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Machine Learning Technologies, LLC in Chicago, IL seeks a Senior Mainframe System Automation Migration Engineer to lead the migration and optimization of mainframe automation solutions. You will manage transitions from CA OPS/MVS to IBM Tivoli Systems Automation for z/OS and from CA Automation Point to IBM SAIOM, ensuring efficiency and high availability.
Working with the Automation team, you will implement policy-based automation, reduce overhead, and enhance responsiveness across z/OS
Location: Chicago, IL
Duration: 24Months+ Extension
Domain Exposure: Utilities/ Energy
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Mainframe System Automation Migration Engineer
Location: Chicago, IL (Remote)
Duration: 24 Months + Extension
Bill Rate: $76/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
We are seeking an experienced Senior Mainframe Automation Engineer to lead the migration and optimization of mainframe automation solutions. This role focuses on transitioning from CA OPS/MVS to IBM Tivoli Systems Automation for z/OS and from CA Automation Point to IBM Systems Automation for Integrated Operations Management (SAIOM). The successful candidate will play a critical role in ensuring operational efficiency, system availability, and seamless automation processes within a complex z/OS environment.
You will collaborate closely with the Automation team to implement policy-based automation solutions, reduce administrative overhead, and enhance system responsiveness. This position does not impact application development but will significantly influence automation strategies and operations.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.