FinOps Lead: Cloud Cost, Automation & Reliability

Jobtailor; New Jersey; On-site; USD 100,000 - 180,000; Full time

Job summary

Jobtailor seeks a FinOps/Cloud Cost Optimization professional to lead cost reporting, analytics, and governance across multi-cloud environments. You will own automated reporting pipelines, build dashboards, and partner with engineering, security, and finance teams to drive cost efficiency.

The role requires strong Python and SQL skills, experience with cost allocation, budgeting, and variance analyses, and hands-on work with cloud cost tools such as Cloudability and Apptio.

Qualifications

• Python experience required.
• Experience with cloud cost and usage reporting 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 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 major cloud service providers: AWS, Azure, or GCP.
• Familiarity with cloud billing structures, pricing models, and native cost management services.
• Understanding of cloud resource utilization patterns and optimization strategies.

Responsibilities

• Support cloud financial management through accurate, timely, and actionable cost reporting and analysis.
• Support Cloudability integration and onboarding efforts.
• Provide FinOps 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 and automation.
• 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 FinOps tools.
• Create automated reporting and analytics solutions using Python and SQL.
• Partner with Agile, engineering, and business teams to promote FinOps best practices.
• Monitor cloud usage trends and recommend cost optimization strategies.
• Document FinOps processes, methodologies, and governance procedures.

Skills

Python Scripting

SQL Proficiency

Cloud Cost Reporting

FinOps Tools Experience

Cost Optimization Analysis

Tools

Cloudability

Apptio

AWS

Azure

Google Cloud Platform

Dashboards

Data Pipelines

Job description

Jobtailor seeks a FinOps/Cloud Cost Optimization professional to lead cost reporting, analytics, and governance across multi-cloud environments. You will own automated reporting pipelines, build dashboards, and partner with engineering, security, and finance teams to drive cost efficiency.

The role requires strong Python and SQL skills, experience with cost allocation, budgeting, and variance analyses, and hands-on work with cloud cost tools such as Cloudability and Apptio.