Technology, Information and Internet👥 51-200 employees📍 New York, NY (US)Est. 2017
Fluidstack accelerates the world’s most ambitious AI projects by removing the bottlenecks to compute. Partnering with leading AI labs, governments, and enterprises, we deploy scaled infrastructure at…
📋 Job Overview
Fluidstack is seeking a Security Engineer, Threat Detection to build the detection engineering function from the ground up. The role involves telemetry pipelines, detection content, alert routing, and response runbooks, with coverage against a threat model. The company is focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack.
🏢 About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
🎯 The Role
The Security & Corp IT team protects the people, systems, and infrastructure behind the largest AI compute buildout in history. Examples of key problems the team is working on include building detection and response coverage across cloud (AWS/GCP/Azure), endpoint, and identity telemetry for a company whose attack surface spans corporate IT and gigawatt-scale data center infrastructure.
✅ Key Responsibilities
Build the detection engineering function from the ground up: telemetry pipelines, detection content, alert routing, and response runbooks, with coverage you can defend against a threat model, not just a tool checklist.
Own detection-as-code end to end, writing detections across cloud and endpoint sources with tests, version control, and CI so a bad rule never ships silently.
Lead incident response for high-severity events, driving containment and root cause, and closing out each incident with detections that catch the same class of attack next time.
Drive automation of triage and enrichment in Python (or similar) so alert volume scales without proportional headcount.
Partner directly with leadership on security strategy, translating threat landscape and detection gaps into a prioritized roadmap with clear tradeoffs.
Work across corp IT and infrastructure teams to get the telemetry, logging, and access you need, and to fix the root causes your detections keep surfacing.
📌 Required Qualifications
8+ years in security operations, detection engineering, or incident response, with time spent at a high-growth tech company, cloud-native infrastructure provider, or top-tier MDR/threat intel firm.
Deep hands-on experience writing detections against cloud telemetry (AWS, GCP, or Azure control plane and audit logs) and endpoint telemetry (EDR event streams, OS-level signals).
Strong scripting and automation skills in Python or similar, enough to build and maintain detection-as-code pipelines yourself rather than spec them for someone else.
Incident response experience at a company operating at significant scale, where you led response under pressure and your postmortems changed how the company operates.
You operate as a technical lead without heavy management overhead: you set direction, make the calls, and do the work.
You work well across corp IT and infrastructure teams in a fast-moving environment, and you get telemetry and fixes shipped by making the case, not by escalating.
⭐ Desirable Experience
Experience securing GPU clusters, HPC environments, or physical data center infrastructure, or contributions to open-source detection content.
🎁 Benefits
Compensation: $224K – $344K • Offers Equity
Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.
🛂 Visa & Eligibility
No specific visa or eligibility information provided.
Please let Fluidstack know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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