Infrastructure Capacity Analytics Engineer

Role Overview

• Develop and maintain capacity models for compute, storage, and network infrastructure across global environments.
• Build and productionize advanced time‑series forecasts (e.g., ARIMA/ETS, Prophet, XGBoost/LightGBM) to predict demand, saturation points, and runway.
• Conduct scenario modeling (“what‑if”) on deployment plans, workload changes, demand spikes, and hardware refresh strategies.
• Analyze historical utilization to identify emerging risks, inefficiencies, and optimization opportunities.
• Design, build, and maintain Python‑based data pipelines for ingesting, transforming, and validating large‑scale infrastructure telemetry.
• Create ETL/ELT workflows to support analytics, modeling, and reporting.
• Integrate data from observability platforms (e.g., Prometheus/Grafana), CMDB/asset systems, and internal services.
• Develop APIs/services to expose forecast results and capacity signals to dashboards and tooling.
• Build executive‑ready dashboards in Power BI (DAX, Power Query, custom visuals) and integrate real‑time forecasting outputs.
• Deliver clear, compelling insights to engineering, operations, and finance leaders to support both strategic and tactical decision‑making.
• Automate reporting workflows and ensure up‑to‑date visibility into runway, utilization, and risk posture.
• Partner with engineering, operations, and finance teams to align capacity plans with growth, reliability, and cost objectives.
• Establish standards for model governance, documentation, and data quality.
• Drive continuous improvement of capacity planning systems, tooling, and analytics frameworks.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related discipline.
• 6+ years of professional experience in Python development and data engineering.
• 4+ years in infrastructure capacity planning, performance analysis, or related fields.
• Strong expertise in time‑series forecasting, statistical modeling, and Python libraries (pandas, NumPy, scikit‑learn, statsmodels, XGBoost).
• Proficiency with SQL scripting and column-based SQL databases (I.e. ClickHouse); experience designing scalable ETL/ELT pipelines.
• Advanced proficiency in Grafana, Tableau, or Power BI (DAX, Power Query, modeling, custom visuals).
• Experience working with infrastructure telemetry and systems (servers, storage, networking).
• Prior experience managing capacity at a cloud service provider or large‑scale distributed environment.
• Excellent communication and executive‑level presentation skills.

Tech Stack

• Cloud
• ETL
• Grafana
• Numpy
• Pandas
• Prometheus
• Python
• SQL
• Tableau

Benefits

• 100% company-paid insurance premiums for employee medical, dental and vision plans.
• 401(k) plan that matches 100% up to 4%, with immediate vesting
• Professional Development Reimbursement of $2,500 each year
• 11 Holidays + Paid Time Off Accrual + Rollover Plan
• Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
• $500 stipend for remote office setup in first year + $400 each following year
• Internet reimbursement up to $75 per month
• Gym membership reimbursement up to $50 per month
• Company paid Wellable subscription