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Global Capacity Manager

Baseten

Skills

Required

  • GPU
  • Kubernetes
  • Go / Python
  • Hyperscaler
  • GCP
  • AWS
  • Azure
  • cordons

Preferred

  • building automation for uptime

Join Baseten as a Global Capacity Manager, where you will lead the optimization and management of our global GPU fleet. This high-stakes engineering role requires expertise in Kubernetes orchestration and a strong understanding of unit economics. You will collaborate with various teams, respond to capacity crises, and drive initiatives to enhance our capacity management system. Enjoy a remote-first work environment, unlimited PTO, full healthcare coverage, and a learning and development budget.

Responsibilities

  • Lead the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building automation for uptime.
  • Act as the fleet orchestrator for advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
  • Design and implement the next version of Baseten’s capacity management system to handle a 10x increase in GPU volume.

Requirements

High tenacity and collaborative mindset

  • Demonstrated experience with Go or Python in a production-level environment
  • 5+ years of professional work experience in a high-growth environment, preferably at a Hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, Or a related field
  • Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node Draining, and custom operators
  • Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost

Pay

USD 170,000 - 230,000