Senior Enterprise Security Engineer - LLM-Driven Detection

Material Security

Finland

Remote

EUR 199,000 - 217,000

Full time

21 hours ago
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Job summary

Material Security, a remote-first security company with an SF office, seeks a senior security engineer to own detection and response across corporate telemetry and content. You will lead the design of LLM-driven triage workflows, secure endpoints on a Mac fleet, and govern identity, SaaS, and Google Workspace security while aligning with production deployments.

The role emphasizes collaboration, practical hands-on work, and measurable improvements in detection fidelity and incident response

Qualifications

  • 6+ years in corporate security with hands-on SIEM ownership.
  • Deep understanding of OAuth, SAML/OIDC, and token lifecycles.
  • Experience with Mac fleet management and EDR.
  • Experience building or evaluating LLM-driven workflows.
  • Collaborative, proactive, engineering-minded.

Responsibilities

  • Own detection and response for corporate telemetry and content.
  • Design and build the LLM-driven triage agent with real-time review and measured accuracy.
  • Manage Mac endpoint EDR and enforce BYOD posture.
  • Maintain identity and SaaS access governance and automate reviews.
  • Govern Google Workspace security, Apps Script governance, and DLP.
  • Bridge corporate and production security with proper logging and just-in-time access.

Skills

SIEM ownership
Python/Go/TS
OAuth/SAML/OIDC
Mac fleet management
LLM-driven workflows
Security product knowledge
Collaboration

Tools

Python
Go
TypeScript

Job description

Material Security, a remote-first security company with an SF office, seeks a senior security engineer to own detection and response across corporate telemetry and content. You will lead the design of LLM-driven triage workflows, secure endpoints on a Mac fleet, and govern identity, SaaS, and Google Workspace security while aligning with production deployments.

The role emphasizes collaboration, practical hands-on work, and measurable improvements in detection fidelity and incident response

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