Detection&Response Security Engineer - Cloud&Kubernetes, Zürich (Kreis 11)
Detection&Response Security Engineer - Cloud&Kubernetes, Zürich (Kreis 11)
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Zürich (Kreis 11), Schweiz
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Aufgegeben: vor einer Woche
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Merken
Anzeigentext
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, supporting all products and research at OpenAI while enabling 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 that detect suspicious activity and respond effectively.
In This Role, You Will
Build and evolve Detection&Response capabilities across OpenAI’s infrastructure, products, and research environments, emphasizing high‑signal detection and reliable operational response.
Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops, tuning processes, and safe rollout patterns.
Automate response and investigations by building workflows that reduce toil and improve time‑to‑understand/time‑to‑contain.
Partner with other Security teams and system/infrastructure owners to ship new systems 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, identifying telemetry/control gaps, prioritizing them, and advocating for fixes or implementing directly.
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, evaluating new infrastructure or features, identifying D&R implications, and turning them into concrete requirements.
Have experience working in Kubernetes/containerized environments, building detections from cluster telemetry, and understanding failure and attack modes.
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.
Like building automation that replaces repetitive D&R work, using agent‑style workflows to reduce toil while keeping outcomes measurable, auditable, and safe.
Are energized by new problem areas at a forward‑leaning technology company, e.g., detecting and responding to agents operating across systems at scale.
Communicate clearly and collaborate well across teams, translating D&R needs into clear requirements, aligning stakeholders, and driving follow‑through.
Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation.
Equal Opportunity We are an equal‑opportunity employer and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for U.S.‑based candidates. For unincorporated Los Angeles County workers, we reasonably believe that criminal history may have a direct, adverse, and negative relationship with the following job duties.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via the provided link.
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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 that detect suspicious activity and respond effectively.
In This Role, You Will
Build and evolve Detection&Response capabilities across OpenAI’s infrastructure, products, and research environments, emphasizing high‑signal detection and reliable operational response.
Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops, tuning processes, and safe rollout patterns.
Automate response and investigations by building workflows that reduce toil and improve time‑to‑understand/time‑to‑contain.
Partner with other Security teams and system/infrastructure owners to ship new systems 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, identifying telemetry/control gaps, prioritizing them, and advocating for fixes or implementing directly.
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, evaluating new infrastructure or features, identifying D&R implications, and turning them into concrete requirements.
Have experience working in Kubernetes/containerized environments, building detections from cluster telemetry, and understanding failure and attack modes.
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.
Like building automation that replaces repetitive D&R work, using agent‑style workflows to reduce toil while keeping outcomes measurable, auditable, and safe.
Are energized by new problem areas at a forward‑leaning technology company, e.g., detecting and responding to agents operating across systems at scale.
Communicate clearly and collaborate well across teams, translating D&R needs into clear requirements, aligning stakeholders, and driving follow‑through.
Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation.
Equal Opportunity We are an equal‑opportunity employer and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for U.S.‑based candidates. For unincorporated Los Angeles County workers, we reasonably believe that criminal history may have a direct, adverse, and negative relationship with the following job duties.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via the provided link.
#J-18808-Ljbffr
Highlights
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FirmennameOpenAI
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JobtitelDetection&Response Security Engineer - Cloud&Kubernetes
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