Mainframe Automation
Remote
12 Months
Skills Required for SAS-to-SLC Mainframe Migration Automation
Successful automation of SAS-to-Altair SLC migration on the mainframe requires resources with both application migration expertise and strong knowledge of the z/OS operating environment. The objective is to develop repeatable automation that can analyze, convert, deploy, validate, and remediate workloads at scale rather than relying on manual program-by-program migration.
Key skills include:
REXX – Development of automation scripts for workload discovery, code and JCL analysis, bulk updates, conversion routines, validation, reporting, and repeatable migration processes.
JCL – Deep understanding of batch execution, PROC usage, DD statements, datasets, utilities, return codes, scheduling dependencies, and the changes required to execute migrated workloads under SLC.
SAS Programming – Ability to interpret existing SAS programs, macros, libraries, formats, data steps, procedures, and dependencies and identify patterns requiring conversion or remediation.
Altair SLC / WPS – Hands-on knowledge of SLC execution, SAS-language compatibility, configuration, libraries, supported procedures, and differences requiring remediation.
z/OS and Mainframe Utilities – Experience with datasets, PDS/PDSE, VSAM, GDGs, catalog management, ISPF, TSO, SDSF, and standard IBM utilities necessary to automate deployment and execution.
Batch Scheduling and Dependency Management – Understanding of enterprise schedulers and job dependencies to preserve production workload sequencing and operational behavior.
Testing and Automated Validation – Ability to automate parallel execution and comparison of SAS versus SLC results, including return codes, datasets, reports, logs, record counts, data values, and output formatting.
Python / Automation Tooling – Where appropriate, use of Python and other tooling to supplement REXX/JCL for code parsing, pattern identification, bulk transformation, comparison, reporting, and migration orchestration.
DevOps / Source Management – Experience with Git, pipelines, version control, automated deployment, exception tracking, and repeatable promotion of converted workloads.
The most critical capability is mainframe automation engineering combined with SAS/SLC knowledge. The team must be able to identify recurring migration patterns and convert those patterns into reusable REXX, JCL, scripts, and tooling. This enables the program to move from individual workload remediation to an industrialized migration factory capable of operating at enterprise scale.
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