Platform Engineer - Enterprise AI

📋 Description

• Design, build, and operate the services that support the Enterprise AI platform, including platform
• Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign
• Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using
• Design systems that support secure multi-tenant operation, reliable service ownership, and clear
• Build observability across the platform using service-level objectives, structured logging
• Develop telemetry that tracks model and compute costs by tenant

🎯 Requirements

• Six or more years of platform or infrastructure engineering experience supporting production SaaS
• Experience shipping a product that customers run in their own environment, including in a VPC, a
• Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the
• Deep experience in at least one cloud and comfort working in a second, including private
• Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry
• Familiarity with Postgres, object storage, queues, and vector stores

🎁 Benefits

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models
• Contribute to leading-edge AI research and showcase work at top conferences such as ICLR, ICML, and
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup