We are looking for a highly skilled and detail-oriented Software QA Engineer with excellent English communication to join our growing QA team. In this role, you'll play a key part in ensuring the quality, stability, and performance of our world-class geotechnical software. You'll collaborate with development and product teams throughout the entire lifecycle, from requirement analysis to release, and contribute to both manual and automated testing initiatives, including our next-generation intelligent automation framework.
Responsibilities:
Review requirements, specifications, and technical design documents to provide timely and constructive QA feedback.
Develop and execute comprehensive test plans, test cases, and test scripts across functional, regression, integration, and system testing.
Design, implement, and maintain automation scripts and frameworks using Python to improve coverage, efficiency, and scalability.
Validate software functionality, performance, and usability across our suite of desktop applications.
Collaborate closely with
developers and product managers to clarify requirements, reproduce issues, and verify fixes.
Track and manage defects using Azure DevOps, ensuring clear documentation and timely resolution.
Participate in test planning, estimation, and release readiness discussions.
Continuously improve QA processes, automation strategy, and testing methodologies.
Stay informed about emerging trends and technologies in software quality assurance and automation.
Qualifications:
Bachelor's degree in Computer Science,
Software Engineering, or a related field or equivalent practical experience
Fluency in English is a must
2+ years of software testing experience, preferably for desktop or engineering software
Strong knowledge of QA methodologies, tools, and best practices
Experience creating detailed test plans, test cases, and bug reports
Hands-on experience with Python for automation scripting
Familiarity with test management and bug tracking systems (e.g., Azure DevOps, Jira)
Strong problem-solving skills, analytical thinking, and attention to detail
Excellent written and verbal communication skills
Ability to work independently and collaboratively in a cross-functional team
Preferred experiences:
Experience with desktop UI automation or custom Python-based automation frameworks
Familiarity with AI-assisted testing or intelligent automation approaches
Proficiency in Azure DevOps, Git, and CI/CD environments
Understanding of Agile/Scrum methodologies
Knowledge of web technologies (HTML, CSS, JavaScript) is an asset
Background or interest in engineering is a plus