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

About the Role

We 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.