Senior Capacity Planner

Digital Ocean
Seattle
Workplace: HybridFull timeUSD 106,000 - 132,000Function: Solutions Engineering & Sales EngineeringSkills: ["Cross-functional communication","Automation mindset","Analytical thinking","Forecasting","Problem-solving"]

Drive capacity planning and utilization for DigitalOcean’s serverless inference offering by analyzing usage and forecasting GPU demand. You’ll optimize GPU server allocation, build automation and tooling to streamline model-to-server decisions, and maintain dashboards for utilization and spot capacity trends. Partner with DCOPS, Network Engineering, Product, and Delivery to plan and execute GPU deployments, track rack and power capacity, and mitigate capacity risks before they affect availability or revenue.

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FursaFursa
Digital Ocean
Digital Ocean
1 day ago

Senior Capacity Planner

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Drive capacity planning and utilization for DigitalOcean’s serverless inference offering by analyzing usage and forecasting GPU demand. You’ll optimize GPU server allocation, build automation and tooling to streamline model-to-server decisions, and maintain dashboards for utilization and spot capacity trends. Partner with DCOPS, Network Engineering, Product, and Delivery to plan and execute GPU deployments, track rack and power capacity, and mitigate capacity risks before they affect availability or revenue.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze usage statistics across serverless inference models to identify demand-driven optimization opportunities in server assignment
  • •Recommend and implement GPU server allocation across models to maximize revenue and utilization
  • •Build tools and processes to automate model-to-server assignment decisions and reduce manual analysis
  • •Track rack and power capacity for GPU infrastructure across global data centers and forecast future GPU demand to inform procurement timelines
  • •Partner with DCOPS, Network Engineering, Product, and Delivery to plan and execute physical GPU server deployments and escalate capacity risks early

Pay and Benefits

Salary: USD 106,000 - 132,000
Perks:Employee AssistanceLearning BudgetFlexible Time

Key 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, performance)
  • •Familiarity with serverless inference workloads and spot capacity dynamics
  • •Experience analyzing usage and demand data to drive resource allocation/optimization decisions
  • •Strong foundation with SQL and data visualization tools (e.g., Looker, Grafana) to build reporting and models
Experience:Serverless inferenceGPU hardwareCloud computingAIInfrastructure operations
Skills:Cross-functional communicationAutomation mindsetAnalytical thinkingForecastingProblem-solving
Languages:English
Tech Stack:SQLLookerGrafanaDashboards

Company Brief

Digital Ocean
Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.
Industry: Cloud Computing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn