What Youll Do
Responsibilities:
Drive the technical strategy for our cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux.
Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization.
Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices.
Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities.
Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks.
Own high-impact technical decisions that balance velocity, security, and reliability.
Deliver maintainable features supported by comprehensive testing, metrics, and monitoring.
Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership.
Participate in design and code reviews to maintain high engineering standards.
Champion AI-assisted engineering across the team – set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade.
8+ years building device agent software at enterprise scale, with a track record of leading complex technical initiatives end-to-end and mentoring engineers.
Deep expertise in endpoint agent development (EDR/XDR), OS internals, and security distribution (code signing, notarization/equivalent, MDM deployment), including reverse engineering and platform-specific facilities (eBPF on Linux; WFP, minifilters, kernel drivers on Windows).
High proficiency in C#/.NET (including P/Invoke); native systems languages (Swift, C/C++) are a strong plus for platform-specific extensions, as is PowerShell, shell scripting, or Python.
Experience delivering in Agile, CI/CD environments; large-scale cloud services experience is a plus.
Strong collaboration, pragmatism, and problem-solving in high-velocity, fast-changing settings.
Practical experience using AI coding agents/assistants (e.g. Claude Code, Cursor, Copilot), with good judgment on when to delegate vs. go deep, and full ownership of reviewing and verifying AI-generated code for correctness, security, and performance.
