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Anthropic

Security Engineer, Offensive Security

Anthropic

Published 11 May 2026
Travel Required | San Francisco, CA | Seattle, WA
300K - 320K USD Annual
Full Time

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Role Highlights

Languages used

Python
GO

Key skills

Computer Science
CICD
Cloud Infrastructure
Security Engineer
Cloud Security
Security Testing
AI
Research
Machine Learning
SIEM
EDR
Data
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

IOS
Metal
MacOS
Linux
GCP
AWS
Azure
Kubernetes
HTTP

Description

The role involves conducting red and purple team engagements to simulate advanced threat actors across cloud infrastructure, endpoints, and bare metal deployments. The individual will perform penetration testing on high-value deployments and contribute to the development of security testing tools and workflows. Collaboration with cross-functional security and engineering teams is required to address specific attack scenarios. The position also entails documenting and presenting findings to technical and executive audiences to translate attack narratives into actionable risk insights.

Required Qualifications and Skills

Candidates must possess at least five years of hands-on experience in red teaming and offensive security operations. Expertise is required in at least two areas including macOS security, Linux security, cloud security, Kubernetes, or CI/CD pipelines. Strong engineering skills in languages such as Python or Go are necessary, along with the ability to document findings clearly for diverse audiences. A minimum of a bachelor's degree or an equivalent combination of education, training, and experience is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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