Sr. FinOps Cloud Engineer
Alteryx (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead cloud financial operations by architecting automated cost reporting, anomaly detection, and cost optimization workflows across multi-cloud environments.
- Manage cloud commitment portfolios and enforce cost governance policies, partnering with engineering, platform, AI/ML teams, and finance to establish FinOps practices, especially for AI workloads.
- Deliver unit cost metrics and TCO/ROI models for AI infrastructure, driving financial visibility and efficiency to influence cloud architectural and procurement decisions.
Minimum Requirements
- 5+ years experience in cloud engineering, DevOps, SRE, or cloud financial management, with strong AWS and/or Google Cloud expertise; familiarity with Azure.
- Proven application of FinOps principles and hands-on experience with multi-cloud cost management tools and commitment portfolios (Savings Plans, Reserved Instances).
- Advanced SQL skills and experience with data workflows, dashboards (Apache Superset), and automated anomaly detection algorithms.
- Strong scripting or coding skills (Python, Bash, or Go) for automation; strong communication skills for cross-team collaboration.
Ideal Candidate Profile
- Experienced in technical FinOps roles bridging cloud infrastructure, data engineering, and business economics in global engineering orgs.
- Skilled at building automated, scalable cloud cost management and anomaly detection solutions with measurable impact on cost and operational efficiency.
- Comfortable working across multi-cloud platforms (AWS, GCP, Azure) and implementing FinOps practices specifically tailored to AI/ML workloads and emerging cloud technologies.