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oauth llm mcp ai security secrets managementπ Description
- AI Security Architecture & Governance: Define standards for Cribl's internal AI.
- Shadow AI Discovery & Remediation: Monitor tools, licenses, tokens, MCP servers; remediate risks.
- MCP Security & Registry Management: Vet MCP servers, maintain an approved registry.
- Secrets, Identity & Token Protection: Secure secrets, non-human identities, and OAuth access.
- Prompt Injection Defense & Safe Execution: Guardrails for prompt injection and approvals.
- AI Telemetry, Detection & Incident Response: Build telemetry and response patterns for AI security events.
π― Requirements
- Staff-level security engineering experience: 7+ years in security engineering with scalable controls.
- AI security fluency: Hands-on with LLMs/agents, prompt-injection threat models, tooling.
- Identity, secrets, and governance depth: OAuth, service identities, RBAC/ABAC, audits.
- Security architecture judgment: Designs risk-tiered controls and guardrails.
- Detection and incident response mindset: Telemetry, detections, investigations, and response.
- Compliance and customer trust orientation: Familiar with NIST AI RMF, ISO 42001, GDPR, SOC 2.
π Benefits
- Health, dental, and vision insurance.
- Short-term disability and life insurance.
- Paid holidays and PTO.
- Fertility treatment benefit.
- 401(k), equity, and discretionary bonus eligibility.
- Remote-first culture with time-zone flexibility.
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