ability
- Strong dedication to quality and a positive, collaborative attitude and approach to testing
Nice to have:
- Experience in creating and running automated tests using testing frameworks like Katalon/ Selenium/ Robotium/ UiAutomator/ XCTest/ XCUiTest, etc.
- Hand-on experience in using test tools like TestNG/ Mocha/ Jasmine/ Nightwatch, etc.
- Experience using AI chat tools (ChatGPT, Claude, Gemini, etc.) for research, debugging, and learning
- Familiarity with at least one AI coding assistant (GitHub Copilot, Cursor, Claude Code, or similar)
- Ability to write clear, contextual prompts to generate code snippets, unit tests, or documentation
- Awareness of AI output limitations and responsible AI use (data privacy, handling of sensitive client data)
