Low Level Team Leader

Title: Attack Team Lead – Offensive R&D & Windows Internals

Location: Tel Aviv (Hybrid)

Reports To: Engineering Group Manager

About the Role

We’re looking for an experienced and hands-on Team Lead to head an Offensive R&D group focused on developing advanced attack capabilities for Windows environments.

You’ll lead a small, highly technical team building production-grade offensive tools — from kernel-level components to user-mode loaders — used in red teaming, evasion techniques, and adversary simulations.

This is a hybrid role combining technical leadership, hands-on development, and deep research collaboration.

What You’ll Do

• Lead the design, development, and delivery of advanced offensive components targeting Windows systems.
• Develop kernel-mode and user-mode modules in C/C++, integrating with Python-based research tools.
• Research and implement evasion and bypass techniques for modern Windows security controls.
• Debug complex issues using WinDBG and related tools.
• Collaborate closely with researchers and R&D peers to refine and deliver cutting-edge capabilities.
• Mentor engineers and drive best practices within the team.

Requirements

• 5+ years of experience in Windows Internals / Kernel-mode development (C/C++).
• 3+ years of Python experience (integrations and automation).
• Proven leadership experience in offensive security or R&D.
• Strong debugging skills (WinDBG, KD, etc.).
• Deep understanding of Windows APIs, system calls, and security mechanisms.
• Experience with stealth and evasion techniques, API hooking, or in-memory execution.
• Excellent communication skills and a collaborative mindset.

Nice to Have

• Experience with MITRE ATT&CK, red teaming, or adversary simulation.
• Background in developing offensive tooling or internal R&D frameworks.
• Understanding of modern threat actor TTPs.

Why Join

Be part of a small, elite team pushing the boundaries of offensive research and Windows internals — solving hard technical challenges and creating real-world impact at scale.