Relocation assistance: No

Candidates hired for this role will be required to start on site from Day 1 following the hybrid work option, two days in the office. This position is for candidates in Dallas, Tampa, or Jersey.

This role is contract to hire!

The Principal Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. The successful candidate will collect system resource data along with business volume data for analysis using sound data science principles. One needs to know which types of data are used in Capacity Planning and 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 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 in Excel is a plus. Monthly Mainframe Capacity Reports, including

Measurement of system resources used for all LPARs
Usage Trends, Top-N lists, Peak Profiles, Threshold Exception, etc.
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 the frequency of a specific function, transaction, or job

Principal Capacity Planning Engineer fo...