Sr. Staff Software Engineer, Cribl Detect

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’s Engineering org is where new product ideas come to life. We move fast, try things out, and aren’t afraid to break a few things along the way if it means learning faster and building something better. This is where we experiment, prototype, and turn rough ideas into real products that deliver value to customers.

We’re looking for a Senior Staff Software 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.

This is a fully remote role, and Cribl is a remote-first company. Our culture embraces the diversity of team members spread across the globe.

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.

If You’ve Got It - We Want It

• 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 (e.g., automated triage, multi-agent investigation systems, or response platforms).

• 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…