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's 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 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)