Cisco
Senior Manager of Infrastructure Efficiency & Capacity Management
$160K–$282K
RTP, North Carolina, US +1 · Hybrid · Manager · Full-time · Posted Oct 25, 2026
- Location
- RTP, North Carolina, US
San Jose, California, US - Experience
- 12+ years of relevant professional experience; 5+ years directly building, managing, and leading senior technical teams.
- Education
- Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems, Business Administration, or a related technical field (or equivalent practical experience).
About the job
Build and lead an infrastructure efficiency and capacity management practice that forecasts demand, evaluates infrastructure investments, and guides resource allocation and lifecycle decisions.
What you'll do
- Lead engineers and analysts responsible for capacity economics, infrastructure analytics, and platform efficiency.
- Establish operating models for demand forecasting, supply allocation, unit economics, and outcome verification.
- Evaluate infrastructure purchases and cloud expansions, govern efficiency strategies, and communicate investment recommendations to executives.
What they ask for
- Bachelor’s degree in a related field or equivalent practical experience, plus 12+ years of relevant professional experience.
- 5+ years building, managing, and leading high-performing teams of senior technical specialists.
- Demonstrated experience in large-scale infrastructure capacity planning, resource lifecycles, utilization modeling, and service continuity.
- Experience with quantitative capacity models, forecasts, scenario analyses, unit economics, or multi-million-dollar TCO/CapEx/OpEx business cases.
Nice to have
- Experience with infrastructure supply-and-demand planning, capacity forecasting, or FinOps.
- Familiarity with Kubernetes, accelerated compute, GPU/TPU environments, storage, databases, or platform services.
Pay
$160,000.00 to $203,600.00 USD — base salary; $190,100.00 - $282,500.00 USD — base salary (New York City Metro Area); $171,600.00 - $250,200.00 USD — base salary (Non-Metro New York state & Washington state)
Tools
Jira, ServiceNow, Kubernetes, GPU/TPU, Savings Plans, Reserved Instances
AI focus
Optimizes infrastructure supporting AI workloads, including accelerated compute (GPU/TPU), through capacity planning, workload placement, and investment decisions.
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