✦ Luna Orbit — Cloud & Infrastructure

Infrastructure Engineer, Sandboxing

at Anthropic

📍 San Francisco, CA | New York City, NY | Seattle, WA Hybrid Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category Cloud & Infrastructure

This role involves building and maintaining scalable distributed backend systems supporting AI research, with a focus on cloud infrastructure, containerization, and high-performance computing environments.

  • Build distributed backend systems
  • Manage cloud infrastructure
  • Implement containerization solutions
  • Automate infrastructure deployment
  • Ensure system security and performance

Designs distributed systems on cloud platforms like GCP, AWS, and Azure, utilizing containerization with Docker and Kubernetes, infrastructure as code, and high-performance computing techniques.

The ideal candidate is a mid-level infrastructure engineer with 5+ years of experience in designing distributed backend systems, proficient in cloud platforms like GCP, AWS, and Azure, with strong skills in containerization and infrastructure automation.

building backend infrastructuredistributed systems designcloud platformscontainerizationinfrastructure as codeDevOps
serverless architecturesfunctions-as-a-servicesecurity implicationshigh-performance computingML infrastructure
GCPGoogle Cloud PlatformAWSAzureDockerKubernetes
distributed systemsbackend infrastructurecloud platformsGCPGoogle Cloud PlatformAWSAzureDockerKubernetesinfrastructure as codeDevOpsPythonGoRustLinux internalsnetwork securityhigh-performance computingML infrastructure
distributed systemsbackend infrastructurecloud platformsGCPGoogle Cloud PlatformAWSAzureDockerKubernetesinfrastructure as codeDevOpsPythonGoRustLinux internalsnetwork securityhigh-performance computingML infrastructure
problem-solvingcollaborationdebuggingoperational excellencesecurity awarenessresults-oriented
Industry Technology / AI & Machine Learning / Research
Job Function Develop and operate scalable cloud-based backend infrastructure
distributed systemsbackend infrastructurecloud platformsGCPGoogle Cloud PlatformAWSAzureDockerKubernetesinfrastructure as codeDevOpsPythonGoRustLinux internalsnetwork securityhigh-performance computingML infrastructure

Lack of experience with cloud platforms, No background in distributed systems, Inexperience with containerization technologies, No knowledge of infrastructure as code

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