Google Cloud Platform Systems Engineer

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