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Detection and Response Engineer

talenthop • United State
Remote
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The Detection and Response Engineer will protect the AI research infrastructure by leading detection, alerting, and incident response processes. Responsibilities include building SIEM detections as code, automating triage, monitoring cloud and Kubernetes environments, and collaborating with engineering teams. Requires hands‑on incident response experience, expertise in SIEM and cloud/Kubernetes security, and strong scripting skills in Python or similar languages.

Key Highlights
Own end-to-end detection and response processes
Develop and tune SIEM detections across cloud and Kubernetes environments
Lead incident response and automation to reduce manual triage
Key Responsibilities
Own end-to-end detection and response processes, including logging, alerting, triage, and recovery.
Develop and tune detections as code across cloud environments, Kubernetes, identity systems, endpoints, and SaaS.
Lead incident response from alert to containment and forensics, producing post-incident reports.
Build automation to reduce manual triage including enrichment, correlation, containment, and evidence collection.
Monitor AI agent and developer tooling telemetry and implement controls.
Collaborate with engineers to ensure new systems have logging and response playbooks at launch.
Conduct threat hunts and tabletop exercises, addressing identified vulnerabilities.
Translate incident and detection metrics into evidence for SOC 2, ISO 27001, and customer security reviews.
Participate in security incident on-call rotations.
Technical Skills Required
Incident response SIEM Kubernetes
Benefits & Perks
Fully remote work

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates at the intersection of artificial intelligence, art, and science, focusing on developing world models to simulate and understand real-world dynamics. It addresses challenges in AI related to robotics, disease, and scientific discovery by accelerating learning through simulation rather than real-world trial and error. This approach aims to transform storytelling, scientific progress, and human advancement.

About the Opportunity:

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