Engineer II-Data & AI Azure Platform Engineer
| Company | CarMax |
|---|---|
| Location | Dallas, TX, USA, Richmond, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
Requirements
- 3+ years Cloud Platform Engineering experience in an enterprise-level environment
- Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep/Terraform, PowerShell is required
- Deep understanding and hands on experience with Infrastructure-as-Code, and configuration management automation tools is required
- 3+ years of DevOps experience with a clear understanding of related tools, structure, and processes working in an Agile/Scrum setting
- 1+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
- Excellent communication skills, adapting to various audience types
- Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization
- Effective problem-solving, analytical thinking, cloud-native and security-first mind set, documentation, communication, and presentation skills
- Ability to positively influence team norms, culture, and technical vision
Responsibilities
- Build, deploy, and configure Azure infrastructure, including but not limited to Azure Data Factory, storage, key vaults, virtual networking, virtual machines, and automated deployments
- Automate infrastructure deployment through Infrastructure as Code and CI/CD pipelines
- 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
- 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
- Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles
- 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
- Design and implement solutions that leverage cloud services such as serverless computing, containers, and data lakes.
Preferred Qualifications
- Bachelor’s in Computer Science or equivalent area
- Experience with cloud services such as Snowflake, Databricks, Synapse, SQL, CosmosDB, Data Factory, Event Hub, Functions, Batch, Key Vault, Managed Identity, Service Principal, Networking, Active Directory, Log Analytics, Monitoring
- Windows and Linux server/systems administration experience is highly desired
- Azure Administrator certification, Solution Architect, or Databricks Platform Administrator certification, Snowflake SnowPro certification is a strong plus
- Experience with Azure cost management and forecasting is desired