Job Summary:
Fluidstack is a company that builds the compute, data centers, and power for artificial superintelligence. As a Senior Detection Engineer, you will lead detection engineering for Fluidstackโs IT surface, setting standards and developing detection tooling while applying AI and machine learning to enhance detection capabilities.
Responsibilities:
โข Lead detection engineering for Fluidstackโs IT surface, including cross-domain detections where IT bridges OT or physical surfaces.
โข Author and tune production detections as code, with peer review, CI/CD, and measured precision and recall.
โข Apply AI and machine learning to build effective detections, including behavioral analytics and anomaly detection at scale.
โข Develop novel detection tooling, including agentic capabilities that use LLMs for triage, investigation, and response.
โข Set the engineering standards, coverage methodology, and quality metrics for the detection engineering discipline.
โข Conduct threat and security research that informs detection logic, surfaces coverage gaps, and drives new detections.
โข Partner with security platform engineers, incident response, and threat intelligence to close the detection-to-response loop.
โข Participate in the on-call rotation for incident response.
Qualifications:
Required:
โข Strong detection engineering experience and have built detection programs at scale.
โข Fluent across coding and querying languages, pick up new ones quickly, and have handled security-relevant data at massive scale and complexity.
โข Written sophisticated detection logic against diverse telemetry, not synthesized it from vendor templates.
โข Handled security incidents and investigated anomalies as part of a team.
โข Set up detection CI/CD, or know how you would build it on day one.
โข Well-founded opinions on what makes a detection program work in production.
โข Read the agent-first thesis as the most interesting design choice in security operations right now.
โข Built or contributed to internal tooling, not just consumed commercial products.
โข See what is needed, scope it yourself, and run with it.
Preferred:
โข Experience building or operating agentic detection tooling using LLMs.
โข Experience designing and tuning LLM-based triage or investigation systems against measured precision and recall.
โข Experience with Python and SQL applied to detection development and security data analysis.
โข Experience at the boundary between detection engineering and security platform engineering at scale.
โข Background in detection or security engineering at GPU compute, HPC, or other hyperscale infrastructure.
Company:
Fluidstack accelerates the worldโs most ambitious AI projects by removing the bottlenecks to compute. Founded in 2017, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.