Senior Mobile Automation Engineer

About the role

This role centres on building and maintaining a device-agnostic screen/page object framework that runs in parallel across real devices, emulators and simulators. It covers complex, location-aware ride-hailing journeys (such as rider onboarding, GPS and location mocking, driver matching, trip lifecycle, fare and surge calculation, in-app payments, cancellations and ratings) and integrates mobile, API and web suites into CI/CD pipelines.

Key responsibilities

• Build and maintain a device-agnostic screen/page object framework supporting parallel execution on real devices, emulators and simulators.
• Automate complex, location-aware ride-hailing journeys and validate mobile-specific conditions such as runtime permissions, push notifications, deep links, background/foreground transitions, network throttling, offline behaviour and interrupted sessions.
• Integrate mobile, API and web suites into CI/CD pipelines with scheduled and on-demand execution on cloud device farms (BrowserStack, Sauce Labs or AWS Device Farm).
• Define test data strategies and implement mocks or service virtualisation for third-party dependencies such as maps, payment gateways and SMS/OTP providers.
• Produce consolidated automation reporting (Allure/Extent), triage failures, isolate flaky tests and raise well-evidenced defects with logs, video and device traces.
• Author and maintain specification-driven test suites in a BDD framework (Cucumber/SpecFlow or Gauge), keeping feature files readable, reusable and aligned to business scenarios.
• Contribute to shift-left quality by reviewing user stories, shaping acceptance criteria and pairing with developers on testability hooks and stable accessibility identifiers.
• Monitor mobile application stability and performance during regression, including app launch time, crash/ANR rates, memory and network consumption.
• Mentor QA engineers on automation design patterns and the effective, responsible use of AI and MCP tooling in testing.

Required profile

• Bachelor's degree in Software Engineering, Computer Science or IT.
• 5+ years of experience in test automation.
• Appium experience automating iOS and Android applications (native and hybrid).
• Experience automating a complex, real-time consumer application comparable to Uber, covering multi-actor flows, map and location interactions and payment journeys.
• Solid understanding of a BDD framework (Cucumber, SpecFlow or equivalent) or Gauge, including step/implementation design and collaboration with business stakeholders.
• Strong programming in Java and/or TypeScript, with solid Git and CI/CD experience (Jenkins, GitHub Actions or GitLab CI).
• Experience running suites in parallel on cloud device labs and interpreting their reports.

Desirable

• At least 3 years of hands-on mobile automation experience.
• Designing and maintaining Appium-based suites on iOS and Android using XCUITest and UiAutomator2.
• Hands-on experience with Appium MCP for AI-assisted test authoring, element inspection and self-healing locators.
• ISTQB Foundation or another recognised mobile testing certification.
• Custom Appium plugins, drivers or framework extensions.
• Familiarity with mobile crash and performance analytics (Firebase Crashlytics, Datadog, New Relic).
• Gauge with Taiko or integrating Gauge/Cucumber reporting into CI dashboards.
• Mobile accessibility testing (VoiceOver, TalkBack) and awareness of data privacy when handling PII or payment data.