Staff Plus Software Engineer (Distributed Systems)

Join Anthropic, an AI safety and research company, as a Staff Plus Software Engineer on the Safeguards team. In this role, you will build distributed and scalable systems to monitor AI models, prevent misuse, and ensure user well-being. You will independently scope and lead complex infrastructure projects, develop monitoring systems, manage deployments across multiple clouds, and design a secure runtime for AI agents. You will also collaborate with engineers, researchers, and legal teams to ensure quick and trusted detection work.

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system.
• Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review.
• Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls.

• Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
• Proficiency in Python, Distributed Systems, and Infrastructure as Code
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
• Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust
• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• Have experience with integrity, spam, fraud, or abuse detection and mitigation
• 8+ years of experience in a software engineering position, not including internships
• Have experience running LLM-based agents in production
• Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency