Autosys Lead

ZENITH INFOTEK LLC; Irvine (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Training & development

Job summary

Zenith Infotek LLC in Irvine, CA seeks an experienced AutoSys SME to lead workload automation operations on a contract basis. You will manage AutoSys environments, design and monitor jobs, troubleshoot issues, and collaborate with cross-functional teams to ensure reliable batch processing.

The ideal candidate has deep AutoSys expertise, strong scripting skills, production support background, and experience with monitoring tools. On-site day one with on-call rotation involvement.

Qualifications

• 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.

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 SOPs.
• 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.

Skills

AutoSys expertise

JIL scripting

Unix/Linux/Windows

Shell scripting

Production support

Incident management

Scheduling concepts

Troubleshooting

On-call rotation

Stakeholder management

Education

Bachelor’s degree in computer science / IT

Tools

CA AutoSys Workload Automation

ServiceNow

Splunk

ControlM

AWS

Azure

GCP

Job description

Benefits

• Competitive salary
• Flexible schedule
• Training & development

Title: Autosys Lead

Location: Irvine, CA (Onsite Day 1)

Job Type: Contract

Mandatory Skills : Mainframe Autosys

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

• Administer and support AutoSys Workload Automation environments
• Design creates 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 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

Required Skills

• 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 BashKorn PowerShell 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 ServiceNow Splunk or ControlM
• Strong troubleshooting and problem-solving skills.

Preferred Skills

• Experience with cloud platforms AWS Azure or GCP
• Knowledge of ControlM Tidal or other enterprise schedulers
• Experience with DevOps tools and CICD pipelines
• Exposure to job automation using AI assisted operations and predictive monitoring
• ITIL certification preferred

Qualifications

• 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

Nice to Have

• 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 AutoSys CA Workload Automation JIL Batch Scheduling Unix Linux Shell Scripting Production Support Workload Automation Incident Management ServiceNow Splunk AWS Azure DevOps