Security Engineer, Detection and Response - EMEA
Dublin, Ireland、London, UK、Zurich, Switzerland · 全职 · 工程与基础设施
需要对标的能力
Agent · 智能体设计Agent 工程 · Harness / 脚手架AI Infra · 推理部署成本优化 · 性能调优评测 · Eval 方法论
岗位职责与要求
About the Team
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 problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements.
- Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences.
- Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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关于团队
安全团队负责保护 OpenAI 的技术、人员和产品。我们在构建时秉持技术导向,但在工作中注重运营效率,并致力于支持 OpenAI 的所有产品和研究。我们安全团队的原则包括:优先关注影响力、赋能研究人员、为未来变革性技术做好准备,以及培育 robust 的安全文化。
关于职位
作为检测与响应(Detection & Response)方向的安全工程师,你将帮助保护 OpenAI 最敏感的资产——包括我们的知识产权、客户数据以及支撑它们的基础设施——通过构建和运营我们用于检测可疑活动并在关键时刻有效响应的系统。你将跨越端点、身份、云、超大规模计算基础设施以及数据中心相关层展开工作,与安全团队和基础设施负责人紧密合作,定义我们所需的遥测和响应要求,并在最具杠杆效应的地方构建工具和自动化。
在这个角色中,你将:
- 在 OpenAI 的基础设施、产品和研究环境中构建并演进检测与响应能力,重点关注高信噪比检测和可靠的运营响应。
- 工程化检测管道和工具:开发规则生命周期管理、度量/质量闭环(覆盖度、精确度、延迟)、调优流程以及安全发布模式。
- 通过构建工作流实现响应和调查自动化,减少重复劳动(分类、丰富化、遏制、证据收集),缩短理解时间/遏制时间。
- 与公司内其他安全团队以及系统/基础设施负责人合作,确保新系统从第一天起就配备正确的遥测、威胁模型和响应手册。
- 定义检测与响应要求,并在端点、身份、SaaS、云、Kubernetes 中推动可见性:识别遥测/控制差距,确定优先级,并与合作团队推动修复(当直接实施是最快/最有效的路径时直接实施)。
- 在前沿 AI 实验室环境中评估和响应新兴安全关切,例如针对大规模跨基础设施运行的 agent 的检测和响应策略。
如果你具备以下条件,你可能在这个角色中表现出色:
- 拥有实际的威胁检测和/或事件响应经验,包括构建检测规则、运行调查和改进运营手册。
- 了解现代对手技战术(TTPs),并能将其转化为实用的检测策略和响应行动。
- 具备威胁建模思维。你能够评估新基础设施或功能,识别检测与响应影响(可能出什么问题、我们需要看到什么、我们如何响应),并将其转化为系统交付团队的具体需求。
- 拥有在 Kubernetes/容器化环境中工作的经验,包括从集群遥测构建检测,以及理解常见的故障和攻击模式(workload、节点、control plane、网络)。
- 能够熟练分析底层基础设施和数据中心风险,例如 firmware/BMC 层面、网络分段/遥测,以及难以观测的控制路径。
- 拥有跨主要云平台(Azure、AWS、GCP、OCI)的经验,能够尽可能设计云无关的检测方案。
- 喜欢构建替代重复性检测与响应工作的自动化,包括审慎使用 agent 风格的工作流来有意义地减少重复劳动,同时保持结果可衡量、可审计且安全。
- 对前沿技术公司的新问题领域充满热情:例如,思考如何检测和响应大规模跨系统运行的 agent,并将这些想法转化为务实的遥测和响应需求。
- 沟通清晰,善于跨团队协作。你能够将检测与响应需求转化为清晰的要求,协调利益相关方,并在技术和非技术受众中推动后续执行。
- 熟悉脚本编写,喜欢使用 AI/agent 工具来加速调查和自动化——更多是"指挥"而非事事亲力亲为。
如需通知 OpenAI 你认为此职位发布不合规,请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。
在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 的益处能够被广泛分享。加入我们,共同塑造技术的未来。
译文仅供辅助阅读,具体要求以原始招聘来源为准。