Tech Lead Engineer - Device Agent

Description 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. What You’ll Do Responsibilities: Drive the technical strategy for Zenity's cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux. Lead a distributed team of engineers, improving 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. 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.