OpenAI

Security Engineer, Detection and Response

OpenAI$120K — $160K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of threat detection and incident response experience
  • Strong understanding of adversary tactics, techniques, and procedures (TTPs)
  • Experience with Kubernetes and containerized environments
  • Familiarity with major cloud platforms like Azure, AWS, GCP, OCI
  • Ability to evaluate security implications of new systems and features
  • Strong communication skills for cross-team collaboration
  • Proficient in scripting and automation tools for D&R tasks

Responsibilities

  • Build and enhance Detection & Response capabilities across the organization's infrastructure
  • Engineer detection pipelines and automation for response processes
  • Automate investigations to minimize manual work and increase efficiency
  • Collaborate with security teams to implement telemetry and threat models in new systems
  • Define and prioritize detection requirements based on security gaps
  • Evaluate emergent security issues in AI operations and develop appropriate responses

Benefits

  • Opportunity to work in a cutting-edge AI environment
  • Impactful role protecting sensitive data and intellectual property
  • Collaboration with top-tier security and infrastructure teams
  • Focus on building automation to streamline security processes
  • Engagement with forward-thinking technology challenges
Full Job Description
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 artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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