QA Automation Engineer (Mobile)
Digital Nomads, LLC
/job-details/5919
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We’re looking for an experienced QA Automation Engineer to join a team building next-generation audio products used by millions of users worldwide.
**What you will be working on**
- Define and execute the mobile test automation strategy; partner with architects and embedded teams to improve testing at system, subsystem, and integration levels (unit/component tests remain with partner dev teams)
- Own and evolve our Python, Pytest, and Appium framework; drive Android and iOS tests on real devices in our in-house farm with parallel execution
- Implement and maintain GitLab CI pipelines for the test suite, including runner sizing, reporting, retries, and flake management
- Integrate AI-assisted tooling into the workflow; pair daily with AI coding assistants to accelerate test authoring and framework development, and shape adoption across the QA team
- Analyse test results (Allure, HTML reports) and collaborate with developers to diagnose, fix, and retest defects, particularly for audio features (ANC, Transparency, EQ, hot words, voice control)
- Develop and maintain test specifications; execute automated and exploratory tests; drive continuous improvement
**What you will need**
- 5+ years in mobile app testing and/or development (Android and iOS)
- Strong Python skills with hands-on experience in pytest and Appium
- Experience with white-label/multi-brand apps; comfortable managing brand-specific configs, assets, and variants from a shared codebase, and structuring tests to scale across partner builds without duplication
- Experience running tests on real device farms or remote devices (e.g., BrowserStack, Sauce Labs, AWS Device Farm, or in-house) and integrating them into CI/CD (GitLab preferred)
- AI-augmented workflow: you actively use AI coding assistants for test development, debugging, and framework work, and can articulate where they help versus where they do not
- Applied AI in testing: experience or strong interest in LLMs/agents for test generation, flake triage, log analysis, exploratory testing, or self-healing locators
- Bonus: experience testing audio, Bluetooth, or embedded-adjacent consumer products (e.g., ANC, codecs, BLE pairing, firmware/app interaction)
**What we offer**
- Work from anywhere
- 25 vacation days
- Budget for education and professional development
**What you will be working on**
- Define and execute the mobile test automation strategy; partner with architects and embedded teams to improve testing at system, subsystem, and integration levels (unit/component tests remain with partner dev teams)
- Own and evolve our Python, Pytest, and Appium framework; drive Android and iOS tests on real devices in our in-house farm with parallel execution
- Implement and maintain GitLab CI pipelines for the test suite, including runner sizing, reporting, retries, and flake management
- Integrate AI-assisted tooling into the workflow; pair daily with AI coding assistants to accelerate test authoring and framework development, and shape adoption across the QA team
- Analyse test results (Allure, HTML reports) and collaborate with developers to diagnose, fix, and retest defects, particularly for audio features (ANC, Transparency, EQ, hot words, voice control)
- Develop and maintain test specifications; execute automated and exploratory tests; drive continuous improvement
**What you will need**
- 5+ years in mobile app testing and/or development (Android and iOS)
- Strong Python skills with hands-on experience in pytest and Appium
- Experience with white-label/multi-brand apps; comfortable managing brand-specific configs, assets, and variants from a shared codebase, and structuring tests to scale across partner builds without duplication
- Experience running tests on real device farms or remote devices (e.g., BrowserStack, Sauce Labs, AWS Device Farm, or in-house) and integrating them into CI/CD (GitLab preferred)
- AI-augmented workflow: you actively use AI coding assistants for test development, debugging, and framework work, and can articulate where they help versus where they do not
- Applied AI in testing: experience or strong interest in LLMs/agents for test generation, flake triage, log analysis, exploratory testing, or self-healing locators
- Bonus: experience testing audio, Bluetooth, or embedded-adjacent consumer products (e.g., ANC, codecs, BLE pairing, firmware/app interaction)
**What we offer**
- Work from anywhere
- 25 vacation days
- Budget for education and professional development
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