AutoSys Migration Tech Lead

Job Title: Technical Lead – AutoSys Migration (On-Premises to AWS) 

Location: Irvine, CA (4 days onsite/week)

Description:

Autosys Administrator / Workload Automation Engineer JD

Key Responsibilities

Autosys Administration

      • Administer and maintain Autosys Workload Automation environments (Production, DR, Non-Prod).

      • Install, configure, upgrade, and patch Autosys components (Scheduler, Agents, WCC, EEM).

      • Administer and support Autosys WCC for monitoring and visualization.

      • Configure dashboards, job views, alerts, and notifications.

      • Perform WCC upgrades and troubleshooting.

      • Provide operational support using WCC for batch monitoring and incident resolution.

      • Integrate WCC with Autosys schedulers and validate data consistency.

      • Manage EEM security, user access, and role-based permissions.

      • Create and maintain Autosys roles, privileges, and LDAP/AD integrations.

      • Perform access audits and compliance checks.

      • Troubleshoot authentication and authorization issues related to Autosys and WCC

      • Perform job creation, modification, and optimization using JIL.

      • Manage calendars, resources, boxes, alarms, job dependencies, and conditions.

      • Monitor daily batch operations and ensure SLA adherence.

      • Troubleshoot Autosys job failures, agent issues, and scheduler performance problems.

      • Perform Autosys housekeeping, log maintenance, and database cleanup activities.

      • Support DR drills and implement HA/Failover strategies for Autosys.

Automic AAI (Application Analytics & Intelligence)

      • Integrate Autosys with Automic AAI for workload analytics.

      • Configure AAI data feeds, jobs, and forecasting models.

      • Analyze critical paths, SLA risks, and job dependencies using AAI.

      • Use AAI insights for proactive issue prevention and workload optimization.

      • Support business and application teams with AAI reporting and dashboards.

Cloud & Infrastructure Knowledge

      • Support Autosys workloads running on AWS, Azure, or Google Cloud Platform.

      • Manage Autosys agents on cloud-based VMs and containers (where applicable).

      • Understand cloud-native services impacting scheduling (EC2/VMs, storage, networking).

      • Coordinate with cloud and infrastructure teams for capacity planning and scaling.

      • Understanding of security best practices in cloud environments (IAM, NSGs, security groups).