Who are we looking for?  

Oracle Analytics Service Excellence (OASE) partners with the development team within Oracle Analytics to improve uptime of the services offered (Oracle Analytics Cloud, Fusion Data Intelligence primarily).  

The ideal candidate is looking to work in an agile environment on problems that are focused on improving uptime by reducing time to mitigation when issues are surfaced/reported by automated means or through customer incidents; contributing to code for automation of monitoring, patching, and remediation of service anomalies; and, working on projects that enable the business of Oracle Analytics to grow profits or shrink costs as they are identified and funded as priorities for our group to drive or participate in the proposed solutions.

This specific role will have an initial focus on automating a repeatable set of representative customer workloads and comparing performance from build to build while looking for negative and positive performance anomalies.  The goals is to build from scratch the modeling of the workloads, storage, loading, and performance testing metrics collection and reporting of the workload performance against data of appropriate representative customer scale.  This will involve development of code from scratch including the design, documentation, shepherding through approval of architecture, and implementation; cloud services; CI/CD pipeline of the solution; automation of data loads; working with performance testers to simulate load; collection and reporting of metrics to identify anomalies in performance. 

Career Level - IC3