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.
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.
About the Role We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities
* Design and develop core components of fraud detection systems from early prototyping through production-ready releases.
* Build scalable backend services and distributed systems that process data at scale.
* Work with large-scale datasets and collaborate with data teams to create actionable signals and features.
* Write high-performance, production-quality code in C and C++ optimized for reliability and performance.
* Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.
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.
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.
About the Role We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities
* Design and develop core components of fraud detection systems from early prototyping through production-ready releases.
* Build scalable backend services and distributed systems that process data at scale.
* Work with large-scale datasets and collaborate with data teams to create actionable signals and features.
* Write high-performance, production-quality code in C and C++ optimized for reliability and performance.
* Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.
Requirements:
* B.Sc. in Computer Science, Software Engineering, or equivalent.
* At least 2 years of experience developing complex enterprise systems.
* Experience in C/C++ programming.
* Experience in Python, Java, Linux, and Git.
* Strong focus on performance, scalability, and reliability in distributed systems.
* Comfortable working with large datasets and collaborating with data science and research teams.
* Team player with strong collaboration and communication skills.
* Quick learner with ability to adapt to new tools, methods, and frameworks.
Preferred Qualifications
* Background in fraud prevention, cybersecurity, or security analytics.
* Background in mobile app research or development (Android/iOS).
* Experience with machine learning or data science.
* Experience building high-throughput data processing systems.
* Understanding of threat landscapes and attack vectors.
* B.Sc. in Computer Science, Software Engineering, or equivalent.
* At least 2 years of experience developing complex enterprise systems.
* Experience in C/C++ programming.
* Experience in Python, Java, Linux, and Git.
* Strong focus on performance, scalability, and reliability in distributed systems.
* Comfortable working with large datasets and collaborating with data science and research teams.
* Team player with strong collaboration and communication skills.
* Quick learner with ability to adapt to new tools, methods, and frameworks.
Preferred Qualifications
* Background in fraud prevention, cybersecurity, or security analytics.
* Background in mobile app research or development (Android/iOS).
* Experience with machine learning or data science.
* Experience building high-throughput data processing systems.
* Understanding of threat landscapes and attack vectors.
This position is open to all candidates.
