Security Software Engineer, Detection & Response Platform

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><div> <h2>About the role</h2> <p>We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.</p> </div> <h2>Responsibilities:</h2> <ul> <li data-stringify-indent="0" data-stringify-border="0">Build AI-powered platform responsible for all aspects of D&amp;R capabilities from detection development to incident response</li> <li data-stringify-indent="0" data-stringify-border="0">Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure</li> <li data-stringify-indent="0" data-stringify-border="0">Architect solutions for storing and efficiently querying large volumes of security-relevant data</li> <li data-stringify-indent="0" data-stringify-border="0">Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities</li> <li data-stringify-indent="0" data-stringify-border="0">Work closely with security and infrastructure teams to understand requirements and deliver solutions</li> <li data-stringify-indent="0" data-stringify-border="0">Mentor engineers and contribute to hiring and growth of the Security team</li> <li>Participate in on-call shifts</li> </ul> <h2>You may be a good fit if you:</h2> <ul> <li>7+ years of experience in software eng