Senior Software Engineer (Backend) - Fraud & Abuse Prevention Team

About the RoleWe are seeking a highly motivated and experienced Senior Software Engineer to join our Fraud and Abuse Prevention team. In this critical role, you will play a key part in safeguarding our platform and customers by developing and implementing cutting-edge solutions that proactively identify and mitigate fraudulent activities. You will work closely with cross-functional teams, including Legal, Security, Compliance, Data Science, and Customer Support, to ensure a secure and trustworthy experience for our users.Benefits of Joining Our Team:Make a real impact on the security and integrity of a globally recognized platform.Work alongside a talented and passionate team dedicated to innovation and excellence.Enjoy a competitive salary and benefits package, including opportunities for professional development and growth.If you are a highly motivated engineer with a passion for security and a desire to contribute to a mission-driven organization, we encourage you to apply!Responsibilities:Collaborate with stakeholders across the organization to gather requirements, analyze trends, and develop comprehensive solutions to combat fraud and abuse.Design, develop, and deploy robust, scalable systems that effectively detect and prevent fraudulent activities while minimizing friction for legitimate users.Provide technical leadership and mentorship to junior engineers, fostering a culture of collaboration and knowledge sharing.Conduct thorough code reviews and contribute to the development of comprehensive documentation and best practices.Participate in an on-call rotation to address production issues and ensure platform stability.Stay abreast of industry trends and emerging threats in the fraud and abuse prevention landscape.Minimum Requirements:Bachelor's degree in Computer Science or a related field; Master's degree preferred.6+ years of experience in software development, with a proven track record of designing and implementing complex systems.Strong proficiency in Java/J2EE, Go, Python, or Kotlin.Extensive experience with web services (REST or SOAP) and database technologies (SQL).Deep understanding of software development methodologies (Agile, Scrum) and best practices (TDD).Excellent communication and interpersonal skills, with the ability to effectively convey technical information to diverse audiences.Preferred Qualifications:Experience in cybersecurity, fraud prevention, and abuse pattern analysis.Familiarity with modern architectural frameworks and cloud platforms (AWS, GCP).Knowledge of machine learning techniques and their application in fraud detection.

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