Azure FinOps Architect: Cost Optimization & Automation

Cerence AI; United States; Hybrid; USD 86,000 - 130,000; Full time

Benefits offered by this job

Annual bonus opportunity

Insurance coverage (medical, dental,  

Paid time off

Paid holidays

Equity awards

Remote and/or hybrid work available

Job summary

Cerence AI is seeking a FinOps Developer to drive cloud spend visibility and accountability across a global Azure‑first environment. You will modernize data pipelines, build automation, and establish scalable FinOps processes that place Cerence among the most cost‑effective businesses in the industry.

In your first year you will enhance cost transparency, port and optimize tooling for budgeting and reporting, and collaborate with cross‑functional teams to improve governance and efficiency.

Qualifications

• 2+ years of FinOps, cloud engineering, or related roles.
• Experience with cost management using Azure/AWS/GCP and third‑party tools.
• SQL, data analysis, and dashboard development experience (Power BI preferred).
• Experience with budgeting, forecasting, or cost optimization initiatives.
• Clear communication translating requirements into deliverables.
• Experience with data pipelines on platforms like Microsoft Fabric, Power BI, Kubecost, Python.

Responsibilities

• Manage and improve cloud cost reporting across environments (Azure, AWS, GCP).
• Design, implement, and maintain cost‑management tooling for budgeting, variance analysis, anomaly detection, and reporting.
• Maintain and migrate data pipelines, reporting models, dashboards, and automation for FinOps operations.
• Enhance cost allocation through 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.
• Document operational, development, deployment, and collaboration processes to build team data foundations.
• Leverage AI to accelerate and automate tasks such as cross‑functional campaigns and monitoring.
• Ensure continuity of FinOps tooling, reports, and capabilities.

Skills

FinOps

Cloud cost reporting

Budgeting

Cost optimization

Cross-functional collaboration

Data analysis

Communication

Python

Education

Bachelor's degree in CS/CE/Engineering

Equivalent practical experience

Tools

Azure

AWS

GCP

CloudZero

Vantage

CloudHealth

SQL

Power BI

Microsoft Fabric

Kubecost

Python

Job description

Cerence AI is seeking a FinOps Developer to drive cloud spend visibility and accountability across a global Azure‑first environment. You will modernize data pipelines, build automation, and establish scalable FinOps processes that place Cerence among the most cost‑effective businesses in the industry.

In your first year you will enhance cost transparency, port and optimize tooling for budgeting and reporting, and collaborate with cross‑functional teams to improve governance and efficiency.