FinOps Engineer, Cloud & Kubernetes Optimization

Job summary

This role helps engineering and product teams understand and optimize costs across cloud and containerized workloads. It analyzes cloud and Kubernetes usage, identifies savings opportunities, builds scripts, API integrations, reports, dashboards, and forecasts, and supports cloud commitment planning. The role also advances FinOps practices, including workload optimization, unit economics, and cost management for emerging technologies such as AI.

Benefits

Qualifications

• Hands-on experience with at least one major cloud platform.
• Experience analyzing or optimizing cloud infrastructure, containerized applications, or Kubernetes workloads.
• Working knowledge of cloud billing, usage, cost allocation, forecasting, or cost optimization.
• Ability to use Python or another scripting language for automation, API calls, data preparation, or integration.
• Experience using data to identify trends, investigate issues, and develop actionable recommendations.
• Ability to explain technical and financial information to engineering, finance, product, and leadership audiences.

Responsibilities

• Analyze cloud and Kubernetes usage to identify idle capacity, inefficient workloads, cost anomalies, and optimization opportunities.
• Partner with engineering and product teams to evaluate recommendations and support implementation.
• Build scripts, API integrations, and repeatable workflows to automate analysis and connect data sources.
• Develop reports, dashboards, forecasts, and cost insights to support cloud spending plans.
• Support cloud commitment planning, reservations, and savings programs.
• Expand FinOps practices through standards, documentation, education, and tools.

Skills

Certifications

Industry

Relocation