Detection Engineering Response Lead positions focus on delivering results in their domain. This page aggregates open Detection Engineering Response Lead roles and what employers typically expect.
**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** We're hiring a Detection Engineering & Response Lead to 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. This is a lead engineering role responsible for detection development, handling the most complex security incidents, forensics, and shaping the D&R strategy. **What you’ll do** - Lead detection development: achieve full MITRE coverage, 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. **What we look for** - 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. Serve as the primary owner and driver for complex changes, as a result of incidents post-mortem. **Nice to have:** - Experience with AI/ML and GPU clusters related threats. - Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon). - Background in threat hunting. **Why this role at Nebius** - Build D&R at a company scaling from startup to global infrastructure provider in real time. - Ability to evolve our internal D&R platform into a new cloud security product, delivering novel security observability for a range of neocloud customers - from big tech to AI startups. - Work alongside world-class engineers on infrastructure that powers frontier AI. - Competitive…