Job Description Summary: Auto Zone is seeking an experienced Fin Ops Engineer to help advance and mature our Fin Ops 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 Fin Ops capabilities. Maintaining strong financial stewardship remains a priority as our cloud footprint continues to grow. This position will be instrumental in evolving our Fin Ops 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 Fin Ops 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 Auto Zone's Fin Ops practices and capabilities. Responsibilities Contribute, influence, and provide subject matter expertise in the continued evolution of the Fin Ops Roadmap for Auto Zone Advance and automate Cloud Fin Ops practices, including optimization, allocation, forecasting, and cost governance Contribute to Ia C and reference architecture with Fin Ops 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 Fin Ops 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 Fin Ops operates at scale Apply engineering, data, and AI capabilities to improve Fin Ops 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 Fin Ops 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, Java Script (Typescript/Node JS), 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 Big Query, 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 Fin Ops tooling, cloud billing data, and cost allocation practices Experience with cloud cost data, reporting, forecasting, or optimization automation Familiarity with Fin Ops standards such as FOCUS is a plus Responsibilities Contribute, influence, and provide subject matter expertise in the continued evolution of the Fin Ops Roadmap for Auto Zone Advance and automate Cloud Fin Ops practices, including optimization, allocation, forecasting, and cost governance Contribute to Ia C and reference architecture with Fin Ops 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 Fin Ops 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 Fin Ops operates at scale Apply engineering, data, and AI capabilities to improve Fin Ops 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 Fin Ops 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, Java Script (Typescript/Node JS), 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 Big Query, 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 Fin Ops tooling, cloud billing data, and cost allocation practices Experience with cloud cost data, reporting, forecasting, or optimization automation Familiarity with Fin Ops standards such as FOCUS is a plus About Autozone Auto Zone 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 Auto Zoners nationwide. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and Auto Zoners. Working at Auto Zone 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. Auto Zone, 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 #J-18808-Ljbffr

📌 Systems engineer-nch (Colón)
🏢 AutoZone
📍 Colón