Collaborate with Solution Owners and Engineering: Track and monitor cost optimization initiatives, ensuring key initiative assumptions are accurate and applicable infrastructure efficiencies are incorporated into the forecast.
Mature the Cloud Ops capabilities: Help build the Cloud Ops organization based on SRE practices.
Monitor Cloud Expenses: Identify cost-saving opportunities, such as unused or underutilized resources in AWS for all cloud-hosted products.
Analyze Cloud Data: Identify cost optimization and usage opportunities and create specific recommendations; review those recommendations with engineering and business stakeholders.
Monitor and Report Usage: Track cloud usage against budget and forecast, explore trends in cloud spend, and focus on the root cause of cloud resource cost increases on a daily/weekly/monthly basis.
Create Reports and Dashboards: Develop reports, dashboards, and alerts to track spending and usage trends and the potential impact of cost optimizations. Present regular updates to senior leadership.
Implement and Maintain FinOps Practices: Assist in implementing, maintaining, and governing FinOps with a focus on data pipeline optimization and accuracy.
Required Qualifications:
5+ years in managing cloud environments, budgets, forecasts, and implementing financial controls.
7+ years in cloud native software development, platform engineering, or cloud solutions delivery.
Experience with FinOps, including cloud cost and financial model forecasting and cloud cost optimization strategies
Preferred Qualifications:
Cost Modeling and Analysis:
Ability to analyze cloud usage and identify cost-saving opportunities
Understanding of cost allocation and chargeback models
SRE Expertise:
Proficiency in tools like Datadog, Vantage (bonus) or other CCM tools.
Experience with automation and scripting (e.g., Python, Bash, Ruby)
Cloud Engineering:
Strong knowledge of cloud platforms (AWS, Azure, GCP)
Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
Familiarity with containerization technologies (Docker, Kubernetes)
Software Engineering:
Proficiency in programming languages (Python, Java, Go, etc.)
Experience with software development methodologies (Agile, DevOps)
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