Lead migrations of mainframe automation from CA OPS/MVS and CA Automation Point to IBM Systems Automation (Tivoli/SAIOM). Configure, install, and troubleshoot IBM Systems Automation for z/OS, develop REXX execs and PDB policies, collaborate with operations to improve startup, shutdown, recovery, and HA automation processes.
We are seeking an experienced Senior Mainframe Automation Migration Engineer to lead migration and optimization of mainframe automation solutions 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).
Key Responsibilities
- Lead migration projects from CA OPS/MVS to IBM Tivoli Systems Automation for z/OS and from CA Automation Point to IBM SAIOM.
- Configure and implement IBM Systems Automation solutions, including policy-based automation for z/OS
- Develop and maintain automation rules, REXX execs, and System Automation Policy Database (PDB)
- Provide installation, configuration, and troubleshooting support for IBM automation products.
- Collaborate with operations teams to improve startup, shutdown, recovery, and high-availability automation processes.
Mandatory Skills and Experience
- Proven experience in mainframe operations and z/OS automation
- Hands-on migration experience from Non-IBM / ISV automation tools—especially CA OPS/MVS and CA Automation Point—to IBM Systems Automation solutions.
- Advanced knowledge of IBM Tivoli Systems Automation for z/OS.
- Working knowledge of NetView for z/OS and System Automation Policy Database (PDB).
- Strong TSO/ISPF, JCL, and REXX programming skills.
- Demonstrated experience in installation, configuration, documentation, and automation-related troubleshooting.
Preferred / Additional Skills
- Knowledge of SMP/E for software installation and maintenance.
- Experience with fully automated system configurations on IBM Z.
Phizenix Livermore, California, USA Office
101 E. Vineyard Ave, Suite #119–115, Livermore, CA , United States, 94550
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Execute end-to-end digital advertising across Search, Display, Social, and Video for a 50+ account portfolio. Monitor KPIs, perform keyword research, create ads, troubleshoot and optimize campaigns, produce monthly reports, consult with clients to retain and grow budgets, and maintain required platform certifications. Handle client communications, track actions for audit, and perform limited travel (5%).
Top Skills:
CSSFtpGoogle AdsGoogle AnalyticsHTMLHTTPMicrosoft AdvertisingSalesforceSeo
Software • Defense
As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.
Top Skills:
AWSKubernetesLarge Language ModelsNode.jsPostgresRedisTypescriptVector Databases
Software • Defense
As an Outcome Engineer at Onebrief, you will architect multi-agent systems, implement automated governance, and prototype AI tools, transforming product development in a collaborative environment.
Top Skills:
AWSKubernetesLarge Language ModelsNode.jsPostgresRedisTypescriptVector Databases
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
