Sr. Staff Software Engineer, Cribl Detect

Posted Yesterday
Hiring Remotely in United States
Remote
230K-280K Annually
Senior level
Software
Cribl is the AI Platform for Telemetry.
The Role
Architect and build AI-powered SOC capabilities for post-detection workflows, including autonomous triage, multi-agent investigations, contextual enrichment, evidence synthesis, and automated response. Develop production-grade LLM systems, agent frameworks, integrations, and safe execution controls. Lead ambiguous initiatives, establish reliability and performance standards, guide engineers, and collaborate with product and security teams. The role is fully remote but includes standby, on-call, or off-hours duties.
Summary Generated by Built In

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 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

The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.

Base Salary Range
$230,000—$280,000 USD

Bring Your Whole Self

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us. 

Skills Required

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience
  • 12+ years of experience building production software at scale
  • Experience leading engineering initiatives
  • Direct experience building AI SOC, SOAR, or post-detection automation capabilities at scale
  • Production experience with LLM orchestration frameworks, agent swarms, vector databases, embeddings, dynamic tool calling, and RAG architectures
  • Experience designing scalable, low-latency distributed systems with asynchronous event processing and workflow state machines
  • Understanding of security analyst workflows and MITRE ATT&CK
  • Experience designing API frameworks integrating EDR, identity providers, cloud infrastructure, SIEM, and SOAR platforms
  • Experience leading autonomous initiatives from concept through production rollout
  • Strong communication skills for explaining complex technical concepts
  • Direct experience building autonomous agent frameworks for security contexts
  • Experience with JavaScript, TypeScript, Node.js, Go, or Python in enterprise systems
  • Experience with graph databases or contextual graph models representing identities, endpoints, and threat histories
  • Active open-source contributions in AI, agentic automation, or security
  • Master's degree

Cribl Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cribl and has not been reviewed or approved by Cribl.

  • Affordable Benefits — Medical and dental premiums are fully covered for individuals in the U.S., with low costs for dependents, and the plans are described as low‑cost overall. This positions healthcare expenses favorably for many employees.
  • Leave & Time Off Breadth — Unlimited PTO, paid holidays, and periodic company “refresh” or winter‑break days provide ample time away. Flexible schedules further support taking time when needed.
  • Wellbeing & Lifestyle Benefits — A monthly stipend for home office, phone, and internet, plus strong remote‑work setup support, underpin the remote‑first model. Additional perks like recharge days and equipment support bolster day‑to‑day wellbeing.

Cribl Insights

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The Company
HQ: San Francisco, CA
1,000 Employees
Year Founded: 2018

What We Do

Cribl, the AI Platform for Telemetry, empowers enterprises to manage and analyze telemetry for both humans and agents. Trusted by organizations worldwide, including half of the Fortune 100, Cribl bridges the gap between AI ambition and infrastructure reality. No lock-in. No data loss. No compromises. Cribl’s vendor-agnostic platform ensures data remains portable and interoperable. By cost-effectively handling increasing data volume and variety without delay, Cribl gives enterprises the choice, control, and flexibility to build what’s next.

Why Work With Us

We are building the company that will become the industry leader in IT and Security data. But, doing that doesn’t mean we’re always serious. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins at every turn. And more importantly, we laugh a lot.

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