Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your extensive AutoSys expertise in a dynamic environment, contributing to critical platform operations. You will thrive if you possess a deep understanding of AutoSys administration, Linux, and cloud technologies, eager to drive innovation and ensure robust scheduling solutions. Apply now to join a reputable company and advance your career in platform engineering.
Quick Overview
Job Description
Job Title: Senior AutoSys Platform Engineer / Administrator
Experience: 10+ Years
Location: Remote / Irvine, CA
Duration: Long-Term
Key Skills & Requirements
10+ years of overall IT experience with strong hands-on AutoSys Administration
AutoSys installation, configuration, upgrades, patching, and troubleshooting
AutoSys Application Server, Scheduler/Event Processor, Agents, Database & Client Utilities
Strong knowledge of JIL, Calendars, Global Variables, Job Dependencies, Conditions & Batch Cycles
Production job scheduling, monitoring, troubleshooting, and workflow automation
AutoSys agent installation, configuration, connectivity, and troubleshooting
AWS / EC2 experience
Kubernetes / EKS experience supporting AutoSys workloads
Strong Linux/Unix administration and troubleshooting
HA, failover, disaster recovery, and recovery procedures
Troubleshooting scheduler, database, network, authentication, and application issues
Security, access management, credentials, certificates, and service accounts
Monitoring, performance tuning, capacity planning, and platform health checks
Shell scripting; Python/PowerShell is a plus
CI/CD, DevOps/SRE exposure
Strong production support, incident management, RCA, and problem-solving skills
Qualifications
10+ years of enterprise IT experience
Proven hands-on AutoSys platform administration experience
Experience supporting production enterprise scheduling environments
Strong communication and collaboration skills
Ability to work with development, infrastructure, operations, and business teams
Experience in cloud and containerized production environments preferred
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