The role involves architecting and implementing node-layer security sensors and kernel-based detection systems for machine learning workloads. The engineer will build tooling that utilizes AI to transform security operations and design systems that operate across a large fleet with minimal performance impact. Responsibilities include developing scalable data pipelines for security telemetry and creating monitoring solutions for production environments. The position requires partnering with security and infrastructure teams to translate requirements into maintainable systems. Additionally, the role involves contributing to team growth through mentorship and code reviews while participating in an on-call rotation.

Candidates must possess a background in software engineering with a focus on security, infrastructure, Linux internals, or operating systems. Proficiency in writing maintainable code in Rust or C/C++ is required, alongside a strong understanding of OS security primitives. Applicants should have experience with test-driven development, CI/CD workflows, and a track record of leading technical projects independently. A bachelor’s degree or an equivalent combination of education, training, and experience is the minimum qualification.