Staff Detection Engineer
Fluidstack1 day ago
Base Salary
$224k - $344k/yr
Responsibilities
- Build the detection engineering function, including telemetry pipelines, detection content, alert routing, and response runbooks.
- Own detection-as-code across cloud and endpoint sources with testing, version control, and CI workflows.
- Lead containment, root-cause analysis, and postmortems for high-severity security incidents.
- Automate alert triage and enrichment using Python or similar scripting technologies.
- Partner with leadership on security strategy, threat modeling, detection gaps, and roadmap prioritization.
- Work with corporate IT and infrastructure teams to obtain telemetry, logging, and access and address underlying security issues.
Requirements
- 8+ years of experience in security operations, detection engineering, or incident response.
- Experience building or scaling a detection engineering function, including its program, pipeline, and security coverage.
- Deep hands-on experience writing detections against AWS, GCP, or Azure control-plane and audit logs and endpoint telemetry.
- Strong Python or similar scripting and automation skills for building and maintaining detection-as-code pipelines.
- Incident response experience at significant scale, including leading response under pressure and driving operational improvements through postmortems.
- Ability to operate as a technical lead by setting direction, making decisions, and contributing hands-on without heavy management overhead.
- Ability to collaborate effectively with corporate IT and infrastructure teams in a fast-moving environment.
- Preferred experience securing GPU clusters, HPC environments, or physical data center infrastructure, or contributing to Sigma and community detection content.
Benefits
- Fluidstack states its commitment to pay equity and transparency.
- Fluidstack is an Equal Employment Opportunity Employer.
Tech Stack
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.