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Fluidstack

Senior Detection Engineer

Reposted 2 Days Ago
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In-Office
San Francisco, CA, USA
147K-224K Annually
Senior level
In-Office
San Francisco, CA, USA
147K-224K Annually
Senior level
Lead detection engineering end-to-end: threat modeling, detection-as-code, deployment, tuning, and retirement. Build and maintain SIEM/EDR pipelines, run threat hunts, automate triage, and lead incident response with root-cause writeups tied to durable detections.
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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!

How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

  • Velocity. We drive everything forward as fast as possible.

  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

The Security & Corp IT Team

The Security & Corp IT team protects the infrastructure behind the largest AI compute buildout in history, from corporate endpoints to the environments running frontier AI workloads.

Examples of key problems the team is working on:

  • Build detection and response coverage across corporate, cloud, and data center environments that are growing faster than any off-the-shelf playbook assumes.

  • Secure the systems and networks that frontier AI labs depend on, where downtime and compromise both carry real cost.

  • Stand up security tooling, identity, and endpoint management for a company that adds people, sites, and vendors every month.

  • Turn incident learnings and threat intel into durable detection logic instead of one-off fixes.

Role Scope
  • Own the detection engineering program end to end: threat modeling, detection design, deployment, tuning, and retirement, with coverage mapped to MITRE ATT&CK and gaps documented rather than assumed away.

  • Build detection-as-code pipelines so every rule is version-controlled, tested, and peer-reviewed before it ships, and false-positive rates are measured, not guessed.

  • Run threat hunts against real adversary behavior in our cloud, SaaS, and data center environments, and convert findings into repeatable detections.

  • Drive SIEM and EDR pipeline health: log source onboarding, normalization, and alert quality good enough that on-call responders trust what pages them.

  • Lead triage and response for the alerts you build, and close out incidents with root-cause writeups that change the detection stack, not just the ticket queue.

  • Build automation that removes manual triage steps, so the team's alert load scales slower than the company does.

What We're Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • 5+ years in detection engineering or threat hunting inside a mature security operations org (cloud-native infrastructure, SaaS, or fintech).

  • Deep hands-on experience with SIEM and EDR tooling: Splunk, Elastic, CrowdStrike, or equivalent, including query languages and pipeline tuning, not just console use.

  • You've written and maintained detection logic mapped to MITRE ATT&CK against real adversary behavior, and you can point to detections that caught something.

  • Strong scripting and automation skills (Python, SQL, or similar) and a detection-as-code workflow you'd defend: tests, review, and rollback included.

  • You know the difference between a noisy rule and a broken one, and you tune or kill detections before responders learn to ignore them.

  • You operate well with minimal process: you can scope your own work, ship without a mature SOC around you, and build the process you need as you go.

  • You write clearly enough that your runbooks and incident reports work when you're asleep.

  • Bonus: experience securing physical infrastructure or OT/data center environments, purple team experience, or contributions to open-source detection content (Sigma, detection rule repos).

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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