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# Cloud FinOps Engineer - Kubernetes Optimization

- **Company:** Allstate Corporation
- **Location:** Springfield, IL, United States
- **Salary:** $142,500.0 - $197,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Monitoring of Systems, Python (Programming Language), Usage Analysis, Google Cloud, Kubernetes, Cloud Optimization, Terraform
- **Published:** October 15, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3022782078-2

## About the Role

* Cloud cost management and optimization
 * Fin
 * Ops practices and reporting
 * Kubernetes cost optimization
 * AWS, Azure, or Google Cloud Platform
 * Kubernetes administration
 * Infrastructure as Code (Terraform or equivalent)
 * Cloud billing and usage analysis
 * Monitoring and observability tools
 * Scripting with Python, Bash, or similar
 * Stakeholder communication and cross-functional collaboration

## Description

Join Allstate as a FinOps Engineer focused on cloud and Kubernetes optimization. Help improve the cost efficiency, reliability, and performance of cloud platforms supporting insurance and financial products. Analyze usage and billing data, identify savings opportunities, build cost visibility and governance practices, and partner with engineering, finance, and product teams to put recommendations into action. Apply cloud and Kubernetes expertise, automation, and clear reporting to balance spending with operational needs. Allstate offers a collaborative, inclusive, customer-focused environment with flexible work, well-being support, continuous learning, and opportunities for professional growth. Bring integrity, curiosity, and a continuous-improvement mindset to technology initiatives that help customers and communities., * Analyze cloud billing, usage, and Kubernetes resource data to identify optimization opportunities.

 * Recommend and implement cost-saving improvements while balancing reliability and performance.
 * Develop cost visibility, allocation, forecasting, and governance practices.
 * Automate cloud cost reporting and optimization workflows.
 * Collaborate with engineering, finance, and product teams to apply recommendations.
 * Track outcomes and communicate savings, trends, and operational trade-offs.