The Staff Engineer - Capacity Engineering at GEICO will focus on developing and scaling capacity engineering solutions within the Capacity Management Platform. This role is essential for proactive infrastructure and cloud capacity planning across GEICO's hybrid technology landscape. The engineer will collaborate with various teams to optimize infrastructure efficiency and support application onboarding and growth. This position aims to establish capacity engineering as a core function within the organization.

• 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 such as AWS and Azure, infrastructure provisioning workflows, and OnPrem hardware life cycles.
• Experience working closely 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.
• Excellent collaboration and communication skills; able to influence cross-functional stakeholders at varying levels of technical and business expertise.

• Lead the design and implementation of systems that enable cloud and OnPrem capacity forecasting.
• Partner with application and infrastructure teams to analyze workload characteristics and optimize placement decisions.
• Develop and support internal tools and APIs that provide real-time and forecasted capacity signals.
• Design and build quota and subscription management solutions for shared infrastructure resources.
• Collaborate with Hardware Engineering to define data-driven signals for purchase decisions.
• Support the onboarding of service providers by developing capacity insights and demand management capabilities.
• Partner closely with Finance, Procurement, and Cloud FinOps teams to align capacity forecasts with budget expectations.
• Collaborate cross-functionally to maintain a strong governance model for capacity consumption and scaling practices.
• Share best practices across teams and mentor engineers on platform scalability and cost efficiency.