Smart IT Frame LLC

Compensation

Full Description

Job Title: AutoSys Administrator - Strong security, RBAC, AutoSys Agents and production support Location: Remote (Irvine, CA) Employment Type: Contract and Fulltime About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Job Summary: This Technical Lead role is responsible for migrating Broadcom AutoSys Workload Automation from on-premises to AWS Cloud, ensuring minimal downtime and secure, scalable architecture. The lead will design the AWS AutoSys architecture, map job dependencies, automate, and migrate historical data, leveraging AWS services (EC2, S3, RDS) for a cloud-native, containerized environment. 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. 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 GCP. • Manage Autosys agents on cloud-based VMs and containers (where applicable). Experience Level: 12 to 18 years