Appdome’s mission is to protect every mobile app in the world and the people who use them.

We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.

Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome’s AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year.

Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.

About The Position

We are looking for a talented Software Engineer (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.

Requirements:

• BS.c in Computer Science / Computer Engineering
• At least 3 years of development experience in a development team of complex enterprise systems.
• At least 2 years of experience in C/C++ programming
• Experience in multi-threading principles and programming.
• Experience in Python and Git.
• Great team player who knows when and how to push independently when needed.
• Strong communication skills.

Advantages

• Experience in native mobile application development in Android or iOS.
• Experience Objective-C programming
• Experience in NDK and JNI for Android.
• Experience in reverse engineering in Android.
• Knowledge in Cyber Security and Networking.

Talent We Are Looking For

• Independent & Self-Driven – Comfortable owning a domain with high-impact decisions.
• Analytical – Passionate about accuracy, performance, and outsmarting adversaries.
• Curious – Self-driven learner eager to explore new fraud vectors and defense techniques independently.
• Adaptable – Thrives where the challenges are constantly changing.

Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.