More jobs:
Autosys Lead
Job in
Irvine, Orange County, California, 92713, USA
Listed on 2026-10-10
Listing for:
ZENITH INFOTEK LLC
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Administrator, Unix/Linux
Job Description & How to Apply Below
- Competitive salary
- Flexible schedule
- Training & development
Autosys Lead
Location:
Irvine, CA (Onsite Day
1)
Job Type: Contract
Mandatory Skills :Mainframe Autosys
Job Description
We are seeking an experienced Auto Sys SME to manage support and optimize enterprise job scheduling and workload automation environments The ideal candidate will possess strong expertise in CA Auto Sys 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- Administer and support Auto Sys Workload Automation environments
- Design creates modify and monitor Auto Sys jobs calendars workflows and dependencies
- Troubleshoot job failures performance issues and scheduling conflicts
- Perform root cause analysis and implement preventive measures
- Manage Auto Sys 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 SOPs
- Support production releases and ensure scheduling compliance
- Provide L2L3 support and participate in on call rotation when required
- Implement automation and scripting solutions to improve operational efficiency
- Strong hands-on experience with CA Auto Sys Workload Automation
- Expertise in JIL scripting job definitions calendars and event processors
- Experience with UNIX Linux and Windows operating systems
- Knowledge of Shell Scripting Bash Korn Power Shell or Python
- Experience in production support and incident management
- Understanding of scheduling concepts batch processing and workload automation
- Familiarity with monitoring and ticketing tools such as Service Now Splunk or ControlM
- Strong troubleshooting and problem-solving skills.
- Experience with cloud platforms AWS Azure or GCP
- Knowledge of ControlM Tidal or other enterprise schedulers
- Experience with Dev Ops tools and CICD pipelines
- Exposure to job automation using AI assisted operations and predictive monitoring
- ITIL certification preferred
- Bachelor’s degree in computer science information technology or related field
- 7 years of experience in workload automation and scheduling support
- Strong communication and stakeholder management skills
- Experience in financial services banking or large enterprise environments
- Knowledge of enterprise batch architecture and dependency management
- Exposure to automation frameworks and operational analytics
- Keywords Auto Sys CA Workload Automation JIL Batch Scheduling Unix Linux Shell Scripting Production Support Workload Automation Incident Management Service Now Splunk AWS Azure Dev Ops
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