Available Locations: Lisbon, Portugal About the department
The Infrastructure department at Cloudflare handles all our data centers and network interconnections around the world, from research and development of our servers, to planning network capacity expansions, to getting our equipment anywhere in the world that it's needed, to executing new deployments and data center expansions.
The Infrastructure Planning & Capacity Engineering team is part of Cloudflare's global Infrastructure (INF) team. The team is the central decision making center responsible to scale Cloudflare's Infrastructure, Edge and Core. The team delivers the required speed and plan accuracy to scale seamlessly and efficiently by alleviating all potential bottlenecks.
What you'll do
- Identify bottlenecks and recommend optimizations for service owners to improve capacity utilization of applications
- Identify and institute new planning verticals
- Develop simulation models and tools which analyze multi level constraints (data center space and power, budget, lead time constraints)
- Collaborate with application owners and product managers to understand capacity requirements, software optimization initiatives, and generate short/long term capacity demand forecasts
- Data Modeling/Business Intelligence
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing capacity planning infrastructure for greater scalability
- Design, develop and scale user friendly systems, reports and dashboards which support capacity planning
- Create monitoring and reporting tools for capacity related analysis
- Build ROI models which help leadership teams prioritize and manage risk across new product initiatives, reliability/efficiency projects and existing applications/features
Examples of desirable skills, knowledge and experience
- Strong expertise in Microsoft Excel
- PL/SQL server development experience
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala
- Degree in Operations Research, Statistics, Applied Mathematics, Computer Science, Engineering, MIS or closely related field
- 3+ years relevant work experience as a Capacity Planner, Supply Chain Analyst, Business Analyst, BI Engineer or Data Scientist
- Demonstrated ability and experience to influence, develop productive working relationships, and lead technical teams and key stakeholders from different business functions
- A diverse technical acumen--actively contribute to technical discussions, proactively identify challenges and risks, working closely with engineers and product manager on addressing challenges, and form mitigation plans
- Excellent interpersonal, presentation and communication skills. Effective problem-solving skills
- Exercise technical judgment to keep goals for programs, projects and products attainable within a given timeline
Top Skills
What We Do
Cloudflare, Inc. is on a mission to help build a better Internet. Cloudflare’s suite of products protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was awarded by Reuters Events for Global Responsible Business in 2020, named to Fast Company's Most Innovative Companies in 2021, and ranked among Newsweek's Top 100 Most Loved Workplaces in 2022.
Why Work With Us
Cloudflare employees come from all walks of life. Our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.
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Employees engage in a combination of remote and on-site work.
We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'
