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Senior Software Engineer, Payments Post Transaction Risk

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 5,001-10,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

109 days ago

Salary

$191K - $223K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglishJavaJavaScriptKotlinPythonReact

Job Description

Senior Software Engineer, Payments Post Transaction Risk

Airbnb

• 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.

Job 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.

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