Anthropic’s Detection Platform team is building the next‑generation Linux endpoint security system that protects our AI research and production infrastructure. We’re looking for a senior engineer to 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. This high‑ownership role on a small team requires designing systems that run across our rapidly growing fleet with minimal performance overhead, partnering closely with security and infrastructure engineers, and shaping the technical direction of endpoint detection at Anthropic. The position is based in Zürich, CH and follows a hybrid work model, with staff expected to be in the office at least 25 % of the time.
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++LinuxeBPFTerraformCloudFormationSIEMlog aggregationEDRSOAR platformdata lakedatabase architecturequery optimizationAPI designinternal platform developmentClaudeML workloads
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