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Cerence AI
Posted 65 days agoVerified live 16h ago

FinOps Engineer / Architect

Brief overview

Remote
$86k–$130k/yrStated range
FinOpsCloud EngineeringCloud OperationsAzureAWSGCPCloudZeroVantageCloudHealthSQLPower BIMicrosoft FabricKubecostPythonData AnalysisReporting PlatformsDashboard Development

Job description

Summary

Cerence AI is a global leader in conversational AI and voice technologies, and they are seeking a FinOps Engineer / Architect to optimize cloud infrastructure spending. The role involves improving cost transparency and operational excellence through the management of cloud cost reporting and the development of FinOps processes.

Responsibilities

  • Manage and improve cloud cost reporting across environments like Azure, AWS, and GCP
  • Define, design, implement, ship, and maintain operationally excellent tooling as part of processes like budgeting, variance analysis, anomaly detection, and executive reporting
  • Maintain, enhance, and migrate data pipelines, reporting models, dashboards, and automation supporting FinOps operations
  • Evolve cost allocation through improvements to labeling, tagging, allocation, showback, and chargeback processes
  • Support cost optimization initiatives and drive efficiency improvements
  • Manage reporting and analytics solutions including SQL, Power BI, Microsoft Fabric, and related technologies
  • Collaborate with cross-functional teams to improve cloud financial accountability and governance
  • Build an organizational foundation of team data by documenting operational, development, deployment, and collaboration processes
  • Use artificial intelligence (AI) to accelerate and automate tasks and processes such as cross-functional campaigns, job duties, operational resolution, and monitoring
  • Ensure continuity of FinOps tooling, reports, and capabilities

Skills

  • 2+ years of experience in FinOps, cloud engineering, cloud operations, or related technical disciplines
  • Strong knowledge of cost management through tooling like native Azure, AWS, and GCP services and third-party tooling like CloudZero, Vantage, or CloudHealth
  • Experience with SQL, data analysis, reporting platforms, and dashboard development (Power BI preferred)
  • Experience supporting financial planning, budgeting, forecasting, or cost optimization initiatives
  • Clear communication skills and proven ability to translate verbal and written interactions into requirements and deliverables
  • Experience with data pipelines on platforms like Microsoft Fabric, Power BI, Kubecost, Python, or equivalent data and cloud financial management frameworks
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline
  • Equivalent practical experience developing edge and embedded applications will also be considered
  • Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data)
  • Demonstrative knowledge of information security through internal training programs

Qualifications

Must Haves

  • 2+ years of experience in FinOps, cloud engineering, cloud operations, or related technical disciplines
  • Strong knowledge of cost management through tooling like native Azure, AWS, and GCP services and third-party tooling like CloudZero, Vantage, or CloudHealth
  • Experience with SQL, data analysis, reporting platforms, and dashboard development (Power BI preferred)
  • Experience supporting financial planning, budgeting, forecasting, or cost optimization initiatives
  • Clear communication skills and proven ability to translate verbal and written interactions into requirements and deliverables
  • Experience with data pipelines on platforms like Microsoft Fabric, Power BI, Kubecost, Python, or equivalent data and cloud financial management frameworks
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline
  • Equivalent practical experience developing edge and embedded applications will also be considered
  • Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data)
  • Demonstrative knowledge of information security through internal training programs

Benefits

  • Annual bonus opportunity
  • Insurance coverage (medical, dental, vision, life, and disability)
  • Paid time off
  • Paid holidays
  • Company contribution to the RRSP (Registered Retirement Savings Plan)
  • Equity awards for certain positions and levels
  • Remote and/or hybrid work available depending on the position

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