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
