Senior Mobile Test Automation Engineer

Bragi was founded in 2013 and launched the world's first Truly Wireless Earphones in 2015 (yes, a whole 12 months before the Airpods...)

Since then, we have evolved from a promising startup to a market-moving creator of innovative technology, opening the new category of Truly Wireless Earphones. Bragi transformed into a software enabler for consumer brands, focusing on scaling its technology after investing more than $90 million in software and AI.

Now we are a leader in the AI headphone space, known for our smart devices that integrate seamlessly into users' lives. With a focus on innovation and user experience, we are driving the evolution of wearable technology.

This is a remote role, but you are welcome to join us in the Munich office

• 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

• 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)