Mainframe DevOps Migration Architect

Machine Learning Technologies, LLC; Louisiana; On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in the United States is seeking a senior Mainframe DevOps Engineer to lead Endevor-to-Git/DBB/IDD migrations across z/OS environments. You will architect DevOps pipelines using Git, DBB, IDD, Wazi Deploy, and modern CI/CD platforms, and guide clients through modernization programs.

We value deep z/OS/USS experience, strong consulting skills, and the ability to train teams on Git workflows and pipeline debugging. Travel may be required.

Qualifications

• 10+ years as a Systems Programmer, Application Developer, or Mainframe DevOps Engineer.
• Strong z/OS and USS experience; SMP/E/JES2/JES3 knowledge a plus.
• Experience with Endevor-to-Git/DBB/IDD migrations and modern CI/CD tools.

Responsibilities

• Lead Endevor-to-Git/DBB/IDD migration projects across enterprise z/OS environments.
• Architect and implement DevOps pipelines using Git, DBB, IDD, Wazi Deploy, and CI/CD platforms.
• Install, configure, and troubleshoot DBB, Git, IDD, and Wazi on z/OS and USS.
• Analyze, convert, validate, and troubleshoot Endevor applications, metadata, and dependencies.
• Deliver customer training sessions and enablement for Git/DBB/IDD/Wazi workflows.
• Collaborate with IBM teams and clients to ensure modernization outcomes.

Skills

Migration leadership

DevOps leadership

Customer-facing consulting

Tools

Endevor

Git

DBB

IDD

Wazi Deploy

z/OS

USS

SMP/E

JES2/JES3

Jenkins

GitHub Actions

Azure DevOps

GitLab CI/CD

Artifactory

Nexus

Zowe CLI

Job description

Machine Learning Technologies, LLC in the United States is seeking a senior Mainframe DevOps Engineer to lead Endevor-to-Git/DBB/IDD migrations across z/OS environments. You will architect DevOps pipelines using Git, DBB, IDD, Wazi Deploy, and modern CI/CD platforms, and guide clients through modernization programs.

We value deep z/OS/USS experience, strong consulting skills, and the ability to train teams on Git workflows and pipeline debugging. Travel may be required.