Mainframe

The Principal Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect system resource data along with business volume data for analysis using sound data science principles. One needs to be knowledgeable of which types of data are used in Capacity Planning and well as the sources and tools used to collect, validate, then process required data. One should be familiar with Mainframe infrastructure components. A strong mathematics background in both descriptive and inferential statistics is imperative to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. A solid foundation with Excel is a plus.

Monthly Mainframe Capacity Reports including

Data analysis - Descriptive and Inferential Statistics

Correlation Analysis, Business volume to System Resources

Pattern Recognition / Detection of outliers

Linear / Logistic Regression, ARIMA forecasts, integrating projections with forecast data

MICS support and maintenance

Ensure the successful daily processing / reporting of 30 different MICS units split by LPAR and work type (Examples: SMF/RMF component, CICS, DB2, MQ, mainframe web logs)

Apply MICS maintenance to support new processors, z/OS operating systems and general updates

Ad-hoc reporting inquiries such as frequency of a specific function, transaction, or job