Senior macOS 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 macOS 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 macOS integration.

Key Responsibilities

• Collaborate with Windows, Backend, QA, Product Management and AI teams to ensure consistent behavior and protection across platforms
• Develop new features in Swift and maintain existing Objective-C codebase
• Build LaunchDaemons/LaunchAgents with XPC-based inter-process communication
• Contribute to the network proxy infrastructure for network traffic interception
• Leverage Apple’s 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
  
  

• 5+ years system level development experience
• 3+ years macOS development experience
• Ability to demonstrate proficiency with AI Driven Development
• Strong Swift skills development skills
• Objective-C proficiency - maintain and refactor existing code
• Deep knowledge of macOS frameworks
• Experience with LaunchDaemons/LaunchAgents, code signing, packaging, notarization and privileged operations
• Understanding of networking technologies and programming
• Experience with Git, CI/CD
• Comfortable with cross-platform development
• Computer Science University degree or equivalent
  
  

• Browser extension development (Safari, Chrome)
• Knowledge of AI/LLM tools (VS Code extensions, Claude Desktop)
• Experience with Model Context Protocol (MCP)
• Network traffic inspection or packet analysis background
• Endpoint Security Framework or macOS security APIs
• Python proficiency
• Windows development experience
• Rust experience