Mobile Automation Engineer – AI

About the Role

We are seeking a skilled Mobile Automation Engineer to design, build, and maintain automated testing frameworks for a global loyalty mobile application on Android, iOS, and Flutter. You will work within cross-functional agile squads, collaborating with developers, QA analysts, and release managers to ensure every release meets the highest quality bar.

This is an AI-augmented role you will actively use AI-assisted tools to accelerate test case generation, improve test coverage analysis, automate defect triage, and enhance debugging efficiency. You should be able to demonstrate how AI tools have improved your testing productivity in previous roles.

You will own the mobile automation strategy for your squad: building robust, scalable test suites that run in CI/CD pipelines, reducing manual regression effort, and providing fast, reliable quality signals to the delivery team.

Core Responsibilities

Design, develop, and maintain automated test suites for mobile applications across Android, iOS, and Flutter using WebDriverIO, Appium, Detox, and/or Espresso/XCUITest

Integrate automated tests into CI/CD pipelines (GitHub Actions) to provide continuous quality feedback on every pull request and release candidate

Collaborate with developers to define testability requirements, review test coverage, and establish quality gates

Build and maintain test data management strategies, mock services, and test environment configurations

Perform test case design, automation candidacy analysis, and test suite optimisation to maximise coverage with minimum execution time

Analyse test results, investigate flaky tests, and maintain test suite reliability above 95% pass-rate stability

Support release regression cycles, providing automated quality signals and go/no-go recommendations

Contribute to Zephyr test management: linking automated tests to test cases, maintaining traceability, and reporting on automation coverage metrics

AI Proficiency Requirements

Proven experience using AI-assisted tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor) as part of day-to-day testing workflows, including test case generation, script debugging, code review, or defect analysis

Ability to demonstrate measurable productivity improvements in testing through AI tool adoption

Experience evaluating AI-powered testing tools (e.g., Testim, Mabl, Applitools) and recommending adoption where appropriate

Willingness to explore AI-driven testing innovations: autonomous test agents, visual regression AI, intelligent test selection, and predictive defect analysis

Technical Requirements

Strong proficiency with mobile automation frameworks: WebDriverIO, Appium, Detox, Espresso, or XCUITest

Experience with at least two mobile platforms: Android and iOS (native or cross-platform testing)

Solid programming skills in JavaScript/TypeScript (WebDriverIO/Detox) or Java/Kotlin (Appium/Espresso)

Experience integrating automated tests into CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

Understanding of mobile-specific testing challenges: device fragmentation, OS version matrices, permissions, network conditions, and app lifecycle management

Familiarity with API testing tools (Postman, Newman) for end-to-end validation

Experience with test management tools (Zephyr Squad/Scale, TestRail) and defect tracking in Jira

Understanding of performance testing concepts for mobile: app launch time, memory profiling, network latency

Desirable Skills

Experience with visual regression testing tools (Applitools, Percy, BackstopJS)

Familiarity with security testing concepts and tools (Ostorlab, OWASP Mobile)

Experience with accessibility testing on mobile platforms (TalkBack, VoiceOver, Accessibility Scanner)

Understanding of multi-market or configuration-driven testing strategies (locale, market rules, feature flags)

Interest in building AI-powered QA pipelines: automated test generation from requirements, intelligent test selection, and autonomous defect classification

Experience with BDD frameworks (Cucumber, Gherkin) integrated with mobile automation

What We Offer

Opportunity to work on a globally recognised consumer brand across 12+ markets

An AI-first engineering culture that invests in cutting-edge tools and continuous learning

Collaborative, distributed team environment spanning multiple geographies

Competitive compensation package with performance-based progression

Access to AI training, certifications, conference attendance, and dedicated innovation time

Flexible working arrangements with a focus on outcomes over hours