Job Summary
We are seeking an experienced AutoSys SME to manage, support, and optimize enterprise job scheduling and workload automation environments. The role requires strong expertise in CA AutoSys Workload Automation, production support, incident management, job scheduling, and automation best practices. The SME will collaborate with application, infrastructure, and business teams to ensure reliable execution of critical business processes.
Key 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 teams to onboard and automate batch processes.
• Develop and maintain operational documentation, runbooks, and standard operating procedures.
• Support production releases and ensure scheduling compliance.
• Provide L2/L3 support and participate in on-call rotation when required.
• Implement automation and scripting solutions to improve operational efficiency.
Required Qualifications
• 7+ years of experience in workload automation and scheduling support.
• Mandatory hands-on experience with Mainframe AutoSys.
• 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 operating systems.
• Knowledge of Shell Scripting, including Bash and Korn, as well as PowerShell or Python.
• Experience in production support and incident management.
• Strong understanding of scheduling concepts, batch processing, and workload automation.
• Familiarity with monitoring and ticketing tools such as ServiceNow, Splunk, or Control-M.
• Strong troubleshooting and problem-solving skills.
• Strong communication and stakeholder management skills.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
Preferred Qualifications
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Control-M, Tidal, or other enterprise schedulers.
• Experience with DevOps tools and CI/CD pipelines.
• Exposure to job automation using AI-assisted operations and predictive monitoring.
• Experience in financial services, banking, or large enterprise environments.
• Knowledge of enterprise batch architecture and dependency management.
• Exposure to automation frameworks and operational analytics.
• ITIL certification.
