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Nscale

Develops and operates AI data centers

Senior Detection & Response Engineer - Cyber Defense

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeUnited KingdomIn-person

About the Job

Requirements

  • At least 5 years of experience in detection engineering, incident response, security operations, threat hunting, security engineering, or related roles.
  • Ability to assess detection rules by identifying what they catch, miss, and how noisy they will be in production.
  • Fluency in modern attacker tradecraft, including credential theft, session abuse, phishing, malware execution, persistence, privilege escalation, lateral movement, command and control, and exfiltration, and knowledge of how these appear in telemetry.
  • Working knowledge of Windows, macOS, and Linux internals, including attacker persistence methods and the logs generated by each operating system.
  • Experience leading or playing a central role in a significant incident, running the bridge, setting priorities, and keeping leadership informed while maintaining technical oversight.
  • Experience building in and securing public cloud environments such as AWS and GCP.
  • Ability to automate repeat work using query languages, scripting, APIs, or workflow automation.
  • Hands-on investigation experience across endpoint, identity, cloud, SaaS, network, or production workloads.
  • Sound judgment on containment under time pressure.
  • Ability and willingness to validate AI-agent analysis and detection logic rather than treating automated conclusions as authoritative.
  • Ability to produce investigations that another engineer can follow, concise actionable escalations for leaders, and durable case notes suitable for later audit.
  • Ability to work calmly and methodically when facts are incomplete or contradictory.
  • Ability to work effectively with engineering, infrastructure, and service owners without direct authority over them.

Responsibilities

  • Map detection coverage against attacker tradecraft and the estate, and identify coverage gaps.
  • Translate coverage gaps, incidents, threat research, and recurring escalations into detection ideas, and work with AI agents to build them.
  • Assess and tune detection ideas and rule logic proposed by agents, including shadow rules, evaluating what each detects, what it misses, and its expected noise.
  • Decide whether proposed detections are ready for promotion and remain accountable for their accuracy.
  • Retire or retune live detections that are noisy, stale, or no longer relevant.
  • Identify telemetry gaps and make the business case for addressing them.
  • Automate recurring response work, including enrichment, triage, containment actions, case handling, and reporting.
  • Improve first-tier agents so they resolve more issues independently and escalate with better context.
  • Build and ship internal security-platform capabilities, including response actions, integrations, and agent tooling, and verify their operation in production.
  • Command security incidents by setting objectives, coordinating responders across engineering, infrastructure, and service owners, and keeping leadership informed.
  • Make containment decisions under time pressure, considering available authority and potential production disruption.
  • Conduct post-incident reviews that result in engineering work.
  • Design and run tabletop exercises and recovery tests.
  • Maintain accurate playbooks and runbooks, and automate steps that do not require human intervention.
  • Ensure incident evidence, access, knowledge, and authority are in place in advance.
  • Take operational escalations from agents and the managed provider, assess them against asset and business context, decide on a response, and act.
  • Execute approved containment, including device isolation, session revocation, access restriction, activity blocking, and evidence preservation.
  • Ensure escalations receive an appropriate resolution, building detections or automation with agents or specifying control changes for the owning team.
  • Close cases with a security disposition, owner, evidence, actions taken, and required follow-up.
  • Hold the managed provider to the required standard for evidence, analysis, routing, and closure quality.
  • Learn the incident command, escalation, evidence, and handover model and take a rotation slot.
  • Independently own common classes of escalations with defensible dispositions and evidence.
  • Deliver an initial detection, automation, or control change that permanently retires a recurring alert class.
  • Map detection coverage for an area of the estate, identify its top gaps, and work with agents to close at least one.
  • Assess, tune, and promote agent-proposed detections to live.
  • Add a feature to the internal security platform.
  • Shadow the incident commander during an incident or exercise.
  • Identify a telemetry gap and develop a supporting business case.

Desired Qualifications

  • Experience with operational technology, industrial control systems, building management systems, or critical facilities.
  • Experience with cloud infrastructure, AI infrastructure, data centres, high-performance computing, or other availability-sensitive environments.
  • Experience with detection-as-code, detection testing, adversary emulation, or purple teaming.
  • Experience building, tuning, or evaluating AI agents or large language model-based security tooling.
  • Incident-response experience involving ransomware, identity compromise, destructive attacks, cloud intrusion, insider threats, or supply-chain incidents.
  • Experience holding a managed monitoring or response provider to a defined standard while keeping decisions in-house.
  • Experience working as part of a follow-the-sun rotation.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
N/A
Total funding
$13.2B
Headquarters
London, United Kingdom
Founded
2024

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