Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.

Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.

With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.

Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome’s customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.



About The Position

We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide.

Job Description

• Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
• Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
• Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
• Design systems that make split-second decisions, balancing security accuracy with user experience.
• Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
• Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.