Salary structure: Base + bonus. 5 days in office. 1-2 rounds of interview
about job
- Design and maintain the centralized framework for tracking Azure consumption and GenAI token usage across projects, teams, and applications
- Define and enforce tagging, cost allocation, and governance standards for consistent attribution
- Integrate with Azure Cost Management, billing APIs, and monitoring systems
- Partner ML/LLMOps team to ensure cost observability in training, deployment workflows and token usage
- Build dashboards and alerts to monitor real-time and forecasted costs, including anomaly detection for budget risks
- Identify and recommend cost optimization opportunities and facilitate implementation
skills and requirements
- Bachelor&aposs degree in Computer Science, or a related field
- Min 4 years in cloud administration and/or operations
- 1 year in cloud cost monitoring and optimization
- Strong knowledge in Azure services, especially Microsoft Cost Management, Azure Monitor, Databricks on Azure
- Proficiency with data engineering tools (Python, SQL, PySpark) to process billing and usage telemetry
- Experience integrating with dashboards and BI tools (Power BI, Grafana, etc.)
- Working knowledge of IaC tools (Terraform, Bicep, ARM templates) to enforce tagging and cost guardrails
- Hands-on experience in cloud FinOps, including budgeting, forecasting, cost allocation, and anomaly detection
- Strong grasp of cloud cost optimization strategies (reserved instances, spot instances, right-sizing, workload scheduling)
To apply online please use the &aposapply&apos function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
