Cloud Optimization Engineer (FinOps) (f/m/d) @ A1 Competence Delivery Center
Core
Manage cloud financial efficiency across Azure and support Kubernetes migration to Exoscale by driving cost visibility, optimization, forecasting, and governance.
Role type
Cloud Optimization Engineer (FinOps)
Builds
Cost models, reporting dashboards, and actionable spending recommendations for Engineering and Finance teams.
Domain
Telecommunications / Cloud FinOps
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Cloud cost optimization, TBM, Kubernetes resource utilization, Azure Cost Management, SQL, Power BI, Excel, Financial forecasting, Cost governance, Anomaly detection
Preferred skills
Kubecost
Technologies
Azure, Exoscale, Kubernetes, Kubecost, SQL, Power BI, Excel
Responsibilities
Manage cloud cost allocation and reporting across Azure and Exoscale; Optimize Kubernetes costs by identifying unused or overprovisioned resources; Build cost models and track spending during the Azure-to-Exoscale migration; Implement cost governance, anomaly detection, and reporting dashboards; Translate cloud spending data into actionable recommendations for Engineering and Finance.
Seniority
Mid-level, hands-on IC