Lead Detection Engineer

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 that scale as the team and organization grow. 

We expect you to have: 

• Minimum 3 years in detection engineering, security operations, or a hybrid offensive/defensive role — with demonstrated depth, not just breadth. 
• Experience owning or leading detection engineering work as a senior technical contributor 
• Strong understanding of attacker tradecraft and adversary behavior. 
• Hands-on experience with at least one enterprise SIEM and EDR platform — Splunk, Microsoft Sentinel, CrowdStrike, or equivalent. 
• Cloud security depth across Azure, AWS, or GCP. 
• Strong query development skills in SPL, KQL, Sigma, or similar. 
• Strong scripting skills (python, powershell etc)
• Solid engineering practices: Git, CI/CD, code review, Detection-as-Code workflows. 
• Experience using MITRE ATT&CK to design, validate, and measure detection coverage  
• Ability to make and defend technical decisions and establish standards others adopt. 

It will be an added bonus if you have: 

• Offensive security background or certifications. 
• Experience with threat hunting and detection validation frameworks. 
• Experience designing SOAR playbooks and automated response workflows. 
• Experience building AI-assisted detection, investigation, or triage workflows.