Mainframe Capacity Planning Engineer - US

StradIT; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

StradIT seeks a Senior Mainframe Capacity Planning Engineer to monitor and analyze mainframe capacity, collecting and validating system data with SAS on z/OS and distributed environments. You will interpret descriptive statistics to forecast capacity and support business volumes across multiple sites.

Responsibilities include building reports, editing JCL in ISPF, maintaining documentation, and supporting MICS/MXG tasks. Strong analytical skills and mainframe data familiarity are required.

Qualifications

• Minimum of 5 years of related experience.
• Bachelor’s degree in mathematics or statistics preferred or equivalent work experience.
• SAS experience required.
• Understanding of mainframe technology and components.
• MICS/MXG experience essential.
• Familiarity with SMF/RMF data and mainframe capacity/performance metrics.
• MS Office skills, particularly Excel and PowerPoint.

Responsibilities

• Mainframe capacity planning and reporting.
• Run and validate data collection and reporting processes.
• Design basic SAS reports and dashboards.
• Edit and maintain JCL in ISPF.
• Create/update policies and job aids.
• Learn and diagnose MICS/MXG data architecture.
• Analyze business volumes and prepare risk assessments.
• Produce capacity planning documentation for audits.

Skills

Analytical skills

Descriptive statistics

Data exploration

Inferential statistics

Education

Bachelor's degree in mathematics or statistics

Tools

SAS

ISPF

SMF

RMF

CICS

DB2

MQ

Excel

PowerPoint

Job description

Role: Mainframe Capacity Planning Engineer

Experience: 5 to 10 Years

Employment: W2 (GC and USC only)

Locations: Jersey City NJ, Tampa FL, Dallas TX & Boston MA

Position Summary

The Senior 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, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.

Specific Responsibilities

Mainframe capacity planning

• Run and validate the Data Collection and Reporting process using scheduling software.
• Design basic reports using SAS
• Build and Edit JCL in ISPF
• Creating / Updating policies, job aids and other documentation

MICS/MXG support and maintenance

• Learn MICS/MXG Database Architecture
• Diagnose MICS related errors.
• Able to execute and validate MICS administrative tasks to maintain proper maintenance.

Data analysis - Descriptive Statistics

• Basic methods to Summarize Data
• Display data in an organized manner.
• Able to identify, describe patterns and relationships.

Business volumes and other reporting

• Collection and reporting of business volume data from varied sources.
• Risk assessments of extreme market conditions for selected business streams
• Produce/update a Business Process Requirements document for selected business streams.

Management / Regulatory / Audit

• Organize and store Capacity Planning artifacts in their proper location for future retrieval.
• Ad hoc report development for senior business and management forums

Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

Qualifications

• Minimum of 5 years of related experience
• Bachelor’s degree in a mathematics / statistics discipline preferred or equivalent work experience

Specific Skills & Technologies

• SAS experience required.
• Understanding of mainframe technology and components
• MICS/MXG experience essential.
• Familiarity with mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ)
• MS Office skills, in particular intermediate PowerPoint, and Excel skills
• Excellent analytical skills including data exploration, analysis, and production of models.
• Solid background with Descriptive Statistics
• Inferential Statistics are a plus.