About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.
As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.
Responsibilities
- Design, build, and operate distributed backend systems that power secure sandboxed execution environments
- Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
- Implement and maintain serverless architectures and container orchestration systems
- Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
- Develop monitoring, alerting, and observability systems to ensure operational excellence
- Participate in on-call rotations and incident response to maintain system reliability
- Contribute to infrastructure automation and tooling that improves developer productivity
- Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees
You may be a good fit if you
- Have 5+ years of experience building and operating backend infrastructure at scale
- Have deep expertise in distributed systems design and implementation
- Have strong operational experience, including debugging complex production issues
- Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
- Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
- Are comfortable working with infrastructure as code and modern DevOps practices
- Have strong programming skills in languages such as Python, Go, or Rust
- Are results-oriented with a bias towards flexibility and impact
- Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have experience with
- Serverless architectures and functions-as-a-se