Security Engineer, Detection and Response

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 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. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, v

Hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. Understanding of modern adversary tradecraft (TTPs) and ability to translate it into practical detection strategies and response actions. Threat modeling mindset to evaluate new infrastructure/features and derive concrete D&R requirements. Experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding workloads, nodes, control plane, and networking. Comfort reasoning about lower-level infrastructure and datacenter risks (firmware/BMC surfaces, network segmentation/telemetry, hard-to-observe control paths). Experience across major cloud platforms (Azure, AWS, GCP, OCI) and ability to design cloud-agnostic detection approaches. Enthusiasm for building automation to reduce toil (agent-style workflows) with measurable, auditable outcomes. Strong communication and cross-team collaboration skills to translate D&R needs into clear requirements and drive follow-through.