Staff AI Platform Engineer, Corporate AI Systems

1 hour, 46 minutes ago
Full-time
Lead
DevOps and Infrastructure
Cribl

Cribl

Cribl provides a unified data management platform specifically designed for IT and security data, enabling users to explore, collect, process, and access their data at scale while offering enhanced control and flexibility in managing their data workflows.

IT Services
251-1K
Founded 2018
$402M raised

Description

  • Define and own the architecture for Cribl’s internal AI platform, including LLM deployments, MCP gateway design, orchestration patterns, and shared services.
  • Establish the identity, access, credential, audit logging, cost control, and token governance model for AI systems.
  • Build safe, reusable sandbox environments and self-service patterns for governed AI experimentation.
  • Design secure integrations between AI tooling and enterprise systems such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, and Glean.
  • Partner with the AI Security team to build secrets management, MCP governance, prompt-injection defenses, AI telemetry, and compliance-ready controls into the platform.
  • Stand up AI-accelerated development capabilities, including AI coding infrastructure, guardrails, DevOps pipeline integration, and secure workflows.
  • Define and track platform metrics such as availability, reliability, usage, adoption, guardrail effectiveness, cost efficiency, and time to enable new use cases.
  • Partner with stakeholders across Enterprise Applications Engineering, Security, IT, and business teams to support platform adoption and measure business impact.
  • Occasionally perform duties outside standard working hours across multiple time zones as needed.

Requirements

  • 7+ years of experience in software engineering, platform engineering, infrastructure engineering, internal developer platforms, or a closely related technical role.
  • Strong hands-on experience with modern LLM and agentic systems, including enterprise AI platforms, API-driven model integration, and retrieval patterns.
  • Proven experience with OAuth, service identities, RBAC/ABAC, scoped permissions, auditability, secrets management, and secure-by-default architecture.
  • Experience designing and operating integrations across enterprise systems, APIs, workflow platforms, and event-driven architectures in complex SaaS environments.
  • Ability to balance speed, reliability, usability, and governance in platform design.
  • Strong written and verbal communication skills for technical and non-technical audiences.
  • Comfort building the first version of operating models, runbooks, patterns, and platform capabilities in ambiguous environments.
  • Outcome-oriented mindset focused on measurable business impact from the platform.
  • Experience with AWS Bedrock, Claude Code, or similar enterprise AI platforms (preferred).
  • Experience with MCP, gateway technologies, API mediation, and tool-use architectures for AI agents (preferred).
  • Familiarity with orchestration and workflow platforms such as n8n and Workato (preferred).
  • Experience deploying guardrails for AI-assisted engineering, including approval flows, policy enforcement, observability, and secure coding controls (preferred).
  • Experience in a high-growth, remote-first B2B SaaS environment (preferred).
  • Comfort partnering closely with Security, IT, GTM Ops, Finance, People, and Support stakeholders (preferred).
  • Good jokes or a love for goats (preferred).

Benefits

  • Salary range of $169,000 to $250,000, depending on geographic location and experience.
  • Health, dental, vision, short-term disability, and life insurance.
  • Paid holidays and paid time off.
  • Fertility treatment benefit.
  • 401(k) retirement plan.
  • Equity.
  • Eligibility for a discretionary company-wide bonus.
  • Remote-first work environment.

Interested in this position?

Apply directly on the company website

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