Staff Software Engineer — Agentic AI Platform

Cribl; United States; Remote; USD 210,000 - 245,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Equity

Job summary

Cribl is hiring to build its AI platform and productivity rails, focusing on intent engineering, orchestration, and agent infrastructure that engineers rely on across the software delivery lifecycle.

You will work with a small, high-impact team to design, implement, test, and deploy production systems with strong guardrails and observability, driving adoption across engineering groups.

Qualifications

• Staff-level (or equivalent) professional software engineering experience building and operating production distributed systems.
• Strong TypeScript (and modern JavaScript) plus Node.js experience shipping production services; polyglot comfort is welcome, TypeScript is the primary stack for this team.

Responsibilities

• Design, build, and operate production agentic workflows and the platform harnesses they run on (orchestration, tool integrations, shared context, extension points for other teams).
• Practice intent engineering: turn goals into clear specifications, rules, constraints, and acceptance criteria that AI systems can execute reliably.
• Stay current on AI tooling and practices, and evangelize what works across Engineering so partners adopt proven patterns.
• Engage in design discussions and healthy debate while the direction is open, then pivot into implementation once the team decides.
• Build observability and guardrails: tracing, regression detection, human-in-the-loop controls, safe rollout, operability for agentic systems.

Skills

TypeScript

Node.js

Production systems

Observability

Security best practices

Team collaboration

Tools

Kubernetes

Terraform

Temporal

AWS

CI/CD

Job description

Cribl is hiring to build its AI platform and productivity rails, focusing on intent engineering, orchestration, and agent infrastructure that engineers rely on across the software delivery lifecycle.

You will work with a small, high-impact team to design, implement, test, and deploy production systems with strong guardrails and observability, driving adoption across engineering groups.