Anthropic
Staff+ Software Engineer, Product Sandboxing
San Francisco, CA | New York City, NY | Seattle, WA. Posted 2 months ago
The role
You will build and run the secure execution environment for Claude's agentic capabilities. You will scope complex projects, drive cross-org alignment, and make architectural decisions to scale products.
What you will do
- Independently scope complex, multi-month projects
- Drive cross-org alignment through ambiguous problem spaces
- Make architectural decisions to shape how Anthropic builds and scales products
- Partner directly with research to productize cutting-edge capabilities
- Take full ownership of work from design through deployment and operations
Required qualifications
- Minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems
- Strong fundamentals in service-oriented architectures, networking, and systems design
- Proficient in Python, Go, Rust, or similar systems languages
- Experience with cloud infrastructure (GCP, AWS, or Azure)
- Experience with container orchestration (Kubernetes) and/or multi-cloud networking
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
Nice to have
- Experience operating at tech lead level or equivalent
- Experience with distributed systems, cloud-native products, developer tools, or external developer facing products
- Experience having owned both the technical vision and execution of a foundational platform system end to end
- Experience operating in 0 to 1 and more mature team or company settings
Benefits
- Competitive compensation
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Office space
Before you apply
- We do sponsor visas
- Applications will be reviewed on a rolling basis
About the company
Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.