Mobile Security Engineer (Android / Web)

Location: Remote-first, with the role listed for Australia, Hong Kong, Singapore, Taiwan, and Thailand

Company

Binance is a global blockchain ecosystem operating a cryptocurrency exchange and digital-asset products across trading, finance, payments, education, research, and institutional services.

What you will do

• Develop and maintain the Risk SDK for Android using Java/Kotlin and NDK or for Web using JavaScript/TypeScript.
• Build capabilities for detecting hooks, debugging, device tampering, and other risk-environment signals.
• Research and develop code-hardening technologies, including code obfuscation and VMP.
• Collaborate with backend and strategy teams on signal reporting, data quality, and detection-efficacy evaluation.

Requirements

• Proficiency in one or more of Java, C/C++, ARM assembly, TypeScript, or JavaScript.
• 3+ years of client-side development experience, including Android or Web development capability.
• Reverse-engineering skills on Android, including Smali/DEX and the native SO layer, or on Web, including JavaScript deobfuscation and protocol analysis.
• Familiarity with Android system internals or browser runtime environments, including app lifecycle, signature mechanisms, JNI, WebView, or JavaScript engines.
• Familiarity with hooking frameworks, emulators and cloud phones, app multi-boxing and cloning, repackaging, automated clients, and corresponding countermeasures.
• Strong engineering discipline with awareness of code quality, performance, stability, package size, startup time, crash rate, and compatibility.

Culture & Benefits

• Remote-first, work-from-home arrangement; details may vary based on the role and team.
• Work in a global, user-centric organization with a flat structure and collaboration across world-class teams.
• Autonomous work on challenging projects in a fast-paced and innovative environment.
• Career growth and continuous learning opportunities.
• Competitive salary and company benefits.

Hiring process

• Applications may be supported by AI tools for reviewing applications, analyzing resumes, assessing responses, and identifying inconsistencies or verification signals; final hiring decisions are made by humans.