Anthropic's Detection Platform team is building the next-generation Linux endpoint security system that protects our AI research and production infrastructure. This senior engineer will architect and implement node-layer security sensors, develop kernel-based detection systems for ML workloads, and build tooling that leverages Claude to transform how security operations work. The role involves designing low‑overhead systems for a rapidly growing fleet, collaborating with security and infrastructure engineers, and shaping the technical direction of endpoint detection at Anthropic.
Senior Security Software Engineer, Linux Kernel Security - Nodes & Sensors at Anthropic
Hybrid - Zürich, CH
More jobs at AnthropicRequirements
Skills
- Background in software engineering with a focus on security, infrastructure, Linux internals, and/or operating systems
- Ability to write maintainable and secure code in Rust and/or C/C++
- Strong understanding of operating system internals and OS security primitives
- Experience with test-driven development and CI/CD workflows
- Experience partnering with security teams to translate requirements into technical solutions
- Track record of leading technical projects with minimal guidance and bringing clarity to ambiguous problems
- 7+ years of software engineering experience, with significant time spent on security, infrastructure, or operating systems work
- Direct experience with eBPF and kernel-level instrumentation
- Experience with detection-as-code workflows
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation
- Background building security tooling from the ground up
- Experience implementing security monitoring solutions (SIEM, log aggregation, EDR)
- Background in detection engineering or security operations
- Experience with SOAR platform or security automation development
- Experience with data lake and database architecture, or query optimization over large datasets
- Experience with API design and internal platform development
- Track record of applying ML or AI to security problems
- Experience scaling security operations in a high-growth environment
- Experience contributing to hiring, mentorship, and engineering culture on a security team
Responsibilities
- Build kernel-level security detections for our AI platform, including eBPF-based sensors for Linux endpoints
- Design and implement scalable data pipelines for ingesting and processing security telemetry across our infrastructure
- Architect monitoring solutions for production systems that minimize performance impact on ML workloads
- Prototype new security tooling and analytics capabilities, including applications of Claude to detection and response workflows
- Partner with security and infrastructure teams to translate requirements into reliable, maintainable systems
- Contribute to the growth of the Security team through code reviews, mentorship, and hiring
- Participate in an on-call rotation
Technologies
RustC/C++eBPFLinux kernelTerraformCloudFormationSIEMlog aggregationEDRSOARdata lakedatabase architecturequery optimizationAPI designinternal platform developmentMLAIkernel instrumentationdetection-as-codeinfrastructure-as-code
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