Senior Capacity Planner

Socket.dev; Seattle (WA); Hybrid; USD 106,000 - 132,000; Full time

Job summary

DigitalOcean is seeking a Senior Capacity Planner to grow the Serverless Instance offering by optimizing physical infrastructure and GPU deployments. You will predict demand, establish scalable processes, and partner with cross-functional teams to align capacity with roadmap.

You will build dashboards, monitor GPU availability, and drive procurement strategies while maintaining a strong focus on cost efficiency and reliability across global data centers.

Qualifications

• 5+ years of experience in capacity planning or related technical/analytical role.
• Strong understanding of the 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 (Looker, Grafana) to build reporting and models.
• Experience with 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.
• Bonus: 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.

Skills

Capacity planning

GPU hardware market

Serverless workloads

SQL

Looker

Grafana

Automation tooling

Cross-functional collaboration

Data center rack and power

DCOPS collaboration

Tools

dcTrack

Netbox

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Senior Capacity Planner who is passionate about growing DigitalOcean’s Serverless Instance offering through physical infrastructure optimization.

As a Senior Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Capacity Planning Lead, you will drive utilization across our Serverless Instance offering by predicting customer demand shifts and following novel model releases. After establishing processes and automation, you will additionally focus on deploying new GPU hardware and working with cross functional stakeholders to optimize our physical infrastructure.

What You’ll Do:

• 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

Key Metrics:

• Revenue impact from optimized serverless inference server assignment
• Serverless inference spot capacity utilization
• Forecast accuracy for physical GPU infrastructure needs
• On-time delivery of GPU hardware deployments
• Rack/power capacity utilization for GPU fleet

What You’ll Add to DigitalOcean:

• 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
• Bonus: experience with data center inventory tools such as dcTrack or Netbox

Compensation Range:

• $106,000 - $132,000

*This is a hybrid role

JR: 2026-8183

#LI-Hybrid

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
• DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.