Senior Windows Developer - Workforce AI Security

Why Join Us?

We are on a mission to secure the AI transformation that every company is going through, and the OS-level agent is at the heart of that mission. This is your chance to join the fastest growing area in Check Point and build technology that will shape how cybersecurity works in the AI era. You will be part of a multi-disciplinary team that includes AI researchers, cloud engineers, and OS experts from Israel and from acquisitions like Lakera, all working together to deliver cutting-edge solutions to the largest customers in the world.

Build a Windows security product that protects enterprises from AI-related threats by monitoring interactions with generative AI services across browsers and development tools. Work with a multi-process system architecture featuring network interception, real-time policy enforcement, and deep Windows integration.

Key Responsibilities

• Collaborate with macOS, Backend, QA, Product Management and AI teams to ensure consistent behavior and protection across platforms
• Develop new features in .NET/C# and maintain existing Windows codebase
• Build Windows Services and user-mode agents with secure inter-process communication
• Contribute to the network proxy infrastructure for network traffic interception
• Leverage Windows system facilities to provide optimal security
• Integrate with IDEs and implement MCP protocol proxying
• Manage and orchestrate proxy services deployed at runtime
• Debug complex multi-process security software
  
  

Qualifications

6+ years system-level development experience

3+ years Windows development experience

Ability to demonstrate proficiency with AI Driven Development

Strong C# development skills

Experience maintaining and refactoring existing Windows codebases

Experience with installers, code signing, packaging, privileged operations, and enterprise deployment

Understanding of networking technologies and programming

Experience with Git, CI/CD

Comfortable with cross-platform development

Computer Science University degree or equivalent

Nice-to-Have

Browser extension development, especially Chrome and Edge

Knowledge of AI/LLM tools such as VS Code extensions and Claude Desktop

Experience with Model Context Protocol, MCP

Network traffic inspection or packet analysis background

Windows Filtering Platform, ETW, Windows security APIs, or endpoint security development

Python proficiency

macOS development experience

Rust experience