via Remote Rocketship
$120K - 200K a year
Building and maintaining a service-oriented, modular, observable, and efficient technology stack, collaborating with cross-functional teams, and developing integrations and risk mitigation strategies.
7+ years of industry experience in backend software engineering, proficiency in a major programming language (preferably Java/Kotlin/Python), experience with high-scale web applications, and strong collaboration skills.
Job Description: • 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: • 7+ years of relevant industry experience (Payments/Fintech) as a backend software engineer. • 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. • 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. • Familiarity with experimentation and machine learning techniques • 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 fraud/spam detection/mitigation in the payments domain is a huge plus, but not required. Benefits: • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
This job posting was last updated on 2/18/2026