AutoSys Platform Migration Technical Lead

Remote • Posted 17 hours ago • Updated 17 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
No Travel Required
Able to Sponsor
Remote
80+
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon RDS
  • Amazon S3
  • Amazon Web Services
  • CA Workload Automation AE
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • Development Testing
  • Documentation
  • Enterprise Integration
  • High Availability
  • IT Management
  • Incident Management
  • Management
  • Knowledge Transfer
  • Kubernetes
  • Linux
  • Mapping
  • Migration
  • Operational Risk
  • Provisioning
  • Python
  • SLA
  • Scheduling
  • Scripting
  • Regulatory Compliance
  • Remote Desktop Services
  • Terraform
  • Shell
  • Testing
  • Virtual Private Cloud
  • Workflow Analysis
  • WCC

Summary

Role Description:

We are looking for a Technical Lead to oversee and implement the complete migration of the AutoSys Workload Automation platform from on-premises infrastructure to a AWS cloud environment. This role is responsible for developing the migration strategy, designing, and implementing the target architecture, planning and executing the technical migration, and ensuring a seamless production cutover and post-migration stabilization with minimal downtime and controlled operational risk. The Technical Lead will partner closely with application teams, infrastructure and cloud engineering, and security to deliver a reliable, production-ready scheduling platform in AWS. Key responsibilities include configuring AutoSys on AWS, migrating and reconfiguring job inventories, validating dependencies, and managing cutover with rollback capabilities.

Key Responsibilities

•  Lead AutoSys migration from on-prem to AWS, ensuring minimal disruption and operational continuity.

•  Develop and execute a phased migration strategy with thorough dependency mapping and workflow analysis.

•  Design and build a scalable, high-availability AutoSys platform on AWS using best practices.

•  Migrate and validate job schedules, inventories, variables, and calendars to ensure schedule integrity.

•  Automate environment provisioning with IaC tools and integrate CI/CD pipelines.

•  Define and manage cloud agent strategy, using containers and Kubernetes/EKS as needed.

•  Develop and execute cutover and rollback plans, including runbooks and validation for SLA compliance.

•  Lead end-to-end functional, performance, resilience, and DR testing, supporting post-migration stabilization.

•  Create runbooks and documentation for smooth operations and effective knowledge transfer.

•  Implement monitoring, alerting, and incident response for operational readiness aligned with AWS standards.

•  Provide regular stakeholder updates, manage risks, and drive ongoing documentation and team enablement.

 

Qualifications & Skills

•  5+ years of hands-on workload automation and batch scheduling experience, ideally with AutoSys platform administration, troubleshooting, and job migration expertise.

•  Strong proficiency in Linux (on-premises), including advanced scripting skills (Shell/Python) for automation, operational tooling, and migration support.

•  At least 3 years of practical AWS experience, covering VPC, IAM, EC2, S3, and optionally RDS/Aurora, with the ability to operate enterprise workloads in cloud environments.

•  Proven track record running migration programs, including planning, phased execution, validation, rollback strategies, and post-migration stabilization.

•  Demonstrated expertise in AutoSys Workload Automation, covering platform administration, job definition, migration, and troubleshooting.

•  Experience with Infrastructure as Code (Terraform) for consistent environment builds across development, test, and production.

•  Familiarity with enterprise platform patterns, including containerization and Kubernetes/EKS for AutoSys components and workload execution.

•  Exposure to enterprise integration patterns connecting workload automation platforms and AWS services.

•  Knowledge of AutoSys enterprise ecosystem components (such as WCC/EEM) and associated governance models.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90979229
  • Position Id: 8919259
  • Posted 17 hours ago
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