Senior macOS Engineer — Workforce AI Security (NXJ-193)

The platform provides visibility and control over how enterprise employees interact with generative AI tools and safeguards data at the endpoint level. Operating across hundreds of thousands of managed Macs, the solution handles network interception and deep integration into AI developer tools without interrupting daily user workflows.

Must-have:

• 5+ years of systems-level software development, including 3+ years delivering production macOS software using Swift and Objective-C
• Deep expertise in macOS platform internals, including launchd, XPC, code signing, notarization, packaging, privileged operations, and debugging complex runtime behavior
• Solid grounding in networking fundamentals, including system proxies, TLS, certificate trust, and connection behaviors
• Hands-on proficiency with modern AI development tools such as Claude Code or Cursor, with a critical, verification-first approach to AI-generated code
• Clear technical communication skills, with experience resolving critical technical issues alongside field engineers and enterprise IT teams
• A CS degree or equivalent practical engineering background

Nice-to-have:

• Hands-on experience with Security.framework, EndpointSecurity, NetworkExtension content filters or transparent proxies, trust evaluation, or browser extensions for Safari or Chrome
• Enterprise deployment experience using MDM solutions such as Jamf Pro, Intune for Mac, or Workspace ONE, including configuration profiles and tools like pkgbuild / productbuild
• Experience handling production TLS interception, trust chain management, certificate pinning, or network packet analysis
• Proficiency in Rust, Python, Model Context Protocol (MCP), or prior experience building security products such as EDR, CASB, DLP, or browser security solutions
• Windows or cross-platform endpoint experience, particularly where consistency across platforms matters

• Architect and maintain privileged system services, inter-process communication, and robust self-updating mechanisms across non-administrated endpoints
• Implement TLS interception and certificate trust chains on macOS while resolving edge cases for applications that resist or bypass standard trust mechanisms
• Resolve system proxy configuration conflicts dynamically to maintain stability alongside competing endpoint security tools, VPNs, and cloud proxies
• Build native interception capabilities for AI developer tools to monitor and apply data-loss policies to generative AI workflows
• Enforce fail-open system architecture so local failures never degrade end-user network connectivity or access to corporate assets
• Analyze real customer logs and clean-state Mac reproductions to identify root causes and ship permanent fixes for complex deployment issues
• Own product fixes when the agent conflicts with other endpoint security products rather than relying on customer-side exclusions or workarounds
• Serve as the principal technical authority for macOS engineering decisions across the broader R&D organization