FinOps Engineer, Cloud & Kubernetes Optimization

Allstate

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$98,100–$167,850 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $133k
$85k $223k
below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $126,800–$210,018 — the blue band above. At the midpoint, this role pays about $133k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 40 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 40 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · FinOps Engineer, Cloud & Kubernetes Optimization

JOB TITLE: FinOps Engineer, Cloud & Kubernetes Optimization The FinOps team seeks a FinOps Engineer to help technology and product teams understand and optimize cloud spending. You will analyze usage data to identify idle capacity, inefficient workloads, and cost anomalies while building lightweight automation, API integrations, and repeatable workflows. Your daily work involves translating complex data into actionable recommendations for engineering, finance, and leadership teams to improve cloud efficiency. You will utilize skills in Python, SQL, and various cloud platforms like AWS, Azure, or Google Cloud Platform. The role requires expertise in Kubernetes, Terraform, and CI/CD pipelines to manage containerized applications. You will solve business problems related to unit economics, AI cost management, and token-based consumption, ultimately helping the organization achieve measurable cost savings and proactive workload optimization across emerging technologies.

What you'll do

  • Analyze cloud and Kubernetes usage to identify idle capacity, inefficient workloads, and cost anomalies.
  • Partner with engineering and product teams to evaluate recommendations and support cost optimization implementation.
  • Build lightweight scripts, API integrations, and repeatable workflows to reduce manual data analysis.
  • Develop reports, dashboards, and forecasts to help teams understand spending trends and plan future usage.
  • Support cloud commitment planning, reservations, and savings programs to improve overall cost efficiency.
  • Create standards, documentation, and tools to help engineering teams take ownership of their cloud costs.

What we're looking for

  • Hands-on experience with at least one major cloud platform like 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 to explain technical and financial information to engineering, finance, product, and leadership audiences.
  • Experience with FinOps, cloud financial management, technology business management, or cloud-cost optimization (preferred).
  • Familiarity with tools such as Apptio Cloudability, VMware CloudHealth, Finout, Adaptive6, or cloud-native cost-management platforms (preferred).

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