
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.
We’re looking for a Senior Staff Engineer to join the Security Products team, focusing specifically on building next-generation AI SOC capabilities.
While upstream detection and streaming data ingestion are powered by Cribl Detect, this role owns everything that happens post-detection. You will architect and build the autonomous reasoning, multi-agent investigation frameworks, contextual enrichment layers, and intelligent response orchestrations that allow modern SOCs to operate at machine speed.
As An Active Member Of Our Team, You Will...
- Architect post-detection workflows, including autonomous triage, agentic investigation, evidence synthesis, and containment orchestration.
- Build production-grade reasoning systems using LLMs, embeddings, and context graphs to formulate hypotheses, gather evidence, and deliver explainable verdicts.
- Work closely with Cribl Detect to ingest high-fidelity detection signals and trigger automated investigations and responses.
- Explore agentic paradigms, multi-agent frameworks, and natural language SOC interfaces, rapidly validating concepts through functional prototypes.
- Write core abstractions, design agent communication protocols, review critical code, and establish strict benchmarks for model accuracy, latency, and system reliability.
- Build safe execution frameworks offering transparent reasoning trails, clear chains of custody, and human-on-the-loop controls.
- Partner tightly with product managers, security researchers, and stakeholders to translate ambiguous ideas into clear technical strategies and executable plans.
- Guide engineering talent and represent Cribl’s AI SOC vision internally and externally via architecture reviews, technical blogs, and discussions.
- This position will require stand-by, on-call, or off-hours duties.
What You Bring
- Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent experience (Master’s preferred) with 12+ years of experience building scale production software.
- Demonstrated experience leading engineering initiatives and directly building AI SOC, SOAR, or post-detection automation capabilities at scale.
- Deep, practical experience building and deploying production-grade AI systems—utilizing LLM orchestration frameworks, agent swarms, vector databases/embeddings, dynamic tool calling, and RAG architectures in enterprise software.
- Track record of designing and operating scalable, low-latency distributed systems capable of handling asynchronous event processing and complex, multi-system workflow state machines.
- Deep understanding of the security analyst workflow and frameworks like MITRE ATT&CK.
- Strong experience designing robust, extensible API frameworks to interface with third-party security platforms (EDR, Identity Providers, Cloud Infrastructure, SIEM/SOAR).
- Proven capability to lead ambiguous, highly autonomous initiatives from abstract concept to production rollout.
- Experience with JavaScript/TypeScript, NodeJS, or Go/Python in enterprise systems.
- Background in graph databases or contextual graph models used to represent identities, endpoints, and threat histories.
- Active open-source contributions in the AI, agentic automation, or security space.
Timezone overlap
UTC-8–-4
Open to
US
Sign in to track applications and earn points.