Lead Detection Engineer

About this role

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

Nebius is looking for a Lead Detection Engineer.This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline.

You’re welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

• Detection coverage strategy across endpoint, identity, cloud, and infrastructure — how it's measured, prioritized, and continuously improved.

• Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic.

• Architecture connecting detections to enrichment, triage, and automated response workflows.

• Technical standards for how detections are designed, tested, documented, deployed, and retired.

• Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops.

• Design and build high-fidelity behavioral detections across SIEM and EDR platforms.

• Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections.

• Validate detections through threat simulations and continuous detection testing.

• Partner with SOC analysts to close the feedback loop between detections and real investigations.

• Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership.

• Make architectural decisions…