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.
As a Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Capacity Planning Lead, you'll partner directly with internal teams who deploy bare metal servers, building the playbooks, processes, and tracking mechanisms that let Cloud Operations provision and maintain that infrastructure smoothly. You'll also own coordination of budget requests, procurement, and deployment for new hardware supporting these internal customers, becoming the go-to partner for planning their capacity augments — bridging the physical infrastructure layer with the software and systems running on top of it.
What You’ll Do:- Build and maintain a program for managing internal-use physical infrastructure, from intake through deployment
- Partner with internal teams who deploy bare metal servers to understand their capacity tracking needs and forecast future requirements, including how their software architecture (containerized workloads, networking, service dependencies) drives those needs
- Design and document playbooks that enable Cloud Operations to provision and maintain internal customers' infrastructure independently
- Coordinate budget requests for new hardware on behalf of internal customers, ensuring alignment with procurement timelines
- Own end-to-end procurement coordination for internal infrastructure, from request through delivery
- Plan and execute server augments on behalf of internal customers based on their tracked capacity needs
- Track rack, power, and hardware capacity for internally-used physical infrastructure across data centers
- Use observability data (metrics, logs, dashboards) to validate capacity assumptions and catch emerging bottlenecks before they impact internal customers
- Identify opportunities to standardize or streamline how internal teams request and receive infrastructure
- Build reporting and dashboards to give internal customers and stakeholders visibility into capacity status and timelines
- Serve as the primary point of contact between internal infrastructure customers and Cloud Operations for capacity-related needs
- 5+ years of experience in capacity planning, infrastructure operations, or program/project management in a technical environment
- Strong cross-functional communication and stakeholder management skills, including working with both technical and non-technical internal stakeholders
- Experience working with bare metal or physical server infrastructure
- Solid understanding of containerized workloads (e.g. Docker, Kubernetes) and how they consume underlying physical capacity
- Working knowledge of networking fundamentals as they relate to infrastructure deployment
- Experience using observability tools (metrics, logging, monitoring) to inform infrastructure decisions
- Strong program-building skills — comfortable creating structure, documentation, and playbooks from scratch
- Experience coordinating budget requests and procurement processes for hardware
- Ability to translate internal customer needs — both infrastructure and software-driven — into actionable capacity plans
- Comfort with SQL and data visualization tools (e.g. Looker, Grafana) for tracking and reporting
- Working knowledge of data center rack and power capacity planning concepts
- Bonus: experience as a consultant or technical project manager driving nebulous projects to completion
- Bonus: experience with data center inventory tools such as dcTrack or Netbox
- $106,000 - $132,000
*This is a hybrid role
JR: 2026-8184
#LI-Hybrid
- 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.
Skills Required
- 5+ years of experience in capacity planning, infrastructure operations, or technical program/project management
- Strong cross-functional communication and stakeholder management skills
- Experience with bare metal or physical server infrastructure
- Understanding of containerized workloads such as Docker and Kubernetes
- Working knowledge of networking fundamentals for infrastructure deployment
- Experience using observability tools, including metrics, logging, or monitoring
- Ability to create programs, documentation, processes, and playbooks from scratch
- Experience coordinating hardware budget requests and procurement processes
- Ability to translate infrastructure and software-driven customer needs into capacity plans
- Comfort with SQL and data visualization tools such as Looker or Grafana
- Working knowledge of data center rack and power capacity planning
- Consulting or technical project management experience driving ambiguous projects to completion
- Experience with data center inventory tools such as dcTrack or NetBox
What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
