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Security Engineer (Detection and Response)
Notion · Ireland
About The Role
Join Notion, a company trusted by millions for their important work. As a Security Engineer focused on Detection and Response, you will build and operate systems to detect and respond to attacks in Notion's cloud-native environment. You will work closely with various teams, participate in incident response, and help shape the future of detection and response engineering at Notion.
- Design and maintain high-signal detections across cloud, identity, endpoints, and SaaS environments.
- Build and improve the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety.
- Translate threat intelligence and adversary TTPs into durable detections, telemetry requirements, and response improvements.
- Are fluent in one or more detection languages such as Sigma, KQL, SPL, YARA-L, EQL, or Panther
- Communicate clearly through design docs, runbooks, and incident reports, and can drive projects independently
- Have strong cloud security experience in AWS, GCP, or Azure, including identity-focused attack detection
- Are hands-on with SIEM, EDR, and SOAR platforms in large-scale environments
- Have 6+ years of experience in detection engineering, security operations, incident response, or threat hunting
- Have an offensive security mindset and have led purple team, blue team, or adversary emulation exercises that improved detections and telemetry
- Have built and operated production detections with strong signal quality and sustainable tuning processes
- You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work
- We hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply
- Kubernetes or container detection experience
- Contributions to the detection engineering community through research, tooling, or talks
- Experience at a high-growth startup or AI company
- Experience applying LLMs or agent-style tooling to security workflows
- Experience securing AI-enabled systems or endpoint tooling
- Background in threat intelligence, malware analysis, or digital forensics
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