AutoSys Platform Engineer

Position: AutoSys Platform Engineer
Location: Irvine, California (Onsite)/ Remote can be considered for a strong candidate. 
Duration: Contract
Job ID: 179660

Job Overview:

We are seeking an experienced AutoSys Platform Engineer to support and maintain a large-scale enterprise AutoSys Workload Automation platform. This role is responsible for ensuring the stability, availability, performance, and operational health of the AutoSys environment across on-premises and cloud-hosted deployments. The ideal candidate should have strong hands-on experience with AutoSys platform components, Linux administration, platform troubleshooting, and production support.

Responsibilities:

• Provide L3 support for enterprise AutoSys environments and serve as a technical resource for platform-related issues.
• Administer and support AutoSys Scheduler, Event Processor, WCC, AutoSys Agents, and related platform components.
• Manage platform configuration, agent onboarding, environment setup, and operational readiness activities.
• Support day-to-day platform operations, maintenance, and health monitoring.
• Diagnose and resolve scheduler, agent, job execution, dependency, event processing, and communication issues.
• Analyze AutoSys logs, agent logs, system logs, and platform diagnostics to identify root causes and restore service.
• Support production incidents, problem management, and recurring issue remediation.
• Work with infrastructure, database, network, and application teams to troubleshoot platform-related issues.
• Perform platform upgrades, patches, fixes, and routine maintenance activities.
• Support implementation and validation of new AutoSys releases and platform enhancements.
• Assist with platform performance tuning, capacity planning, and availability improvements.
• Ensure operational procedures, runbooks, and support documentation remain current.
• Support AutoSys deployments hosted in AWS and other cloud environments.
• Administer and troubleshoot AutoSys agents deployed on cloud infrastructure and container platforms.
• Assist with migration, deployment, and operational support of cloud-based AutoSys services.
  

• 4 years of hands-on AutoSys administration and support experience.
• Strong knowledge of AutoSys Scheduler, Event Processor, WCC (Web Client), AutoSys Agents, job definitions, calendars, variables, and dependencies.
• Experience supporting AutoSys in Linux environments.
• Strong troubleshooting and root cause analysis skills.
• Experience with AutoSys upgrades, patching, and platform maintenance.
• Knowledge of AWS-hosted AutoSys environments and cloud-based agent deployments.
• Experience with Shell scripting and automation.
• Preferred experience supporting containerized AutoSys agents and exposure to Kubernetes/EKS environments.
• Experience supporting large-scale enterprise scheduling platforms.
• Familiarity with AutoSys cloud migration initiatives.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

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Pay Range: $65 - $70


The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.