Security Researcher - Bot Detection Adversarial Research

New
USFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Fluent English
Experience
5+ years
Required Skills
PythonJavascriptTypeScriptC++

Requirements

  • 5+ years of experience in R&D, security research, software engineering, or testing roles in complex technical environments.
  • Strong understanding of HTTP and TLS protocols and how they are used and manipulated in real-world systems.
  • Experience in at least two of the following areas: programming in JavaScript, TypeScript, Python, or C++; penetration testing or offensive security (e.g., OSCP, OSEP); web or mobile security research; reverse engineering (including JS deobfuscation or binary analysis); malware analysis; or anti-bot/WAF/DDoS system development.
  • Hands-on experience with reverse engineering techniques and adversarial system analysis.
  • Familiarity with anti-bot technologies, web security tools, or large-scale protection systems is a strong advantage.
  • Strong analytical mindset with the ability to break down complex systems and identify weaknesses.
  • Fluent English communication skills, both written and verbal.
  • Experience working in web security or anti-bot-focused environments is highly desirable.

Responsibilities

  • Conduct advanced research on anti-bot systems, web protection technologies, and mechanisms that block large-scale data collection.
  • Design, build, and improve HTTP client infrastructure to ensure reliable and efficient web data acquisition at scale.
  • Reverse engineer adversarial systems, including fingerprinting techniques and bot mitigation strategies, to identify weaknesses and bypass mechanisms.
  • Monitor emerging web standards, protocols, and security technologies that may impact data collection capabilities.
  • Develop and refine methods for simulating real-world adversaries against anti-bot systems to evaluate system resilience.
  • Contribute to the evolution of large-scale data collection platforms through research-driven engineering improvements.
  • Collaborate with engineering and research teams to translate findings into production-ready solutions.
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