Tech Lead Engineer - Device Agent

About Us: Zenity is the first and only holistic platform built to secure and govern AI Agents from build-time to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world's Fortune 500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

Requirements: • 8+ years of hands-on software engineering experience delivering device agent software at scale in an enterprise environment. • Demonstrated ability to lead complex technical initiatives end-to-end and mentor technical teams. • Deep expertise in endpoint agent development (EDR/XDR), OS internals, and security distribution models including code signing, notarization (or equivalent), and MDM deployment. • Experience with reverse engineering and platform-specific facilities such as eBPF on Linux or WFP, minifilters, and kernel drivers on Windows. • Proficiency in native systems languages (e.g., Swift, C/C++) is a valuable secondary skill for platform-specific extensions. • High proficiency in C# and the .NET runtime, including P/Invoke interop. • Familiarity with PowerShell, C++, shell scripting or Python is an advantage. • Experience writing code in Agile, CI/CD-based delivery environments. • Advantage: experience working on large-scale cloud-based services. • Outstanding collaboration skills and a pragmatic approach to leading in high-velocity environments. • Flexibility, resilience, and strong problem-solving abilities. • Hands-on experience using AI coding agents and assistants (e.g. Claude Code, Cursor, Copilot) in day-to-day development, with the judgment to know when to delegate to an agent and when to go deep yourself. • A habit of reviewing, verifying, and taking full ownership of AI-generated code - correctness, security, and performance - regardless of how it was produced.