Reverse Mobile Engineer

Stellenbeschreibung:

Are you driven by uncovering what’s happening beneath the surface of mobile applications? This team builds advanced data and intelligence solutions that help organizations cut through noise, understand complex ecosystems, and make faster, better-informed decisions.

Role - 100% Remote

In this role, you’ll focus on reverse engineering Android applications to extract meaningful technical and product intelligence. Your work will directly support the development of scalable, reliable data pipelines and intelligence-driven products.

Responsibilities

  • Reverse engineering major Android applications to uncover strategic and behavioral insights
  • Using tools such as Frida, JEB, Ghidra, IDA, and internal instrumentation frameworks
  • Analyzing obfuscation techniques, ARM‑native binaries, and root or jailbreak detection mechanisms
  • Identifying architectural and functional changes across application versions
  • Building internal tools and scripts to automate and scale static and dynamic analysis workflows
  • Working closely with engineering and intelligence teams to translate technical findings into actionable outcomes

All research is conducted strictly within legal and ethical boundaries. This role does not involve hacking or unauthorized access.

Requirements

  • 2+ years of experience in Android reverse engineering, mobile security research, or low-level mobile development
  • Strong understanding of Android internals and Java
  • Practical experience working with Smali and APK structures
  • Deep familiarity with Frida and runtime manipulation on Android
  • A curiosity-driven mindset with an interest in undocumented behaviors and edge cases

Nice to Have

  • Python scripting for analysis automation
  • Experience with obfuscation, anti-analysis techniques, or commercial packers
  • Previous work with IDA Pro, Radare2, or similar reverse engineering platforms

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Stelleninformationen

  • Veröffentlichungsdatum:

    29 Apr 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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