Security Engineer, Detection & Response

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.

• 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
• Participation in an on-call rotation is required

• 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

Strong candidates may also have experience with:

• Security operations or investigations involving large-scale Kubernetes environments
• A high level of proficiency in Python and query languages such as SQL
• Analyzing attack behavior and prototyping high quality detections
• Threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
• Contributing to a high growth startup environment

Annual Salary: $300,000—$405,000 USD

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Applications are reviewed on a rolling basis.