Infrastructure Capacity Planning Engineer

GCS Recruitment Specialists

Cherry Hill Township (NJ)

Hybrid

USD 100,000 - 160,000

Full time

2 days ago
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Job summary

GCS Recruitment Specialists is seeking an Infrastructure Capacity Planning Engineer to help plan, analyze, and optimize private cloud infrastructure across a large data center environment in New Jersey.

You will build forecasting models, automate capacity planning processes, and collaborate with compute, storage, and network teams. You will also support procurement, budgeting, and capacity optimization initiatives.

Qualifications

  • 3–5+ years of relevant experience in capacity planning or infrastructure engineering.
  • 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.

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 procurement requirements and support budgeting.

Skills

Capacity planning
Infrastructure analytics
Forecasting
Automation
Cross-functional collaboration

Job description

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.

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