Fin Ops Engineer

Cloud Financial Operations Manager

Essential Responsibilities:

• 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 Fin Ops Practices:
  Assist in implementing, maintaining, and governing Fin Ops 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 Fin Ops, 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, Cloud Formation)
• Familiarity with containerization technologies (Docker, Kubernetes)

Software Engineering:

• Proficiency in programming languages (Python, Java, Go, etc.)
• Experience with software development methodologies (Agile, Dev Ops)