Lead Detection Engineer

Nebius
Israel
Posted 2 months ago
Posted 20 July 2026
full-time

About the 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. 
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