FinOps Engineer Lead, Python

• Support cloud financial management through accurate, timely, and actionable cost reporting and analysis
• Support Cloudability integration and onboarding efforts
• Provide Fin Ops reporting and insights for multiple agile teams
• Partner with Development and Infrastructure teams to implement monitoring capabilities
• Develop and maintain reliability scripts, tools, and libraries for instrumentation, automation, and operational needs
• Mentor SRE resources on reliability practices and established tools
• Implement code changes using common reliability libraries and tools
• Participate in architecture community of practice meetings
• Identify vulnerabilities and reliability improvement opportunities
• Investigate monitoring error rates and noise, and define solutions to reduce manual support effort
• Serve as a subject matter expert in major incident triage, failure scenario modeling, and diagnosis
• Provide ad hoc financial analysis and executive reporting on cloud spending and optimization initiatives
• Design and establish a unified backend data platform and front-end service layer for cloud cost, usage, and optimization insights
• Develop and maintain cloud financial reports, dashboards, and automated processes
• Support budgeting, forecasting, chargeback/showback, cost optimization, and variance analysis
• Administer and support Cloudability and other Fin Ops tools
• Create automated reporting and analytics solutions using Python and SQL
• Partner with Agile, engineering, and business teams to promote Fin Ops best practices
• Monitor cloud usage trends and recommend cost optimization strategies
• Document Fin Ops processes, methodologies, and governance procedures

• Python experience required
• Experience with cloud cost and usage reporting, including analysis of consumption trends and cost drivers across cloud environments
• Strong understanding of cost allocation methodologies and chargeback/showback concepts
• Ability to perform optimization analysis and identify savings opportunities
• Experience supporting budgeting, forecasting, and variance analysis related to cloud financial management
• Ability to provide actionable reporting and insights to technical and business stakeholders
• Proficiency in Python scripting for data extraction, transformation, reporting, and process automation
• Experience developing automated reporting solutions, recurring dashboards, and scalable data pipelines
• Working knowledge of SQL for querying, validating, and reconciling large datasets
• Experience with analytics and reporting tools
• Hands‑on experience with at least one major cloud service provider: AWS, Azure, or Google Cloud Platform
• Familiarity with cloud billing structures, pricing models, and native cloud cost management services
• Understanding of cloud resource utilization patterns and optimization strategies, including rightsizing and reservation recommendations
• Ability to support cloud financial governance and Fin Ops best practices
• Experience collaborating with engineering, infrastructure, and Agile teams in cloud-based environments
• Experience with Fin Ops tools such as Cloudability, Apptio, or similar platforms

Demonstrates expertise in cloud financial management, including cost reporting, budgeting, and optimization strategies. Proficient in Python and SQL for developing automated reporting solutions and collaborating with cross‑functional teams to implement Fin Ops best practices.

• Python Scripting
• Cloud Financial Management
• Cost Optimization Analysis
• Fin Ops Tools Experience
• SQL Proficiency

• Python
• SQL
• Cost Allocation Methodologies
• Budgeting
• Forecasting
• Variance Analysis
• Automated Reporting Solutions
• Data Extraction
• Data Transformation
• Cloud Cost Reporting

• Actionable Reporting
• Collaboration
• Mentoring
• Problem Solving
• Communication

• Fin Ops
• Cloud Financial Governance
• Chargeback
• Showback
• Cloud Usage Trends
• Resource Utilization Patterns
• Cost Management Services
• Incident Triage
• Failure Scenario Modeling
• Operational Needs

• Cloudability
• Apptio
• AWS
• Azure
• Google Cloud Platform
• Analytics Tools
• Dashboards
• Data Pipelines
• Monitoring Tools
• Reliability Libraries