Senior Detection Engineer

Reposted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
230K-310K Annually
Senior level
Artificial Intelligence • Software
The Role
As a Senior Detection Engineer, lead detection engineering for Fluidstack's IT surface, develop detection tooling using AI, and set engineering standards. Collaborate with security teams and participate in incident response.
Summary Generated by Built In
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 Team

Examples of key problems the team is working on

  • You're securing the frontier of AI. The model weights training on our infrastructure are the most valuable and most targeted artifacts in technology, and we're standing up the compute to hold them faster than anyone ever has. A breach isn't a leak, it's the frontier walking out the door.

  • Build the entire security program from scratch. Most leaders inherit someone else's system and spend a career patching it. Here you own it end to end, bare metal to boardroom, as we scale across continents.

  • Your threat surface is measured in gigawatts. The customers running on our infrastructure are building the most consequential technology in human history, and being responsible for the physical and logical security of that work makes everything else feel small.

Role Scope
  • 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 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 and surfaces coverage gaps, and partner with platform engineers, IR, and threat intel to close the detection-to-response loop.

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.

  • You've built and tuned production detections as code, measured by precision and recall, not alert volume.

  • You work fluently across SIEM, EDR, and cloud/IT telemetry, and you've engineered detection pipelines with CI/CD and peer review.

  • You've applied ML or behavioral analytics to detection at scale, and you're fluent with LLM-based tooling for triage and investigation.

  • You set standards others inherit. You've defined coverage methodology and quality metrics for a detection function, or you're ready to.

  • You do threat research that drives new detections, and you close the loop with incident response and threat intelligence.

  • Bonus: Detection-as-code frameworks (Sigma, Panther). OT or physical-surface detection. Agentic/LLM security tooling. Building a detection function from the ground up.

Salary & Benefits
  • Competitive total compensation package (salary + equity)

  • Retirement or pension plan, in line with local norms

  • Health, dental, and vision insurance

  • Generous PTO policy, in line with local norms

The base salary range for this position is $230,000 - $300,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

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.

Skills Required

  • Strong detection engineering experience
  • Fluency in coding and querying languages
  • Experience handling security incidents
  • Experience with CI/CD in detection
  • Experience with agentic detection tooling and LLMs
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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