[Hiring] Cloud Capacity & Efficiency Engineer @this Featured Opportunity

Role Description

We are seeking a strong engineer with expertise in cloud capacity management and forecasting. This role is critical to helping us understand, optimize, and strategically manage our infrastructure spend across cloud and datacenter environments.

In this role, you will drive how efficiently we operate our multi-cloud footprint, including:

• Forecasting infrastructure demand and planning capacity
• Improving utilization
• Reducing unit costs across compute, storage, and networking resources
• Building robust visibility into infrastructure spend
• Developing accurate cost attribution across teams and workloads
• Modeling resource demand
• Identifying opportunities to improve efficiency at scale

The Opportunity for You:

• Own capacity forecasting and planning (cloud, servers, resources)
• Run weekly stakeholder meetings to collect demand data and drive alignment
• Build and maintain forecasting models by quarter
• Generate executive-level reporting on capacity and efficiency

Qualifications

• 4+ years of direct experience in capacity management or demand planning
• Must have experience managing capacity at scale
• Strong understanding of cloud infrastructure and cloud services such as Kubernetes (K8s), Elastic Kubernetes Service (EKS), and S3
• Deep understanding of servers, clusters, namespaces, quotas, and cloud concepts
• Expertise in scripting, coding, and automation with Python and SQL
• Forecasting expertise: understanding capacity planning, demand modeling, and resource scenarios
• Experience with forecasting, data modeling, and data visualization tools
• Strong ability to thrive in ambiguity, taking initiative to create clarity and forward progress
• Highly effective communication and presentation skills

Requirements

• US Citizen, GC Holders, or Authorized to Work in the U.S.

Benefits

• Compensation: $40-70/hr
• Duration: 12+ months
• Remote US - must work PST hours