Extend Information Systems Inc.

Title: Autosys SME
Location: Irvine, CA (Hybrid)
Job description:
We are seeking an experienced AutoSys SME to manage support and optimize enterprise job scheduling and workload automation environments The ideal candidate will possess strong expertise in CA AutoSys Workload Automation production support incident management job scheduling and automation best practices The role involves collaborating with application infrastructure and business teams to ensure reliable execution of critical business processes
Key Responsibilities
<ul>
<li>Administer and support AutoSys Workload Automation environments</li>
<li>Design creates modify and monitor AutoSys jobs calendars workflows and dependencies</li>
<li>Troubleshoot job failures performance issues and scheduling conflicts</li>
<li>Perform root cause analysis and implement preventive measures</li>
<li>Manage AutoSys upgrades patching migrations and environment maintenance</li>
<li>Monitor workload performance and optimize scheduling efficiency</li>
<li>Collaborate with application teams to onboard and automate batch processes</li>
<li>Develop and maintain operational documentation runbooks and SOPs</li>
<li>Support production releases and ensure scheduling compliance</li>
<li>Provide L2 L3 support and participate in on call rotation when required</li>
<li>Implement automation and scripting solutions to improve operational efficiency</li>
</ul>
Required Skills:
<ul>
<li>Strong hands-on experience with CA AutoSys Workload Automation</li>
<li>Expertise in JIL scripting job definitions calendars and event processors</li>
<li>Experience with Unix Linux and Windows operating systems</li>
<li>Knowledge of Shell Scripting Bash Korn PowerShell or Python</li>
<li>Experience in production support and incident management</li>
<li>Understanding of scheduling concepts batch processing and workload automation</li>
<li>Familiarity with monitoring and ticketing tools such as ServiceNow Splunk or Control M</li>
<li>Strong troubleshooting and problem-solving skills</li>
</ul>
Preferred Skills:
<ul>
<li>Experience with cloud platforms AWS Azure or GCP</li>
<li>Knowledge of Control Tidal or other enterprise schedulers</li>
<li>Experience with DevOps tools and CICD pipelines</li>
<li>Exposure to job automation using AI assisted operations and predictive monitoring</li>
<li>ITIL certification preferred</li>
</ul>
Qualifications:
<ul>
<li>Bachelor’s degree in computer science information technology or related field</li>
<li>7 years of experience in workload automation and scheduling support</li>
<li>Strong communication and stakeholder management skills</li>
</ul>
Nice to Have:
<ul>
<li>Experience in financial services banking or large enterprise environments</li>
<li>Knowledge of enterprise batch architecture and dependency management</li>
<li>Exposure to automation frameworks and operational analytics</li>
</ul>
Skills:
Mandatory Skills:
Mainframe Autosys, cloud migration AWS

AutoSys SME (CA Workload Automation)

AutoSys SME (CA Workload Automation)

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