Staff Engineer, Capacity Planning and Management

GEICO

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bethesda, MDPalo Alto, CADallas, TXSeattle, WA
Salary
$110,000–$230,000 / yr
Employment
Full-time
Posted
174 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $170k
$92k $274k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $182,000–$238,250 — the blue band above. At the midpoint, this role pays about $170k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 73 open roles on FindRole.

Listed pay typically runs $115,000–$230,000 across 70 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Staff Engineer, Capacity Planning and Management

The Staff Engineer - Capacity Planning and Management joins the Capacity Engineering team to build core capabilities within the Capacity Management Platform. This role focuses on enabling proactive infrastructure and cloud capacity planning across a hybrid technology landscape. The engineer will design and implement systems for cloud and OnPrem capacity forecasting, develop internal tools and APIs for real-time capacity signals, and build quota and subscription management solutions. Key responsibilities include analyzing workload characteristics to optimize placement, reducing infrastructure waste, and aligning capacity forecasts with spend and budget expectations. Required skills include expertise in infrastructure provisioning workflows, data pipelines, and analytics platforms for utilization insights. The role solves the business problem of ensuring efficient infrastructure provisioning, long-term cost predictability, and service availability during application onboarding and modernization.

What does a Engineer earn in California?

Median $199500 from 103 postings across 31 companies.

See salary data

What you'll do

  • Lead the design and implementation of systems for cloud and OnPrem capacity forecasting.
  • Analyze workload characteristics to optimize placement decisions and reduce infrastructure waste.
  • Develop internal tools and APIs to provide real-time capacity signals to procurement and finance.
  • Design and build quota and subscription management solutions for shared infrastructure resources.
  • Define data-driven signals to guide hardware purchase decisions for greenfield and brownfield environments.
  • Develop capacity insights and demand management capabilities to support service provider onboarding.
  • Align capacity forecasts with spend and budget expectations in partnership with Finance and FinOps teams.
  • Maintain a governance model for capacity consumption, allocation, and scaling practices across the organization.

What we're looking for

  • 8+ years of experience in infrastructure, platform, or capacity engineering in large-scale enterprise or hybrid cloud environments.
  • Demonstrated expertise in building capacity planning models, workload analysis frameworks, and forecasting pipelines for infrastructure management.
  • Strong understanding of cloud services (e.g., AWS, Azure), infrastructure provisioning workflows, and OnPrem hardware life cycles.
  • Experience working with procurement, hardware, or finance teams to guide infrastructure acquisition based on forecasted demand.
  • Familiarity with workload repatriation, application migration strategies, and hybrid environment management.
  • Experience building internal tools and APIs for consumption by engineering or operations teams.
  • Strong data analysis background with experience in data pipelines, dashboards, or analytics platforms for infrastructure and utilization insights.
  • Experience with FinOps principles, cloud cost optimization, or cloud spend forecasting (preferred).

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