Security Researcher - Bot Detection Adversarial Research

Accountabilities

• 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.

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.

Benefits

• Competitive compensation aligned with experience and technical expertise.


• Fully remote work environment with global team collaboration.


• Opportunity to work on cutting-edge adversarial security and web-scale systems.


• High level of autonomy and ownership over research direction and technical decisions.


• Exposure to complex, real-world security challenges at massive scale.


• Collaborative and technically strong research and engineering culture.


• Opportunity to directly influence the evolution of large-scale data collection systems.

Dette opslag er fra ats_lever. Se originalopslag ↗