Notion
Security Engineer, Detection and Response
About this role
Notion seeks a Detection Engineer to build and operate detection and response systems protecting millions of users on their cloud-native platform. You'll author high-signal detections, improve detection infrastructure, participate in incident response, and help scale detection capabilities across the organization.
What you'll do
- Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments
- Contribute to detection platform including rule lifecycle management, tuning, measurement, and safe rollouts
- Create tooling and automation for triage, enrichment, investigation, and detection authoring
- Convert threat intelligence and adversary TTPs into detections and telemetry requirements
- Participate in investigations, incident response, and postmortems to drive lasting improvements
- Join shared on-call rotation and help define key metrics like coverage, MTTD, and alert quality
What they're looking for
- Detection or query languages (Sigma, KQL, SPL, YARA-L, EQL, Panther) or SQL/Python
- Production detection engineering, security operations, or incident response experience
- Knowledge of attacker behavior and MITRE ATT&CK framework
- Hands-on AWS, GCP, or Azure experience including identity and access logs
- SIEM, EDR, or SOAR tool proficiency
- Technical writing for runbooks, design docs, and incident documentation
- End-to-end project ownership and scoping ability
- Understanding of signal quality and alert noise reduction
Benefits
- Competitive cash compensation and equity
- Onsite role in San Francisco offering collaborative environment
- Mentorship from senior detection and security engineers
- Opportunity to shape security practices at a high-growth AI company
- Access to modern cloud and security tooling at scale
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Notion
Notion builds an AI-powered collaborative workspace platform used by millions for productivity, featuring capabilities like search, automations, and AI-assisted features. The company is hiring software engineers for core product and AI development, technical support engineers for enterprise customers, data platform engineers for foundational systems, and security engineers for infrastructure and AI safety initiatives.
- Website
- notion.so
Likely interview questions
- Walk us through a detection you've written or tuned in production—how did you balance signal quality with reducing false positives?
- Describe your experience with cloud-native security logging and what detection challenges you've encountered in AWS/GCP/Azure environments.