Staff+ Software Engineer, Product Sandboxing
San Francisco, United States · On-site · Full-time
- Posted 1mo ago
- From Anthropic’s careers page
- Location
- San Francisco, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Staff
- Experience
- 8+ years
- Department
- Software Development
Opens the listing on job-boards.greenhouse.io
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About the role
About the role
We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
What you'll do
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you
- Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
- Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
- Are proficient in Python, Go, Rust, or similar systems languages
- Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
- Take full ownership of your work—from design through deployment and operations
- Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
- Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
Annual Salary:
$405,000 — $485,000 USD
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About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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