Infrastructure Capacity Analytics Engineer at Vultr

Vultr

Remote - United States·1w ago

Mid LevelFull-timePythonRustAWSAzureDockerMicroservicesMachine LearningAgileCI/CDGit

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

Vultr is seeking an Infrastructure Capacity Analytics Engineer to design advanced forecasting models and build scalable data pipelines. This role will focus on creating executive-ready dashboards that influence engineering, operations, and financial strategy.

Key Responsibilities

→Develop and maintain capacity models for compute, storage, and network infrastructure
→Build and productionize advanced time-series forecasts
→Conduct scenario modeling on deployment plans and workload changes
→Analyze historical utilization to identify risks and optimization opportunities
→Design and maintain Python-based data pipelines for infrastructure telemetry
→Create ETL/ELT workflows to support analytics and reporting
→Integrate data from observability platforms and internal services
→Develop APIs to expose forecast results and capacity signals
→Build executive-ready dashboards in Power BI
→Deliver insights to engineering, operations, and finance leaders
→Automate reporting workflows for visibility into runway and utilization
→Partner with teams to align capacity plans with growth objectives
→Establish standards for model governance and data quality
→Drive continuous improvement of capacity planning systems