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Airbnb Logo Airbnb · IT - Software Development

Android Software Engineer, Quality Platform

Brazil · Job Posted March 26, 2026
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Job Description

The Quality Platform team is at the heart of Airbnb’s mission to provide a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs - we build the infrastructure that prevents them. Our team sits at the intersection of Mobile Infrastructure, Developer Experience, and Applied AI. We empower thousands of engineers across Airbnb to ship with confidence by building high-scale platforms, AI-driven automation, and fault-tolerant systems. You will join a group of high-impact engineers who value craft, operational excellence, and the challenge of navigating one of the world’s most complex mobile codebases.

Job Responsibility

  • 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

Requirements

  • 3+ years of professional Android development experience (or with a PhD) in a fast-paced, high-growth tech environment
  • Strong proficiency in Kotlin and the Android SDK
  • Solid understanding of modern Android architecture and the Gradle build lifecycle
  • Demonstrated expertise in building or maintaining test automation frameworks (e.g., Espresso, Compose Test) at scale
  • Familiarity with CI/CD orchestration and a passion for building tools that improve the developer experience
  • A strong interest or hands-on experience in leveraging AI/LLMs to solve engineering productivity or quality challenges
  • Proven ability to navigate complex, ambiguous codebases and implement best-in-class solutions
  • Excellent communication skills with the ability to facilitate technical discussions across cross-functional teams
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