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You&#39;ll partner closely with security and infrastructure engineers and help shape the technical direction of endpoint detection at Anthropic.</p>\n<p>Key responsibilities include building kernel-level security detections for our AI platform, designing and implementing scalable data pipelines for ingesting and processing security telemetry, and architecting monitoring solutions for production systems that minimize performance impact on ML workloads. You&#39;ll also prototype new security tooling and analytics capabilities, including applications of Claude to detection and response workflows.</p>\n<p>To succeed in this role, you&#39;ll need a background in software engineering with a focus on security, infrastructure, Linux internals, and/or operating systems. You should be able to write maintainable and secure code in Rust and/or C/C++. Strong understanding of operating system internals and OS security primitives is essential. Experience with test-driven development and CI/CD workflows is also necessary. Additionally, you&#39;ll need to have experience partnering with security teams to translate requirements into technical solutions and a track record of leading technical projects with minimal guidance and bringing clarity to ambiguous problems.</p>\n<p>Preferred qualifications include direct experience with eBPF and kernel-level instrumentation, experience with detection-as-code workflows, and experience implementing security monitoring solutions (SIEM, log aggregation, EDR). 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