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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythontime-series forecastingstatistical modelingETLELTSQLcapacity planningdata engineeringdata pipelinesAPIs

Soft Skills

communicationpresentationcollaborationinsight deliverystrategic decision-makingtactical decision-makingcontinuous improvementdocumentationgovernancerisk analysis