Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS @ 6
Azure @ 6
CI/CD @ 6
GCP @ 6
Go @ 7
Kubernetes @ 6
Linux @ 6
Machine Learning
Python @ 7
Security @ 6
macOS @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s Security Engineering team safeguards its AI systems and maintains the trust of its users and society. The team develops critical security infrastructure, builds secure development practices, and partners with research and product teams to operate a world-class security organization.
Responsibilities
- Conduct red and purple team engagements simulating advanced threat actors across cloud infrastructure, endpoints, and bare metal deployments.
- Penetration test specific, high-value deployments.
- Contribute to AI-assisted security testing tooling and workflows.
- Work cross-functionally with security and engineering teams, particularly on AI-specific attack scenarios.
- Document and present findings to technical and executive audiences.
- Translate attack narratives into actionable risk insights that inform security roadmaps.
Requirements
- 5+ years of hands-on experience in red teaming and offensive security operations.
- Deep expertise in at least two of the following areas: macOS security, Linux security, cloud security using GCP, AWS, or Azure, Kubernetes, and CI/CD pipelines.
- A track record of discovering novel attack vectors and creatively chaining vulnerabilities.
- Experience conducting adversarial simulations against well-defended environments.
- Strong engineering skills in Python, Go, or a similar language.
- Ability to write clear findings that drive action and help teams understand risk and prioritize fixes.
- A collaborative approach and experience working closely with blue teams.
- Bachelor’s degree or an equivalent combination of education, training, and experience. The field of study should be relevant to the role through coursework, training, or professional experience.
Preferred Experience
- Prior work at organizations with state-actor threat models.
- Interest in AI safety and the role of security engineering in responsible AI development.
- Experience testing AI/ML systems or agentic workflows.
- Familiarity with detection engineering and SIEM/EDR platforms from the defensive side.
- Experience with data center security or hardware-based attacks.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration. Staff are currently expected to work from one of Anthropic’s offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and makes reasonable efforts to support visa applications with the assistance of an immigration lawyer.