Senior Android Software Engineer, Quality Platform

🔥 3 minutes ago

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Build AI Agents for the Testing Lifecycle: Design and implement AI agents that support developers and quality engineers across the testing lifecycle. • Advance AI-Native Quality: Move beyond traditional automation by building systems that continuously adapt test coverage based on code changes and system behavior. • Improve Developer and QE Productivity: Identify bottlenecks in testing and CI/CD workflows, and solve them through intelligent automation that reduces manual effort and accelerates feedback loops. • Integrate AI into Engineering Workflows: Embed AI capabilities into real development environments, enabling both developers and quality engineers to receive contextual, actionable insights during development and testing. • Hands-on Development: Build end-to-end systems and tools (TypeScript, Swift, Kotlin, Java, Python) that will power Airbnb’s AI quality platform. • Applied AI: Develop AI-assisted capabilities such as context-aware agentic E2E validation on pull requests, agentic execution of business-critical flows as quality gates, agentic surface discovery and exploratory testing, and systems for test case generation, and coverage maintenance. • System Design: Participate in the design of scalable AI-driven systems operating within large-scale engineering environments. • Cross-Functional Collaboration: Work closely with Mobile, Infrastructure, Product Engineering, and Quality Engineering teams to integrate AI into real-world development workflows. • Experimentation & Iteration: Explore approaches such as prompt engineering and RAG (Retrieval-Augmented Generation) to improve system effectiveness and adaptability. • Mentorship: Provide technical guidance and help raise the bar for applying AI in engineering systems across the team.

🎯 Requirements

• 5+ years of software engineering experience in high-scale environments • Experience with testing frameworks, CI/CD pipelines, developer experience tooling, or quality engineering platforms. • Hands-on experience building applications using LLMs (prompting, APIs, RAG, evaluation, or similar) is a strong plus. • Experience building both client and server-side systems. You can work on modern web/mobile stacks(Swift, Kotlin) and tooling, as well as the supporting backend services (Java, Python). • Understanding of distributed systems, CI/CD workflows, and large-scale software architectures. • Ability to navigate ambiguity and design practical, scalable solutions. • Strong ability to collaborate across teams and explain complex concepts clearly.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities