Software Engineer, Payments

Airbnb is a global platform that connects hosts and guests, and they are seeking a Software Engineer for their Payments team. The role involves designing and building scalable systems to mitigate dispute and chargeback issues across the payments platform, working closely with cross-functional teams to enhance product features and risk management strategies.

Responsibilities:

• Building and maintaining a long-term technology stack with well defined APIs that is service-oriented, modular, granular, observable, and efficient
• Working closely with data scientists, product managers and other XFN partners to build business insights, develop product features and respond to fraud attacks and risk issues across the platform
• Building and maintaining integrations with third party vendors / payments networks & processors to empower our in house chargeback defense systems
• Developing and iterating on our dispute & chargeback mitigation and remediation strategies as risk scenarios/business requirements evolve
• Focusing on continuous monitoring and alerting to uplevel the quality and observability of our risk systems
• Collaborating with other engineering teams across Airbnb to advance our engineering process and technical foundation

Requirements:

• 4+ years of relevant industry experience (Payments/Fintech) as a backend software engineer
• Proficient in at least one major programming language (preferably Java/Kotlin/Python)
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms
• Passion for delivering products end-to-end, from ideation through planning and scoping to implementation and experimental A/B testing
• Rigor in high code quality, automated testing, and other engineering best practices
• Experience or desire to work collaboratively in cross-functional teams with product, data scientists, design and operations
• Outstanding communication and interpersonal skills and detail oriented
• Capable of making data driven decisions and articulating tradeoffs in any technical decisions
• Bachelor's and/or Master's degree, preferably in CS, or equivalent experience
• Experience in React (or any equivalent JS library) would be nice to have
• Familiarity with experimentation and machine learning techniques
• Experience in fraud/spam detection/mitigation in the payments domain is a huge plus, but not required