Software Security Engineer

Core responsibilities:

• Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls
• Design secure-by-design workflows, secure CI/CD pipelines across services, and help build secure cloud infrastructure with expertise in various cloud environments, Kubernetes security, container orchestration, and identity management
• Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows
• Apply deep expertise in threat modeling and risk assessment to secure complex multi-cloud environments and mentor engineers while contributing to hiring and growth of the Security team

This role creates positive change by safeguarding AI systems and maintaining trust of users and society at large, contributing to the development of reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

Required qualifications:

• 5-15+ years of software engineering experience implementing and maintaining critical systems at scale
• Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
• Experience managing infrastructure at scale with DevOps and cloud automation best practices
• Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
• Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
• Outstanding communication skills, translating technical concepts effectively across all organizational levels
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Strong systems thinking with ability to identify and mitigate risks in complex environments
• Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams
• Experience supporting fast-paced startup engineering teams
• Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values

Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, aiming for AI to be safe and beneficial for users and society as a whole, with a team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.