Platform Engineer

• Support and administer the Content Delivery Network (CDN), including caching strategies, traffic routing, performance optimization, and edge service configurations
• Partner with engineering teams to improve CI/CD pipelines, deployment processes, and software delivery workflows
• Troubleshoot and resolve issues across content delivery infrastructure, including internal applications and ecommerce applications
• Develop automation and Infrastructure-as-Code solutions to improve platform scalability, consistency, and operational efficiency
• Monitor platform health, performance, and adoption through observability tools and implement improvements based on operational insights
• Participate in on-call support rotation, incident response, root cause analysis, platform upgrades, capacity planning, and continuous improvement initiatives
• Create and maintain technical documentation, operational procedures, standards, and support playbooks
• Evaluate emerging technologies that can improve developer and customer experiences
• Support engineering platforms including GitLab, GitLab Runners, Sonatype Nexus, Cursor, and other developer productivity tools
• Partner with application development, Site Reliability Engineering, Information Security, Infrastructure, and Architecture teams

Platform Engineer, Content Delivery, Engineering Tools

• Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads
• Manage platform configurations, cluster performance, capacity planning, and operational stability
• Monitor platform health and troubleshoot performance, reliability, and operational issues
• Support lifecycle management of platform resources across development, testing, and production environments
• Develop and maintain Infrastructure as Code solutions using Terraform
• Support cloud-based data infrastructure within Azure environments
• Implement automation to improve platform consistency, reliability, and operational efficiency
• Partner with infrastructure and security teams to ensure adherence to enterprise standards
• Build and support data ingestion frameworks and pipelines
• Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads
• Support structured and unstructured data workloads within cloud data environments
• Assist in identifying and resolving data performance bottlenecks
• Support data governance initiatives using Databricks Unity Catalog
• Implement and maintain data access controls, permissions, and governance standards
• Ensure compliance with organizational security and data management requirements
• Contribute to metadata, lineage, and data quality practices
• Evaluate new tools, technologies, and platform capabilities
• Recommend improvements that enhance scalability, reliability, and developer productivity
• Document platform standards, operational procedures, and support processes
• Participate in incident response, root cause analysis, and operational reviews
• Work independently with limited direction and partner with data engineers, architects, analysts, and business stakeholders
• Help ensure the enterprise data platform remains scalable, secure, and efficient

Databricks Platform Engineer

• Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads
• Manage platform configurations, cluster performance, capacity planning, and operational stability
• Monitor platform health and troubleshoot performance, reliability, and operational issues
• Support lifecycle management of platform resources across development, testing, and production environments
• Develop and maintain Infrastructure as Code solutions using Terraform
• Support cloud-based data infrastructure within Azure environments
• Implement automation to improve platform consistency, reliability, and operational efficiency
• Partner with infrastructure and security teams to ensure adherence to enterprise standards
• Build and support data ingestion frameworks and pipelines
• Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads
• Support structured and unstructured data workloads within cloud data environments
• Assist in identifying and resolving data performance bottlenecks
• Support data governance initiatives using Databricks Unity Catalog
• Implement and maintain data access controls, permissions, and governance standards
• Ensure compliance with organizational security and data management requirements
• Contribute to metadata, lineage, and data quality practices
• Evaluate new tools, technologies, and platform capabilities
• Recommend improvements that enhance scalability, reliability, and developer productivity
• Document platform standards, operational procedures, and support processes
• Participate in incident response, root cause analysis, and operational reviews
• Partner with data engineers, architects, analysts, and business stakeholders to maintain a scalable, secure, and efficient enterprise data platform