Fluidstack
artificial superintelligence
StaffDetectionEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Detection Engineer at Fluidstack. Skills: detection engineering, AI and machine learning for detections, novel detection tooling development, LLM-based agentic capabilities. Lead detection engineering for Fluidstack’s IT surface. Author and tune production detections as code”
What You'll Achieve.
set the standards that every detection engineer who follows inherits; lay the foundations of detection on some of the most critical infrastructure being built today; close the detection-to-response loop
Industry & Context.
investigated anomalies
Participate in the on-call rotation for incident response
What They're Looking For.
Must Have
detection engineering experience, built detection programs at scale, fluent across coding and querying languages, handled security-relevant data at massive scale and complexity, written sophisticated detection logic against diverse telemetry, handled security incidents and investigated anomalies as part of a team, set up detection CI/CD, or know how you would build it on day one, well-founded opinions on what makes a detection program work in production, read the agent-first thesis as the most interesting design choice in security operations right now, built or contributed to internal tooling, not just consumed commercial products, see what is needed, scope it yourself, and run with it
Nice to Have
Experience building or operating agentic detection tooling using LLMs, Experience designing and tuning LLM-based triage or investigation systems against measured precision and recall, Experience with Python and SQL applied to detection development and security data analysis, Experience at the boundary between detection engineering and security platform engineering at scale, Background in detection or security engineering at GPU compute, HPC, or other hyperscale infrastructure
What You'll Do.
Lead detection engineering for Fluidstack’s IT surface
Author and tune production detections as code
Apply AI and machine learning to build effective detections
Develop novel detection tooling
Set the engineering standards
and quality metrics for the detection engineering discipline
Conduct threat and security research
Partner with security platform engineers
and threat intelligence to close the detection-to-response loop
How You'll Work.
Team & Collaboration
Partner with security platform engineers, incident response, and threat intelligence
Full Job Description
ABOUT FLUIDSTACK At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world’s biggest AI Labs at industry-defining speeds. Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here. There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them. ABOUT THE ROLE Fluidstack operates the compute infrastructure powering frontier AI. The work running on it is among the most consequential being done today, and the adversaries interested in it are among the most sophisticated, persistent, and well-resourced anywhere. We are building Detection & Response Engineering from the ground up: engineering-led, agent-first, and built to scale across IT, OT, and physical surfaces. As the Staff Detection Engineer for IT, you lead detection engineering for Fluidstack’s IT surface. You set the standards that every detection engineer who follows inherits, and lay the foundations of detection on some of the most critical infrastructure being built today. WHAT YOU’LL DO - Lead detection engineering for Fluidstack’s IT surface, including cross-domain detections where IT bridges OT or physical surfaces. - Author and tune production detections as code, with peer review, CI/CD, and measured precision and recall. - Apply AI and machine learning to build effective detections, including behavioral analytics and anomaly detection at scale. - Develop novel detection tooling, including agentic capabilities that use LLMs for triage, investigation, and response. - Set the engineering standards, coverage methodology, and quality metrics for the detection engineering discipline. - Conduct threat and security research that informs detection logic, surfaces coverage gaps, and drives new detections. - Partner with security platform engineers, inci
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