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Senior Software Engineer (Payments Transaction Risk)

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Onsite

Senior Software Engineer (Payments Transaction Risk)

Airbnb

Senior Software Engineer (Payments Transaction Risk)

Skills

KotlinReactPythonJavaMachine Learning

8 days ago

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Important information


Contract type:

Permanent

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

17 October 2026

What they need


  • Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts
  • We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with world-class XFN teams to advance our mission. As part of the Payments Risk Engineering team, you will be in charge of designing and building a wide range of scalable systems and robust infrastructure to detect, mitigate and resolve risk issues across our entire payments platform, and to protect our communities and businesses from all malicious activities and fraudulent actors. You will be deeply involved in the technical details of building highly available and real-time risk services in close collaboration with product, data science and operations teams to understand and react to the ever evolving risk scenarios and to make Airbnb the world’s safest while easiest to use payments platform
  • 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 risk systems
  • Developing and iterating on our risk detection, mitigation and resolution 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

Benefits

  • Paid volunteer time
  • Health food and snacks
  • Generous parental and family leave
  • Learning and development
  • Annual travel and experiences credit- Familiarity with experimentation and machine learning techniques
  • Capable of making data driven decisions and articulating tradeoffs in any technical decisions
  • Experience in fraud/spam detection/mitigation in the payments domain is a huge plus, but not required
  • Experience or desire to work collaboratively in cross-functional teams with product, data scientists, design and operations
  • 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
  • 5+ years of relevant industry experience (Payments/Fintech) as a backend software engineer
  • Outstanding communication and interpersonal skills and detail oriented
  • Proficient in at least one major programming language (preferably Java/Kotlin/Python). Experience in React (or any equivalent JS library) would be nice to have
  • Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
  • Rigor in high code quality, automated testing, and other engineering best practices

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