FinOps Engineer, Cloud & Kubernetes Optimization

Overview

Help technology and product teams understand, analyze and optimize the cost of their cloud and containerized workloads, translating usage data into actionable recommendations.

What you'll do

• Analyze cloud and Kubernetes usage to identify idle capacity, inefficient workloads, cost anomalies, and practical optimization opportunities.
• Partner with engineering and product teams to evaluate recommendations, explain expected impact, and support implementation.
• Build lightweight scripts, API integrations, and repeatable workflows that reduce manual analysis and connect relevant data sources.
• Develop reports, dashboards, forecasts, and cost insights that help teams understand spending trends and plan future cloud usage.
• Support cloud commitment planning, reservations, savings programs, and other strategies that improve overall cloud-cost efficiency.
• Help expand FinOps practices through standards, documentation, education, and tools that enable product and engineering teams to take greater ownership of their cloud costs.

What you'll need

• Hands-on experience working with at least one major cloud platform, such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience analyzing or optimizing cloud infrastructure, containerized applications, or Kubernetes-based workloads.
• Working knowledge of cloud billing, usage, cost allocation, forecasting, or cost-optimization concepts.
• Ability to use Python or another scripting language for basic automation, API calls, data preparation, or systems integration.
• Experience using data to identify trends, investigate issues, and develop clear, actionable recommendations.
• Strong communication skills, including the ability to explain technical and financial information to engineering, finance, product, and leadership audiences.

Nice to have

• Experience with FinOps, cloud financial management, technology business management, or cloud-cost optimization.
• Familiarity with tools such as Apptio Cloudability, VMware CloudHealth, Finout, Adaptive6, or cloud-native cost-management platforms.
• Experience with Kubernetes cost allocation, workload rightsizing, autoscaling, cluster efficiency, or shared-cost analysis.
• Experience using SQL, Excel, Power BI, Tableau, Datadog, or similar analytical and observability tools.
• Familiarity with Infrastructure as Code, Terraform, CI/CD pipelines, developer portals, or engineering automation workflows.
• Exposure to unit economics, AI cost governance, token consumption, model-selection economics, or FinOps Foundation practices and certifications.

Details

• Location: US - Remote.
• Compensation: 98,100.00 - 167,850.00 annually, based on experience and qualifications.
• Background investigation required for the offered candidate.
• Allstate generally does not sponsor individuals for employment-based visas for this position.