Staff Software Engineer — Remote Agentic AI Platform

93226790

California

Remote

USD 120,000 - 180,000

Full time

13 days ago

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Job summary

Cribl is seeking a staff-level software engineer to help scale our AI-enabled platform. You will design and operate distributed agentic workflows, focusing on intent engineering, orchestration, and secure production runtimes in a remote US setting.

The role requires strong TypeScript/Node.js skills, experience with CI/CD, observability, and production deployments. You will collaborate with engineering partners and drive adoption of robust, scalable solutions across teams.

Qualifications

  • Staff-level (or equivalent) professional software engineering experience building and operating production distributed systems.
  • Strong TypeScript (and modern JavaScript) with Node.js shipping production services.
  • Experience with automated pipelines, progressive delivery, monitoring, and safe rollouts.
  • Hands-on fluency with modern LLM and agentic coding workflows in production.

Responsibilities

  • Design, build, and operate production agentic workflows and the platform harnesses they run on (orchestration, shared context, integrations).
  • Practice intent engineering: translate goals into specifications and acceptance criteria for AI systems.
  • Stay current on AI tooling and evangelize patterns across Engineering for adoption.
  • Own critical pieces of agent runtime: scheduling, isolation, environments, secrets, and production operations.

Skills

TypeScript
Node.js
CI/CD
Observability
Security-minded

Tools

Kubernetes
Terraform
AWS

Job description

Cribl is seeking a staff-level software engineer to help scale our AI-enabled platform. You will design and operate distributed agentic workflows, focusing on intent engineering, orchestration, and secure production runtimes in a remote US setting.

The role requires strong TypeScript/Node.js skills, experience with CI/CD, observability, and production deployments. You will collaborate with engineering partners and drive adoption of robust, scalable solutions across teams.

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