In this role you will:Split your time between coding and working with teams on data collection coding and coding skills to automate reporting (Python SQL PHP are the typical)Design develop and maintain forecasting dashboards and planning tools that visualize infrastructure demand usage trends and capacity headroom across data centers cloud environments and edge locations. Build backend services and APIs that aggregate process and serve infrastructure telemetry performance metrics and business growth signals to planning closely with demand planners finance data science and engineering teams to define system requirements and align tool development with strategic forecasting self-service interfaces that enable multi-functional teams to explore infrastructure projections scenario modeling and risk the integration of data from multiple sources including monitoring systems CMDBs cloud billing data and business KPIs to support forecasting tools are performant secure and maintainable following engineering best practices and standards for observability testing and continuous improvements to dashboard accuracy usability and performance with a strong focus on user feedback and business technical architecture workflows and user guides to support tool adoption and operational continuity.
Minimum of 3 years of experience in full stack development with an emphasis on backend solutions.
Proficiency in data analysis and presentation tools (for example Superset Tableau Power BI R).
Understanding of cloud and datacenter infrastructure including compute storage networking virtualization and hyperscale/cloud provider ecosystems.
Experience with capacity modeling demand forecasting and scenario planning for large-scale infrastructure.
Ability to present complex data and planning insights to executive leadership (VP-level and above) with clear actionable recommendations.
Experience working within large-scale matrixed organizations where strategic alignment across multiple teams is critical.
Masters Degree in Computer Science Data Science Engineering or a related field
Experience with Cloud FinOps (financial operations) their FOCUS model
Use of cloud reporting tools (for example Cloudability Ternery Cloudwatch)
Familiarity with AI/ML-driven capacity planning and predictive analytics tools.
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