Senior Capacity Planner
About The Position
DigitalOcean is seeking a Senior Capacity Planner passionate about optimizing physical infrastructure for their Serverless Instance offering. This role involves joining a dynamic team focused on cloud computing and AI, reporting to the Capacity Planning Lead. The Senior Capacity Planner will drive utilization for the Serverless Instance offering by forecasting customer demand shifts and tracking new model releases. Key responsibilities include establishing processes and automation, deploying new GPU hardware, and collaborating with cross-functional teams to optimize physical infrastructure.
Requirements
- 5+ years of experience in capacity planning, infrastructure operations, or a related technical/analytical role
- Strong understanding of the current GPU hardware market — models, vendors, availability, and performance characteristics
- Familiarity with serverless inference workloads and spot capacity dynamics
- Experience analyzing usage and demand data to drive resource allocation or optimization decisions
- Strong foundation with SQL and data visualization tools (e.g. Looker, Grafana) to build reporting and models
- Experience with, and strong interest in building, automation/tooling/AI agents to reduce manual analysis
- Working knowledge of data center rack and power capacity planning concepts
- Strong cross-functional communication skills, with experience partnering across DCOPS, Network Engineering, Product, and Delivery
Nice To Haves
- Experience with data center inventory tools such as dcTrack or Netbox
Responsibilities
- Analyze usage statistics across serverless inference models and spot demand to identify optimization opportunities in server assignment
- Make and implement recommendations on GPU server allocation across models to maximize revenue and utilization
- Build tools and processes to automate and streamline model-to-server assignment decisions, reducing manual analysis over time
- Maintain a deep, current understanding of the GPU hardware market — new models, availability, price/performance tradeoffs — to inform procurement and deployment decisions
- Track rack and power capacity for GPU infrastructure across global data centers
- Partner with DCOPS, Network Engineering, Product, and Delivery teams to plan and execute physical GPU server deployments
- Forecast future GPU demand (both inference spot capacity and physical infrastructure) to inform procurement timelines
- Identify opportunities to redistribute or optimize existing GPU hardware placement across racks and cabinets
- Build dashboards and reporting to track GPU utilization, spot capacity trends, and deployment status
- Escalate capacity risks or bottlenecks before they impact GPU availability or revenue
Benefits
- Competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Bonus in addition to base salary
- Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
