Middle/Senior Manual QA Engineer (mobile) (IRC307112)

Job Description

• At least 3 years of commercial experience in Quality Assurance;
• Strong understanding of QA theory, SDLC concepts, and testing methodologies;
• Hands-on experience in mobile testing (Android required; iOS is a plus);
• Good understanding of Android platform specifics, mobile UI/UX guidelines, and device fragmentation;
• Experience with Web testing and understanding of web standards is a strong plus;
• Proven experience in test strategy definition, test planning, test case design, and test execution;
• Experience using Bug Tracking and Test Case Management systems (e.g. Xray, Zephyr, Jira or similar);
• Solid experience in Functional, Regression, and End-to-End testing;
• Familiarity with REST API testing (Postman or similar tools) is a plus;
• Experience in Healthcare or other regulated domains is a strong plus;
• Experience working in Agile/Scrum environments;
• Active user of GenAI in daily development workflows;
• Flexible and adaptable to changing priorities and requirements;
• Strong communication skills with at least Upper-Intermediate English level (spoken and written).

Job Responsibilities

• Perform manual testing of Android mobile applications, ensuring high quality and usability;
• Participate in test planning, test case creation, and test execution for mobile and web features;
• Validate application behavior across different Android versions and devices;
• Execute regression and end-to-end testing to ensure system stability;
• Report, track, and verify defects using bug tracking systems;
• Collaborate closely with Android developers, product managers, and designers to clarify requirements and resolve issues;
• Contribute to improving QA processes and testing practices within the team.

Department/Project Description

We are redefining the standard of care in mental health. Our platform empowers clinicians by automating administrative burdens—such as note-taking and compliance auditing—using cutting-edge AI and real-time audio analysis. By bridging the gap between clinical sessions and actionable data, we allow providers to focus on what matters most: the patient.