Infrastructure Capacity Planning Engineer | Cloud & Data Center
Our client is expanding its cloud capacity engineering team and is looking for an Infrastructure Capacity Planning Engineer to help plan, analyze, and optimize infrastructure across a large private cloud environment.
The team is responsible for the end-to-end capacity lifecycle - from planning and forecasting through procurement, deployment, utilization, and ultimately reducing or eliminating unused capacity.
What You'll Be Working On
- Private cloud infrastructure supporting VMs, containers, compute, storage, and network environments
- Long-range infrastructure forecasting
- Capacity modeling and utilization analysis
- Data center power, rack, and cooling capacity planning
- Infrastructure procurement and capacity validation
- Resource optimization and reclamation
- Infrastructure scaling and augmentation
- Automation of capacity planning processes and tools
Responsibilities
- Work with application and infrastructure teams to understand future capacity requirements
- Build forecasting models for long-term infrastructure growth
- Develop automated tools to improve capacity planning and analysis
- Measure performance and utilization across deployed compute and storage resources
- Analyze capacity trends and identify potential risks
- Recommend infrastructure scaling and optimization strategies
- Validate infrastructure designs and procurement requirements
- Partner with compute, storage, and network engineering teams
- Review bills of materials and infrastructure deliverables
- Support quotes, funding requests, and procurement tracking
- Assist finance teams with infrastructure budgeting
- Maintain capacity planning frameworks and infrastructure inventories
- Identify opportunities to improve processes, tools, and technologies
- Communicate capacity findings and recommendations to technical stakeholders
Qualifications
- 3-5+ years of relevant experience
- Background in infrastructure engineering, capacity planning, cloud infrastructure, or infrastructure analytics
- Experience with cloud/private cloud technologies
- Understanding of compute, virtualization, storage, and networking
- Experience with forecasting, modeling, utilization analysis, or resource planning
- Experience automating technical processes or developing planning tools
- Strong communication and cross-functional collaboration skills
If your background combines infrastructure engineering with data-driven capacity planning, forecasting, and optimization, we'd like to hear from you.