OpenAI· Security· London, UK, Zurich, Switzerland, and Dublin, Ireland
Security Engineer, Detection and Response - EMEA
Classified Tasks (25)
Automate 0%Augment 72%Human-Only 28%
Augment (18)
AI assists, human decides
1. Build and operate detection systems to identify suspicious activity and enable effective incident response.
technical
2. Work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers to implement detection and response capabilities.
technical
4. Build tooling and automation to implement telemetry collection and response where it delivers the most leverage.
technical
5. Build and evolve Detection & Response capabilities across infrastructure, products, and research environments.
technical
6. Implement high-signal detection capabilities and reliable operational response mechanisms.
technical
7. Engineer detection pipelines and tooling.
technical
8. Develop rule lifecycle management for detection rules.
operational
9. Develop measurement and quality loops to track coverage, precision, and latency of detections.
analytical
10. Develop tuning processes for detection rules and pipelines.
operational
11. Develop safe rollout patterns for detection deployments.
operational
12. Automate response and investigations by building workflows.
technical
13. Build triage workflows to reduce operational toil.
operational
14. Build enrichment workflows to augment investigation data.
technical
15. Build containment workflows to limit and isolate security incidents.
technical
16. Build evidence-capture workflows to preserve forensic data.
technical
17. Improve time-to-understand and time-to-contain through automation and tooling.
operational
20. Identify telemetry and control gaps across environments.
analytical
23. Implement telemetry or control fixes directly when it is the fastest or most effective path.
technical
Human-Only (7)
Requires human judgment
3. Partner with security teams and infrastructure owners to define telemetry and response requirements.
communication
18. Partner with other Security teams and system/infrastructure owners to ensure new systems ship with appropriate telemetry, threat models, and response playbooks from day one.
communication
19. Define Detection & Response (D&R) requirements and drive visibility across endpoints, identity, SaaS, cloud, and Kubernetes.
leadership
21. Prioritize telemetry and control gaps for remediation.
leadership
22. Advocate for fixes with partner teams to address telemetry and control gaps.
communication
24. Evaluate emergent security concerns in a frontier AI lab environment.
analytical
25. Respond to emergent security concerns by designing detection and response strategies for agents operating across infrastructure at scale.
leadership
Job description
Security Engineer, Detection and Response - EMEA | OpenAI Careers ## Security Engineer, Detection and Response - EMEA Security - London, UK, Zurich, Switzerland, and Dublin, Ireland Apply now(opens in a new window) **About the Team** Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. **About the Role** As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. **In this role, you will:** * Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. * Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. * Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. * Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. * Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path). * Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale. **You might thrive in this role if you:** * Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. * Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions. * Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system. * Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking). * Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths. * Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible. * Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe. * Are energized by new