Airbnb Staff Software Engineer Payments Transaction Risk 

United States 

798515362

The Difference You Will Make:

As a Staff Engineer, you will:

• Design and lead the implementation of complex, scalable systems to detect and mitigate payment fraud effectively.
• Collaborate across teams, aligning architecture, dependencies, and shared goals with stakeholders in Product, Machine Learning, Finance, and Operations.
• Provide technical leadership, making high-impact decisions balancing technical trade-offs and business objectives.
• Mentor engineers at various levels, fostering technical growth and a culture of excellence within the team.
• Drive the technical roadmap, aligning immediate projects with long-term organizational goals and addressing technical debt thoughtfully.

A Typical Day:

• Lead the architecture and design of a scalable, distributed system for fraud detection and mitigation.
• Collaborate with Machine Learning engineers to integrate predictive models into real-time detection pipelines.
• Partner with Product and Design teams to improve anomaly detection workflows and enhance user verification processes.
• Work with Engineering teams across Airbnb to define and implement shared standards for fraud detection and mitigation systems.
• Mentor team members through design reviews, code walkthroughs, and knowledge-sharing sessions.

Why You’ll Love This Role

• Impact: Your work will protect Airbnb’s community from fraud, ensuring a safe and trusted platform for millions of users worldwide.
• Growth: You’ll work on complex technical challenges, mentor talented engineers, and contribute to the evolution of Airbnb’s Payments Risk systems.
• Collaboration: Join a passionate, diverse team and collaborate across disciplines to solve meaningful problems.

Your Expertise:

• 9+ years of software development experience, with at least 5 years in payments or financial technology domains.
• Strong understanding of payment fraud detection, chargebacks, and global payment processing flows (e.g., credit cards, bank transfers, e-wallets).
• Proven experience designing and deploying large-scale distributed systems with a focus on scalability, reliability, and maintainability.
• Proficiency in Java, Kotlin, and/or Scala, with familiarity in asynchronous programming models (e.g., events, callbacks, promises).
• Expertise in designing APIs, building RESTful services, and integrating message queuing and data streaming frameworks.
• Deep experience with relational databases, caching solutions, and service-oriented architecture.
• Strong leadership and communication skills, with experience mentoring engineers and leading cross-functional initiatives.
• Nice-to-Have Skills include:
  • Experience with Machine Learning applications in fraud detection.
  • Familiarity with workflow frameworks and anomaly detection systems.
  • Background in agile development and continuous delivery pipelines.