Vultr · 9 hours ago
Infrastructure Capacity Analytics Engineer
United States
Full-time
Remote
Mid, Senior Level
$75K/yr - $90K/yr
6+ years expVultr is a leading cloud infrastructure company focused on making high-performance cloud solutions accessible for enterprises and AI innovators. The Infrastructure Capacity Analytics Engineer will design forecasting models, build scalable data pipelines, and create dashboards to optimize infrastructure and support strategic decision-making across the organization.
Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureCloud StorageWeb Hosting
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
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
Qualification
Required
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
Preferred
Experience with cloud‑native data platforms (Azure Data Lake/Synapse, AWS Redshift, Google BigQuery)
Familiarity with containerized environments (Docker) and CI/CD pipelines
Knowledge of RESTful APIs and microservices architecture
Experience with version control (Git) and agile engineering practices
Exposure to machine learning, anomaly detection, or ensemble forecasting methods
Strong spreadsheet skills (advanced formulas, modeling workflows)
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
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
Company
Vultr
Vultr is an AI cloud infrastructure platform offering latest generation NVIDIA GPUs and AMD CPUs and GPUs across 32 worldwide regions
201-500 employees
H1B Sponsorship
Vultr has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$662MKey Investors
Bank of America,JP Morgan Chase,Wells FargoAMD Ventures,LuminArx Capital Management LP
2025-06-23Debt Financing· $329M
2024-12-18Private Equity· $333M
2014-02-20Angel
Leadership Team
Mike Marinescu
Chief Technology Officer
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-12-06
2025-12-02
Company data provided by crunchbase