Sr. Staff Software Engineer, Cribl Detect

93226790; California; Remote; USD 180,000 - 240,000; Full time

Job summary

Cribl is seeking a Senior Staff Engineer to join the Security Products team, focusing on building next-generation AI SOC capabilities. You will architect and build autonomous reasoning, multi-agent investigations, and intelligent response orchestrations for post-detection workflows in a fully remote setting.

You will partner with product managers and researchers, review code, and ensure low-latency, scalable systems, while standing by for on-call duties.

Qualifications

• Bachelor’s degree required; Master’s preferred.
• 12+ years building scale production software.
• Experience leading AI SOC / post-detection automation initiatives at scale.

Responsibilities

• 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.

Skills

AI SOC architecture

Post-detection automation

LLM orchestration

Agent frameworks

Context graphs

Distributed systems

Security workflows

API design

JavaScript/TypeScript

Go/Python

Education

Bachelor’s degree in Computer Science / Electrical Engineering or equivalent

Master’s degree preferred

Tools

NodeJS

Go

Python

Graph databases

Vector databases

Job description

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 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 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.
• High ownership mindset with a bias toward quality, performance, and simplicity
• Clear, effective communicator—able to explain complex technical ideas to engineers, partners, and customers in remote, distributed teams
• Direct experience building autonomous agent frameworks for security context.
• 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.
• No fear! Speak your mind, foster open debate, and bring a low‑ego mindset.
• Good jokes—or better yet, bad jokes.
• A healthy appreciation for goats #LI-EL1 #LI-Remote