Sr. FinOps Engineer

FinOps Weekly; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

FinOps Weekly is seeking a Sr. FinOps Engineer to advance cloud financial management across AWS, AliCloud, and Azure. The role emphasizes automation, tagging compliance, budget controls, anomaly guardrails, and AI-enabled cost optimization.

You will partner with Engineering, Finance, Product, Architecture, Security, and Procurement to deliver measurable cloud savings and governance for AI/GenAI workloads.

Qualifications

• 7+ years of IT experience with cloud expertise.
• Experience with AWS, AliCloud, and Azure.
• Strong OS scripting and automation skills (Python, Bash).
• Proven track record in FinOps or cloud cost optimization strategies.
• Familiarity with AI/ML cost management and stakeholder leadership.

Responsibilities

• Analyze cloud usage and resource utilization to identify cost-improvement opportunities.
• Build automation for tagging, budget controls, anomaly guardrails, and workload optimization.
• Design and implement AI-enabled FinOps capabilities to improve cost visibility.
• Establish FinOps governance for AI/ML and GenAI workloads.
• Implement cost trend analysis and anomaly detection tools.
• Support forecasting, chargeback/showback, and unit economics efforts.
• Collaborate with Finance and business teams to align cloud spend with budget.

Skills

Cloud cost optimization

Multi-cloud platforms

Python scripting

Bash scripting

GenAI cost mgmt

Stakeholder leadership

Job description

# Sr. FinOps EngineerUnited StatesFinOpsNot Specified15/07/2026OtherRemoteFavoriteAccess Job## Job Description# Sr. FinOps Engineer \*\*Contract to Hire | Fully Remote\*\*## About the Role This role focuses on improving cloud financial management by building automation and controls that support tagging compliance, budget and anomaly guardrails, workload optimization, forecasting, chargeback/showback, anomaly detection, and unit economics. The scope includes public cloud, container platforms, data services, and AI/GenAI workloads.The Senior FinOps Engineer will work closely with Engineering, Finance, Product, Architecture, Security, Procurement, and AI/ML teams to develop scalable FinOps capabilities. The main objective is to improve cost transparency, strengthen financial accountability, and deliver measurable cloud savings.Finance## Key Responsibilities – Analyze cloud usage and resource utilization to identify improvement opportunities. – Build automation for tagging compliance, budget controls, anomaly guardrails, and workload optimization. – Design and implement AI-enabled FinOps capabilities to improve cost visibility and optimization. – Establish FinOps governance for AI/ML and GenAI workloads. – Implement and maintain automated tools for cost trend analysis and anomaly detection. – Support forecasting, chargeback/showback, and unit economics efforts. – Partner with Finance and business teams to align cloud spending with budget constraints.## Required Skills – 7+ years of experience in information technology with cloud expertise. – Experience with AWS, AliCloud, and Azure. – Strong OS scripting and automation skills, including Python and Bash. – Proven experience developing and implementing FinOps or cloud cost optimization strategies. – Familiarity with AI/ML cost management and stakeholder leadership.## Cloud Platforms & Technologies \*\*Cloud Providers\*\* – AWS – AliCloud – Azure\*\*Programming Languages / Scripting\*\* – Python – Bash\*\*Platform and Workload Areas\*\* – Public cloud – Container platforms – Data services – AI/ML workloads – GenAI workloads## FinOps Responsibilities – Improve cloud cost transparency and financial accountability. – Build automation for tagging compliance and budget/anomaly guardrails. – Support cloud cost optimization and workload optimization. – Enable forecasting, chargeback/showback, and unit economics. – Implement cost trend and anomaly detection capabilities. – Establish governance for AI/ML and GenAI cloud spend. – Align cloud spending with budgetary constraints.## Why You Might Be Interested This is a fully remote, contract-to-hire opportunity with broad exposure across public cloud and AI/ML-related environments. The role offers close collaboration with teams across engineering, finance, product, architecture, security, procurement, and AI/ML. It is well suited to someone who wants to build scalable FinOps capabilities and directly influence cloud spending outcomes.