AutoSys SME

Smart IT Frame LLC; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Smart IT Frame LLC in New York is seeking an experienced AutoSys SME to support and optimize enterprise job scheduling and workload automation environments. The role emphasizes CA AutoSys, production support, incident management, and automation.

You will design and monitor AutoSys jobs, calendars, workflows, and dependencies; troubleshoot failures; implement preventive measures; and collaborate with DevOps and infrastructure teams to improve batch processing.

Qualifications

• 8+ years of workload automation and scheduling support.
• Bachelor's degree in CS/IT or related field.
• Experience with Mainframe AutoSys mandatory.
• Strong communication and stakeholder management.

Responsibilities

• Administer and support AutoSys Workload Automation environments
• Design, create, modify, and monitor AutoSys jobs, calendars, workflows, and dependencies
• Troubleshoot job failures, performance issues, and scheduling conflicts
• Perform root cause analysis and implement preventive measures
• Manage AutoSys upgrades, patching, migrations, and environment maintenance
• Monitor workload performance and optimize scheduling efficiency
• Collaborate with application and infrastructure teams to automate batch processes
• Maintain operational documentation, runbooks, and SOPs
• Support production releases and scheduling compliance
• Provide L2/L3 production support and participate in on-call rotation when required
• Develop scripting and automation solutions to improve operational efficiency
• Strong hands-on experience with CA AutoSys Workload Automation
• Expertise in JIL scripting, job definitions, calendars, and event processors
• Experience with Unix/Linux and Windows environments
• Strong knowledge of Shell Scripting, Bash, Korn, PowerShell, or Python
• Production support and incident management experience
• Understanding of batch processing, scheduling concepts, and workload automation
• Experience with tools such as ServiceNow, Splunk, or Control-M
• Strong troubleshooting and problem-solving skills
• Control-M, Tidal, or other enterprise schedulers
• DevOps tools and CI/CD pipelines
• AI-assisted operations and predictive monitoring

Skills

AutoSys

Workload Automation

JIL scripting

Unix/Linux

Windows

Shell scripting

Python

DevOps

CI/CD

On-call support

Incident management

Stakeholder management

Mainframe AutoSys

Education

Bachelor's degree in Computer Science / Information Technology / related field

Tools

ServiceNow

Splunk

Control-M

Tidal

Job description

We are looking for an experienced AutoSys SME to support and optimize enterprise job scheduling and workload automation environments. The ideal candidate will have strong hands‑on experience with CA AutoSys, production support, incident management, job scheduling, and automation.

• Administer and support AutoSys Workload Automation environments
• Design, create, modify, and monitor AutoSys jobs, calendars, workflows, and dependencies
• Troubleshoot job failures, performance issues, and scheduling conflicts
• Perform root cause analysis and implement preventive measures
• Manage AutoSys upgrades, patching, migrations, and environment maintenance
• Monitor workload performance and optimize scheduling efficiency
• Collaborate with application and infrastructure teams to automate batch processes
• Maintain operational documentation, runbooks, and SOPs
• Support production releases and scheduling compliance
• Provide L2/L3 production support and participate in on‑call rotation when required
• Develop scripting and automation solutions to improve operational efficiency
• Strong hands‑on experience with CA AutoSys Workload Automation
• Expertise in JIL scripting, job definitions, calendars, and event processors
• Experience with Unix/Linux and Windows environments
• Strong knowledge of Shell Scripting, Bash, Korn, PowerShell, or Python
• Production support and incident management experience
• Understanding of batch processing, scheduling concepts, and workload automation
• Experience with tools such as ServiceNow, Splunk, or Control‑M
• Strong troubleshooting and problem‑solving skills
• Control‑M, Tidal, or other enterprise schedulers
• DevOps tools and CI/CD pipelines
• AI‑assisted operations and predictive monitoring
• Bachelor's degree in Computer Science, Information Technology, or a related field
• 8+ years of experience in workload automation and scheduling support
• Strong communication and stakeholder management skills
• Experience in Mainframe AutoSys is mandatory