Android Software Engineer, Quality Platform

Details

• Build AI-Native Tooling: Move beyond traditional automation by implementing AI-driven agents that optimize our CI/CD pipelines and provide intelligent feedback to developers.
• Enhance Developer Velocity: Identify and resolve systemic bottlenecks in the development lifecycle, allowing teams to move faster without compromising quality.
• Advocate for Quality by Design: Work directly with product teams to guide architectural decisions, ensuring that new features are modular and testable from the first line of code.
• Ship High-Scale Infrastructure: Own the development and maintenance of frameworks used by hundreds of engineers across Airbnb, ensuring they are performant, reliable, and easy to use.
• Hands-on Development: Write high-quality, performant Kotlin code to extend testing frameworks and build AI-powered developer tools, leveraging LLMs to accelerate development workflows
• Technical Ownership: Take ownership of key components of our Automated Quality Platform, ensuring operational excellence and high availability (24x7) of our testing infrastructure.
• Design & Review: Participate in deep-dive design reviews for new Android features, providing expert guidance on modularity and testability patterns.
• Applied AI: Implement LLM-based solutions for smart test orchestration, test case generation, and autonomous test discovery to reduce CI feedback loops.
• Cross-Functional Collaboration: Partner with Product and Mobile Infrastructure teams to align platform capabilities with the needs of the broader engineering org.
• Mentorship: Review code and provide technical guidance to peers, fostering a culture of commitment to craft and engineering rigor.
• Experience: 3+ years of professional Android development experience (or with a PhD) in a fast-paced, high-growth tech environment.
• Technical Mastery: Strong proficiency in Kotlin and the Android SDK. You have a solid understanding of modern Android architecture and the Gradle build lifecycle.
• Infrastructure Experience: Demonstrated expertise in building or maintaining test automation frameworks (e.g., Espresso, Compose Test) at scale.
• CI/CD & Tools: Familiarity with CI/CD orchestration and a passion for building tools that improve the developer experience.
• AI Curiosity: A strong interest or hands-on experience in leveraging AI/LLMs to solve engineering productivity or quality challenges.
• Problem Solving: Proven ability to navigate complex, ambiguous codebases and implement best-in-class solutions.
• Communication: Excellent communication skills with the ability to facilitate technical discussions across cross-functional teams.