Threat Detection Engineer

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Why You’ll Love This Role

Cribl builds telemetry infrastructure for some of the world's biggest security teams. Now we're looking for someone to protect Cribl itself. You'll join Cribl's internal security team, Team Alpine, to run detection as code. Our team runs a detection as code pipeline where rules live in Git, are tested in CI, and deploy to our SIEM automatically. AI agents watch for coverage gaps and help review every change.

This is a hands-on senior role covering the whole detection lifecycle. You'll hunt for threats nobody has written a rule for yet, turn what you find into detections, and keep the log pipelines behind those detections healthy. For the first [6–12] months you'll also be a core part of our incident response rotation while we build out that function. You'll lead investigations, and what you learn will feed straight back into the detections. 

If you want your work to show up in production quickly, and you like owning the data as well as the rules, this role is for you. You will partner closely with Product Security, IT, and Legal teams, and report to the Sr. Director, Security Engineering and Operations under the CISO.

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As An Active Member Of Our Team, You Will…**

Detection Engineering

• Design, build, test, and tune detections as code (KQL) through a GitOps workflow: issue, pull request, unit and back-testing, then automated deployment
• Map detections to MITRE ATT&CK, find coverage gaps, and decide where to invest next based on our threat model
• Review new community and vendor rule releases, such as Sigma, and decide what to adopt, adapt, or skip
• Cut alert noise by tuning, retiring rules that no longer earn their place, and tracking detection quality metrics

Threat Hunting

• Plan and run hypothesis-driven hunts across cloud, SaaS, identity, endpoint, and corporate infrastructure telemetry