We are looking for a versatile and innovative Attack-oriented Cyber Researcher to join our R&D team and become part of the revolution. You will conduct state-of-the-art research across multiple environments, ranging from Windows internals and kernel-level security to cloud platforms like AWS, Azure, Web technologies, etc' to stay one step ahead of real threat actors.
Your findings, your code and attack tools will feed directly into our automated attack platform, enhancing its capabilities with new offensive techniques and AI-powered decision-making algorithms.
Roles and Responsibilities:
Perform in-depth research in multiple areas such from AV/EDR evasion, binary exploitation, vulnerability discovery, and subversion of communication channels across both OS-level, domains, cloud-native domains, external surfaces.
Integrate research outputs into production-grade attack functionalities within our automation ecosystem.
Architect and develop AI-driven decision-making modules that enable the platform to mimic experienced attackers, making real-time choices during automated operations.
Develop production-ready attack capabilities using whatever technologies are necessary, Python, C/C++, C#, Java, Office Macros, Bash, PowerShell, Go, Ruby, Assembly, etc.
Mentor and collaborate with fellow R&D team members, fostering a culture of innovation and continuous learning.
Requirements: 5+ years of experience in Windows internals, low and high-level attack-oriented development, penetration testing, and offensive security.
3+ years of experience in Python development.
Demonstrated skill in writing cyber-related code optimized for performance, memory, and stealth.
Experience with attack frameworks and tools such as Metasploit, Nmap, Cobalt Strike, Impacket, Burp, Pacu, and similar.
Proficiency in reverse engineering and debugging (e.g., IDA, Radare2, WinDBG) for low-level research.
Familiarity with cloud ecosystems and hybrid environments, specifically AWS, Azure.
Ability to apply AI or machine learning concepts and models to decision-making processes within the automated attack platform.
Excellent teamwork, adaptability, and a quick learning mindset.
This position is open to all candidates.