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Senior/Staff Security Engineer, Detection & Response

Anthropic· Security
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Hybrid (Zürich, CH)Full-timePosted 1w ago

About the role

Senior/Staff-level role leading incident response and building detection and response capabilities for Anthropic's Detection and Response team, focusing on incidents across the technology stack and leveraging tooling including large language models.

Responsibilities

  • Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack
  • Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats
  • Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly
  • Review incident response metrics and procedures, and drive improvements
  • Work across security and engineering teams
  • Take part in an on-call rotation

Qualifications

  • Experience handling security incidents and investigating anomalies as part of a team
  • Working knowledge of EDR, SIEM, SOAR, or similar security tooling
  • A solid understanding of cloud environments and operations
  • Experience working with engineering teams in a SaaS environment
  • Proficiency with a scripting language such as Python and query languages such as SQL
  • Strong communication and collaboration skills
  • Able to lead projects with little guidance
  • Able to pick up new languages and technologies quickly

Skills

Required:Incident responseEDR, SIEM, SOARCloud environmentsSaaS security collaborationPythonSQLCommunication & collaborationProject leadershipLearning agility

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
  • Visa sponsorship support
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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