Job Description
Summary:

AutoZone is seeking an experienced FinOps Engineer to help advance and mature our FinOps practice. We have made significant progress in our public cloud journey with

Google Cloud Platform as our primary provider and are now focused on optimization, modernization, automation, and building the next generation of FinOps

capabilities. Maintaining strong financial stewardship remains a priority as our cloud footprint continues to grow. This position will be instrumental in evolving our FinOps

capabilities, improving how we optimize and allocate technology spend, and building automation and engineering solutions that help us get the most value from every dollar

invested in cloud. Our FinOps organization works closely with financial, engineering, architecture, product, and business stakeholders to drive cost transparency, accountability,

optimization, and better technology investment decisions. This position will also be responsible for training stakeholders on AutoZone's FinOps practices and capabilities.

Responsibilities

Contribute, influence, and provide subject matter expertise in the continued evolution of the FinOps Roadmap for AutoZone

Advance and automate Cloud FinOps practices, including optimization, allocation, forecasting, and cost governance

Contribute to IaC and reference architecture with FinOps discipline and rationale

Enhance cloud spend reporting and cost allocation capabilities

Develop and improve cloud spend forecasting

Build and maintain data pipelines and data products supporting FinOps reporting, allocation, forecasting, and optimization

Develop dashboards and self-service analytics that provide actionable financial and operational insights to engineering, finance, and leadership teams

Provide reporting & readouts to executives around cloud spend, usage, optimization, and value

Work cross functionally to identify and execute cloud cost optimization and modernization opportunities

Partner with Product and Engineering teams to achieve cost optimizations across initiatives

Build automation and self-service capabilities that improve how FinOps operates at scale

Apply engineering, data, and AI capabilities to improve FinOps processes and decision making

Work with varying degrees of technical and financial skillsets, such as product engineers and non-technical product owners

Bridge gaps in finance and technology working with business and IT leaders

Work with varying groups from product teams to business leaders to influence strategy, architecture, and cloud usage

Work on a distributed team using chat and collaboration software for primary communications

Requirements

Bachelor's degree in Computer Science, MIS, Information Technology, or closely related degree (Required)

Experience in Cloud Cost optimization or similar FinOps role

Experience in a major public cloud provider such as AWS, Azure or GCP

Strong Technical and Financial acumen





Development experience in one or more of the following: Java, JavaScript (Typescript/NodeJS), Python

Experience and understanding of serverless and cloud-native technologies including Cloud Functions, Cloud Run, GKE, or similar platforms

Experience with reporting, data visualization, cloud billing data, and large-scale data analysis

Familiarity in developing software using Agile processes and the Scrum framework

Experience in Google Cloud Platform, including cloud native services and pricing models

Experience with BigQuery, Dataflow, Looker, and other cloud-native data and analytics technologies

Experience building and maintaining data pipelines, transformations, data models, and large-scale analytical datasets

General data engineering experience, including SQL, ETL/ELT patterns, data quality, and data integration

Experience building dashboards, semantic models, and self-service analytics using Looker or similar business intelligence platforms

Familiarity with Terraform

Hands on Financial/Accounting experience

Familiarity with FinOps tooling, cloud billing data, and cost allocation practices

Experience with cloud cost data, reporting, forecasting, or optimization automation

Familiarity with FinOps standards such as FOCUS is a plus

Responsibilities

Contribute, influence, and provide subject matter expertise in the continued evolution of the FinOps Roadmap for AutoZone

Advance and automate Cloud FinOps practices, including optimization, allocation, forecasting, and cost governance

Contribute to IaC and reference architecture with FinOps discipline and rationale

Enhance cloud spend reporting and cost allocation capabilities

Develop and improve cloud spend forecasting

Build and maintain data pipelines and data products supporting FinOps reporting, allocation, forecasting, and optimization

Develop dashboards and self-service analytics that provide actionable financial and operational insights to engineering, finance, and leadership teams

Provide reporting & readouts to executives around cloud spend, usage, optimization, and value

Work cross functionally to identify and execute cloud cost optimization and modernization opportunities

Partner with Product and Engineering teams to achieve cost optimizations across initiatives

Build automation and self-service capabilities that improve how FinOps operates at scale

Apply engineering, data, and AI capabilities to improve FinOps processes and decision making

Work with varying degrees of technical and financial skillsets, such as product engineers and non-technical product owners





Bridge gaps in finance and technology working with business and IT leaders

Work with varying groups from product teams to business leaders to influence strategy, architecture, and cloud usage

Work on a distributed team using chat and collaboration software for primary communications

Requirements

Bachelor's degree in Computer Science, MIS, Information Technology, or closely related degree (Required)

Experience in Cloud Cost optimization or similar FinOps role

Experience in a major public cloud provider such as AWS, Azure or GCP

Strong Technical and Financial acumen

Development experience in one or more of the following: Java, JavaScript (Typescript/NodeJS), Python

Experience and understanding of serverless and cloud-native technologies including Cloud Functions, Cloud Run, GKE, or similar platforms

Experience with reporting, data visualization, cloud billing data, and large-scale data analysis

Familiarity in developing software using Agile processes and the Scrum framework

Experience in Google Cloud Platform, including cloud native services and pricing models

Experience with BigQuery, Dataflow, Looker, and other cloud-native data and analytics technologies

Experience building and maintaining data pipelines, transformations, data models, and large-scale analytical datasets

General data engineering experience, including SQL, ETL/ELT patterns, data quality, and data integration

Experience building dashboards, semantic models, and self-service analytics using Looker or similar business intelligence platforms

Familiarity with Terraform

Hands on Financial/Accounting experience

Familiarity with FinOps tooling, cloud billing data, and cost allocation practices

Experience with cloud cost data, reporting, forecasting, or optimization automation

Familiarity with FinOps standards such as FOCUS is a plus

About Autozone
AutoZone de México is the leading retailer and distributor of automotive parts and accessories in the Americas. In Mexico, there are more than 800 stores; two distribution centers; one Store Support Center, the Centro de Apoyo a Tiendas (CAT) is located in Monterrey, México,; one Business and Technology Store Support Center (BTSSC) located in Chihuahua more than 16,000 AutoZoners nationwide.

Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.

Job Schedule
Full time

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