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