Lead Security Engineer (Fraud)

As the Lead Security Engineer , you’ll be both a hands-on technical contributor and a security leader .

You will write and review code, design secure systems, and work closely with backend and platform engineers to ensure that our infrastructure, applications, and services are resilient against evolving threats.

You’ll lead a small, high-impact team responsible for embedding security into the entire SDLC — from code review and threat modeling to runtime monitoring and incident response.

Your mission: make security an integral part of our engineering DNA.

As the Lead Security Engineer , you’ll be both a hands-on technical contributor and a security leader .

You will write and review code, design secure systems, and work closely with backend and platform engineers to ensure that our infrastructure, applications, and services are resilient against evolving threats.

You’ll lead a small, high-impact team responsible for embedding security into the entire SDLC — from code review and threat modeling to runtime monitoring and incident response.

Your mission: make security an integral part of our engineering DNA.

• Extensive experience detecting and preventing online payment fraud , including fraudulent plan purchases, unauthorized payment method abuse, card-not-present fraud, and chargeback manipulation across high-volume digital transaction flows.
• Hands-on expertise building fraud detection systems for e-commerce and subscription billing environments , including rule-based and ML-assisted models that flag suspicious payment behavior, account-funded fraud, and promo/credit abuse in real time.
• Deep understanding of identity fraud vectors in digital-first environments , including synthetic identity creation, stolen credential abuse during onboarding, and fraudulent plan upgrades or device financing applications tied to payment exploitation.
• Write and review production code in Java, Kotlin, and Go , ensuring security best practices are applied across APIs, backend services, and infrastructure automation — with particular attention to payment processing flows and data integrity.
• Perform secure code reviews and guide developers on secure design patterns , embedding fraud-aware coding standards into engineering workflows from the ground up.
• Monitor and analyze application and network traffic using tools like Datadog and Cloudflare WAF to identify anomalies, payment abuse patterns, account takeover attempts, and emerging threats across cloud and application environments.