Principal Automation Architect - Mainframe & Hybrid Cloud

MainframeMaster

United States

On-site

USD 180,000 - 240,000

Full time

39 hours ago
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Job summary

MainframeMaster is seeking a Senior Principal Software Engineer to lead Workload Automation initiatives across mainframe and hybrid cloud environments. You will drive architecture, mentoring of global teams, and collaboration with product management, sales, and engineering to deliver secure, reliable automation platforms.

You will guide modernization, promote scalable automation, and implement AI-enhanced workflows while maintaining high performance and observability across enterprise-scale

Qualifications

  • 10+ years of professional software engineering/technical product experience.
  • Deep knowledge of automation technologies and workload orchestration.
  • Proven experience architecting scalable platforms for hybrid cloud and mainframe environments.
  • Strong programming skills in Java, Python, Go and API design.
  • Familiarity with observability platforms and security best practices.

Responsibilities

  • Create and maintain the automation solution architecture aligned with vision and product direction.
  • Direct requirements and backlog maintenance to support roadmap.
  • Lead technical debt assessment and resolution.
  • Explore automation integration opportunities across Rocket and Partner ecosystems.

Skills

Leadership
Technical vision
Cross-functional collaboration
Mentoring

Education

Bachelor’s degree in Computer Science or related field

Tools

Java
Python
Go
HLASM / zAssembler

Job description

MainframeMaster is seeking a Senior Principal Software Engineer to lead Workload Automation initiatives across mainframe and hybrid cloud environments. You will drive architecture, mentoring of global teams, and collaboration with product management, sales, and engineering to deliver secure, reliable automation platforms.

You will guide modernization, promote scalable automation, and implement AI-enhanced workflows while maintaining high performance and observability across enterprise-scale

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