Summary of Duties:
Design and implement intelligent, predictable, reliable, scalable, cost-efficient, and easy-to-use platforms and frameworks for Data Science Machine Learning (DSML), Enterprise Data Lake/Warehouse (EDL/EDW), Master Data Management (MDM) functions.Design and implement Azure cloud infrastructure, including but not limited to storage, data factories, key vaults, virtual networking, virtual machines, and automated deployments.Evaluate and automate the scaling and capacity requirements within Azure environment.Implement, setup, configure, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance issues, connectivity issues, security issues.Make recommendations and execute cost saving strategies for Cloud services.Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles.Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset.Work collaboratively in teams and develop meaningful relationships to achieve common goals.Drive efficient resolution for system outages as well as performance and functional shortcomings. Engage in critical support situations and effectively, efficiently, and quickly drive successful resolution.Qualifications:
Master’s degree in Computer Science, Information Systems, Information Technology, Engineering (any), Business, or a related field of study AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master’s degree in Computer Science, Information Systems, Information Technology, Engineering (any), Business, or a related field of study AND Three (3) years of experience, the employer will also accept a Bachelor’s degree in Computer Science, Information Systems, Information Technology, Engineering (any), Business, or a related field of study AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Cloud Platform Engineering in an enterprise-level environment; Python, SQL, GitHub, Azure DevOps, Bicep/ARM/Terraform, and PowerShell; Understanding Infrastructure-as-Code and configuration management automation tools; Using DevOps with a clear understanding of related tools, structure, and processes within an Agile/Scrum setting; Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies; Well versed in SRE practices, testing frameworks, and building CI/CD pipelines; and Leading the end-to-end design and development of scalable services to be consumed by the enterprise (monitoring and production support services).
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.