Staff Security Engineer, Detection & Response

About Anthropic

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.

About the role

As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack.

The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams.

Key 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

Minimum 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

Preferred qualifications

• 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

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

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