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Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
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Cloud • Information Technology • Machine Learning
The Manager of Data Center Infrastructure Finance manages capital planning and financial analysis for data center projects, collaborating with supply chain and operations leadership for efficiency and performance.
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We are looking for a Capacity Planner II who is passionate about understanding data and using it to forecast, deploy, and manage virtualization infrastructure.
As a Capacity Planner II at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Capacity Planning Manager, this individual will be working with cross functional stakeholders and leveraging demand forecasts to ensure the availability of data center space and power. You will also have the opportunity to analyze data and make recommendations to enhance operational efficiency and deploy the necessary infrastructure to satisfy customer growth.
What You’ll Do:- Maintain detailed tracking of data center rack and power capacity, leveraging deployment forecasts to determine space runout dates
- Align within Capacity Planning and other across other Internal Teams to gather deployment forecasts and understand how deployments align with strategic business objectives
- Analyze data in Grafana and Looker to understand trends and support the Capacity Planning team with deployment forecasts
- Build dashboards to provide new insights and deepen our understanding of customer behavior
- Identify opportunities to redistribute hardware and collaborate with Operations teams to complete redeployment projects
- You will be primarily responsible for tracking and reporting data center rack and power availability
- You will add support to the management of Core DO product capacity and availability
- Prior experience tracking and forecasting space and power requirements, preferably for data centers or in a similar industry
- Strong understanding of using Google Sheets to build and update models used to generate reports
- Experience with SQL and Looker, or other data visualization tools, to generate ad-hoc reports and insights
- Bonus: Knowledge of infrastructure concepts (servers, virtualization, resource allocation) or interest in learning
- Bonus: Experience with Python for building automated modeling and tools
- 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 your overall well-being, from one-time work from home stipend to wellness allowance 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 between $90,000.00 - $105,000.00 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.
- We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute