Security Engineer, Threat Intelligence

Fluidstack is focused on delivering cutting-edge AI infrastructure and is seeking a Security Engineer specializing in Threat Intelligence. The role involves building a comprehensive security program from scratch and securing AI infrastructure against advanced threats.

Responsibilities:

• Track the nation-state and advanced criminal actors most likely to target frontier AI infrastructure, and turn their tooling, infrastructure patterns, and tradecraft into intelligence that changes what the program detects and hunts for
• Build and run the pipelines that collect, enrich, and correlate indicators, then push them into the detection and agentic triage stack so intelligence becomes operational instantly
• Drive intelligence-led hunts across enterprise, cloud, identity, data center IT, and OT telemetry, and convert findings into high-fidelity detections authored as code
• Perform hands-on malware, phishing-infrastructure, and attacker-tooling analysis to extract indicators, TTPs, and attribution signals that feed detection engineering and incident response in near real time
• Curate the inbound intelligence pipeline across commercial feeds, open source, government, and peer relationships, and prioritize what actually matters for the program's threat model
• Build and maintain the external intelligence-sharing relationships (ISACs, peer AI and cloud security teams, government partners) that keep the program ahead of active campaigns

Requirements:

• You've tracked specific nation-state or advanced criminal actors as a core part of your job, and you know their tooling, infrastructure, and targeting well enough to anticipate their next move
• You write production-quality Python (or similar) and have built the automation and data pipelines your intelligence work depended on, end to end
• You've done hands-on malware, infrastructure, and log analysis to develop and validate your own findings
• You've authored quality detection logic (YARA, Sigma, or SIEM-native queries) that shipped to production and held up against real adversary activity
• You've worked shoulder to shoulder with detection engineers and incident responders, turning intelligence into detections, hunting hypotheses, and incident context while an event was still live
• You write intelligence that gets read and acted on, distilling a complex campaign into a decision and a next step for an engineer or an executive
• An active network in the threat intelligence community and a habit of sharing in both directions
• Experience defending large-scale GPU or AI compute infrastructure, data centers, or multi-tenant cloud environments
• Applying LLMs or agentic tooling to accelerate collection, enrichment, and analysis
• Public research, conference talks, or open-source contributions in the CTI space