About the Role
We are building an AI-driven bio-signal (EEG-based) mobile product and are looking for a strong Mobile Automation QA Engineer to own and scale our automation strategy. This role is focused on building a stable, CI-integrated mobile automation framework while contributing to long-term AI validation maturity.
Responsibilities
- Mobile Automation Ownership
- Own, design, build, and scale mobile automation frameworks.
- Implement mobile automation using Appium and/or native frameworks such as XCUITest (iOS) and Espresso (Android).
- Hands-on experience with mobile automation framework setup including device capabilities, driver configuration, and execution on real devices or device farms.
- Automate critical user journeys, device pairing flows, and session workflows
- Integrate automated tests with CI/CD pipelines
- Maintain stable nightly regression and PR-level smoke suites
- Monitor and reduce flaky tests
- Device & Integration Validation
- Automate BLE-based device workflows
- Validate pairing, reconnection, session lifecycle, and firmware triggers
- Capture logs and debug automation failures effectively
- AI & Signal Validation Collaboration (Good to Have / Growth Area)
- Contribute to building test harnesses for validating AI behavior
- Work with recorded datasets to simulate real-time scenarios
- Help define measurable validation metrics
- (Experience in ML testing is not mandatory, but curiosity and system thinking is important.)
- Conduct functional, regression, integration, usability, and performance testing of AI-based mobile applications.
- Work closely with developers, ML engineers, and product managers to understand feature behavior and ensure comprehensive test coverage.
- Identify, isolate, and report defects with detailed logs, screenshots, and test data.
- Create and maintain test data sets for conversational and contextual validation scenarios.
- Analyze automation results and provide insights for continuous product quality improvement.
- Mentor and guide junior QA engineers to strengthen automation and testing best practices.
- Stay current with AI/NLP testing methodologies, automation tools, and emerging QA practices.
- Follow secure development, testing, and deployment guidelines to ensure data integrity and compliance.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
- 3+ years of hands-on experience in mobile automation (iOS and/or Android preferred).
- Experience integrating automation with CI/CD
- Strong debugging skills
- Proficiency in API testing using Postman, RestAssured, or similar tools.
- Familiarity with Git workflows
- Understanding of mobile app architecture
- Solid understanding of SDLC, STLC, Agile/Scrum methodologies.
- Experience with Git, JIRA, and CI/CD integration.
- Strong analytical and problem-solving skills with attention to edge cases and response accuracy.
- Experience in writing MySQL/SQL queries for validation and data-driven testing.
- Excellent communication and collaboration skills for working in cross-functional teams.
- Strong attention to detail and quality-driven mindset.
Good to have
- Experience testing BLE / IoT / wearable devices
- Experience in performance or battery testing
- Basic scripting knowledge (Python preferred)
- Exposure to AI/ML-based systems
- Experience working in fast-moving product teams