[Hiring] Detection Engineering & Response Lead @Nebius

Role Description

The Detection Engineering & Response Lead will build and run our D&R capability from the ground up. You'll own the detection engineering, threat intelligence, and incident response functions across Nebius Cloud and lead a small, growing team of analysts and engineers.

• Lead detection development: maintain low false-positive and false-negative rates.
• Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats.
• Architect and operate detection coverage across our cloud and bare-metal environments.
• Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks.
• Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure.
• Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews, and controlling critical action items are closed to prevent future possible incidents.
• Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators.
• Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc.
• Build and maintain Security Incident Response program: people, processes, tools.
• Build tools, runbooks, and on-call processes that scale as the company grows.

Qualifications

• 6+ years in security operations, detection engineering, or incident response — with at least 1–2 years leading or mentoring a team.
• Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure).
• Strong detection engineering skills: writing and tuning rules/detections in SIEM Platforms (e.g., Chronicle, Splunk, Elastic) and SQL.
• Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal).
• Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain) and how to operationalize them in detections.
• Solid IR fundamentals: memory forensics, log analysis, network traffic analysis, and post-incident reporting.
• Stakeholder management: able to coordinate across engineers, compliance, legal, executives during active incident phase.

Requirements

• Experience with AI/ML and GPU clusters related threats (nice to have).
• Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon) (nice to have).
• Background in threat hunting (nice to have).

Benefits

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.