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Anthropic

Senior Software Security Engineer

Anthropic

Published 11 May 2026
San Francisco, CA, USA
320K - 405K USD Annual
Full Time

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Role Highlights

Languages used

Python
GO
SAML

Key skills

Training Data
Computer Science
CICD
Security Engineer
Cloud Environments
Cloud Security
Network Security
Threat Modeling
AI
Authentication
Architecture
Infrastructure
Cluster
IAM
Modelling
Kernel
Research
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

RBAC
Kubernetes
OAuth
HTTP

Description

The role involves building and maintaining identity and secrets management systems across multi-cloud environments. Responsibilities include contributing to cluster security controls and implementing cloud security measures such as IAM and network segmentation. The position requires designing secure development frameworks to facilitate secure coding practices among engineering teams. Additionally, the role focuses on hardening CI/CD pipelines against supply chain attacks and identifying security gaps through code review and threat modeling. The work also entails continuous cloud security posture management through infrastructure-as-code scanning and automated remediation.

Required Qualifications and Skills

Candidates must possess at least 5 years of software engineering experience in production security systems. A bachelor's degree in Computer Science or equivalent industry experience is required. Proficiency in Python or a systems language such as Go or Rust is necessary. Applicants should demonstrate a track record of end-to-end problem ownership and possess strong communication skills.

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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