Airbnb
Mid
Build AI-driven test infrastructure and CI/CD tooling for Airbnb's Android codebase at scale
This role sits at the intersection of Mobile Infrastructure, Developer Experience, and Applied AI - building the testing frameworks and LLM-powered tooling that keep thousands of engineers shipping confidently. The interview should probe hands-on Kotlin/Android infrastructure depth plus applied-AI tooling instincts, not app-feature work.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Kotlin and Android SDK depth, including Gradle build lifecycle
- Building/maintaining test automation frameworks at scale (Espresso, Compose Test)
- Applying LLMs to CI/CD: smart test orchestration, test generation, autonomous test discovery
- Influencing architecture reviews for modularity and testability
- Operating high-availability (24x7) developer infrastructure
- Navigating a large, complex, ambiguous mobile codebase
Common question themes
Describe a test automation framework you built or extended at scale - what broke and how did you fix it
How would you design an LLM-based system for autonomous test discovery or smart test orchestration
Tell me about a design review where you pushed back on an architecture for testability reasons
How do you identify and resolve systemic bottlenecks in a large team's development lifecycle
Walk through a CI/CD pipeline you improved and the impact on developer velocity
How do you ensure high availability of shared testing infrastructure that hundreds of engineers depend on
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