Responsibilities:

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AutoZoners have a contagious work ethic; including a high sense of urgency to resolve issues quickly, creatively, and efficiently. As a Systems Engineer, you will be expected to:

- 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

📌 Google Cloud Platform Systems Engineer (Chihuahua)
🏢 SERVICE ZONE
📍 Chihuahua