Staff Engineer, Fraud & Abuse

This is a fully remote position, open to applicants in Wyoming.

📋 Description

• Develop detection systems from the ground up, encompassing rules engines, anomaly detection, and behavioral signals.

• Utilize TypeScript, Rust, and Python as required.

• Conduct hands-on investigations into fraud spikes and emerging abuse patterns, implementing necessary fixes.

• Collaborate with the payments team to integrate fraud controls within payment processes.

• Combat automated abuse such as bot-driven fake signups, evasion of rate limits, token farming, and misuse of API keys.

• Safeguard against account takeovers by detecting and creating friction for credential stuffing, session hijacking, and account-sharing rings.

• Adjust detection thresholds, assess impact, and reduce false positives.

⛳️ Requirements

• Over 10 years of software engineering experience, with a solid foundation in security principles.

• Proficient in TypeScript, Rust, and Python.

• Self-motivated and adept at navigating ambiguity.

• Practical approach to tooling; capable of recommending, assessing, and selecting a fraud and abuse stack.

• Possess an incident response mindset.

• Previous experience in payment fraud detection, chargeback management, or billing abuse.

• Knowledge of Cloudflare, WAF rules, bot management, or comparable edge-layer controls.

• Prior experience in developing trust & safety or fraud detection systems for consumer-facing platforms.

• Familiarity with machine learning-based anomaly detection or behavioral analytics.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Generous paid time off and holidays.

• Professional development opportunities and support for continuing education.