FinOps Engineer
Core
Implement and promote Cloud FinOps best practices across multi-cloud environments (Azure, AWS, GCP) using AI-driven automation to optimize costs and resource utilization.
Role type
FinOps Engineer
Builds
Automated cost analysis and optimization workflows for multi-cloud platforms
Domain
Cloud Infrastructure & Financial Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Multi-cloud expertise (Azure, AWS, GCP), Cloud cost management, AI/ML for automation, Python, SQL, API integration, rightsizing, Reserved Instances, Savings Plans, commitment discounts, technical documentation
Preferred skills
FinOps practitioner certification, cloud cost management tools (e.g., CloudHealth), advanced AI/ML application in operations
Technologies
Azure, AWS, GCP, Python, SQL, Power BI, CloudHealth
Responsibilities
Monitor and optimize cloud resource usage to identify waste and cost anomalies; Develop automations for collecting, analyzing, and processing cloud usage and cost data; Support Architecture, Engineering, and Operations teams in adopting cost-efficient architectures; Execute optimization initiatives including rightsizing and unused resource elimination; Produce in-depth technical analyses on consumption, performance, and financial efficiency; Contribute to the evolution of the organization's FinOps strategy; Act as a technical reference for efficiency and governance in multi-cloud environments
Seniority
Mid-Senior, hands-on IC