Senior Detection Engineer

Fluidstack

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in detection engineering or threat hunting in a mature security environment.
  • Hands-on experience with SIEM and EDR tools like Splunk or Elastic, focusing on pipeline tuning.
  • Experience writing detection logic aligned with MITRE ATT&CK that has been effective in real scenarios.
  • Strong skills in scripting and automation using Python, SQL, or similar languages.
  • Ability to distinguish between effective and ineffective detection rules, actively tuning them.
  • Comfortable working autonomously and adapting processes as needed.
  • Excellent written communication skills for effective documentation.

Responsibilities

  • Own the end-to-end detection engineering program including threat modeling and deployment.
  • Develop version-controlled detection-as-code pipelines with peer review processes.
  • Conduct threat hunts using real adversary actions to create repeatable detection methods.
  • Maintain SIEM and EDR health, ensuring reliable alert quality for responders.
  • Lead incident triage for your alerts, focusing on root-cause analysis to improve detection.
  • Automate manual triage tasks to efficiently scale with the company's growth.

Benefits

  • Flexible working conditions with options for remote work.
  • Access to the latest security tools and technologies.
  • Opportunities for continuous professional development and learning.
  • Support for contributing to open-source projects related to detection.
  • An inclusive company culture that values individual contributions.
Full Job Description
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.

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