Security Engineer, Detection & Response

About the Role

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. At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.

Responsibilities

• Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
• Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
• Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
• Review Incident Response metrics and procedures and drive continuous improvement
• Work cross functionally with other security and engineering teams
• Note: This position will require participation in an on-call rotation

Requirements

• 3+ years of software engineering experience, with security experience a plus and/or
• 5+ years of detection engineering, incident response, or threat hunting experience
• A solid understanding of cloud environments and operations
• Experience working with engineering teams in a SaaS environment
• Exceptional communication and collaboration skills
• An ability to lead projects with little guidance
• The ability to pick up new languages and technologies quickly
• Experience handling security incidents and investigating anomalies as part of a team
• Knowledge of EDR, SIEM, SOAR, or related security tools
• At least a Bachelor's degree in a related field or equivalent experience.

Qualifications

• Experience performing security operations or investigations involving large-scale Kubernetes environments
• A high level of proficiency in Python and query languages such as SQL
• Experience analyzing attack behavior and prototyping high quality detections
• Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
• Experience contributing to a high growth startup environment