Similar Jobs
See allSenior Strategy & Planning Analyst
Grafana Labs
US
SQL
Salesforce
Tableau
Senior Data Engineer with Google Cloud (GCP)
Deutsche Telekom IT
Slovakia
BigQuery
Python
PySpark
Head of Analytics
Jobgether
Europe
SQL
Python
C++
Data Scientist, Consumption Analytics and Forecasting
Temporal Technologies
US
Python
SQL
ML
Data Infrastructure Engineer
Funga
US
SQL
Python
DevOps
Key Responsibilities:
- 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.
Required Qualifications:
- Has a bachelor's degree in Computer Science, Engineering, or related discipline.
- Demonstrates 6+ years of professional experience in Python development and data engineering.
- Shows 4+ years in infrastructure capacity planning, performance analysis, or related fields.
Success Indicators:
- High forecast accuracy with clear tracking (MAPE, bias).
- Improved utilization, infrastructure cost efficiency, and runway predictability.
- Reliable, scalable data pipelines with strong data quality SLAs.
Vultr
Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries.