Staff Security Engineer, Detection & Response

Zürich · 7+ years experience · Hybrid · Posted Sep 28, 2026

At a glance

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As Anthropic's models grow more capable, the Detection and Response (D&R) team spots threats and responds to incidents across every layer of the technology stack.
Being an early-stage team, this role helps build detection and response capabilities from the ground up while working closely with security and research teams.

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

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
Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role

7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience
Security operations or investigations involving large-scale Kubernetes environments
Experience analyzing attack behavior and prototyping high-quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, or forensics
Experience contributing to a high-growth startup environment

Location-based hybrid policy expecting all staff to be in one of the offices at least 25% of the time, though some roles may require more time in offices.