Windows Developer - Workforce AI Security

Company Description

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.

Job Description

• 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

• 5+ 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