Tivoli Workload Scheduler/AWS Administrator

Leidos

3d•Onsite

About The Position

The Digital Modernization Sector has an opening for a AWS Administrator/Tivoli Workload Scheduler to support a large healthcare contract. We are seeking an AWS Administrator/ Tivoli Workload Scheduler engineer to support the day-to-day operations, security, and performance of our AWS cloud infrastructure while managing enterprise-level workload scheduling and automation through Tivoli/IBM Workload Scheduler (TWS/IWS). This role is hands-on and operationally focused, requiring strong troubleshooting skills, disciplined execution, and the ability to support business-critical batch and cloud-native workflows. This role also focuses on The ideal candidate has strong AWS administration experience, a clear grasp of workload automation platforms, and the ability to operate effectively in a production enterprise environment with minimal supervision.

Requirements

Bachelor’s degree in computer science, Information Technology, or a related field, or additional years of experience may be substituted in lieu of degree.
4–6 years of experience in IT operations or infrastructure support roles.
At least 1 year of hands-on AWS administration experience with limited supervision.
An understanding of workload automation concepts including: Job dependencies, workstations, and job streams
Ability to analyze logs and diagnose issues
Must be able to obtain and maintain a public trust clearance.
All candidates supporting the CMS programs must have lived in the United States at least three (3) out of the last five (5) years prior in order to be considered.
AWS Certified SysOps Administrator – Associate
Tivoli / IBM Workload Scheduler (TWS) Knowledge
Core Architecture Understanding of TWS distributed architecture, including: Master Domain Manager (MDM): Central scheduling authority and database. Dynamic Workload Console (DWC): Web-based interface for job design and monitoring. Agents: Including Fault-Tolerant Agents (FTA) capable of running jobs during temporary MDM communication outages.
AWS Integration Deploy and manage TWS agents on EC2 instances to execute scripts and applications.
Support cloud-native workflow triggers using AWS Lambda or Step Functions integrated with TWS.
Manage file-based dependencies leveraging Amazon S3.
Proficiency in Linux/Unix environments.
Strong scripting skills using Python and/or Bash.
Experience with automation and configuration tools such as Ansible or AWS CloudFormation.
Experience with event driven scheduling
Experience with file transfer automation (SFTP/FTP)
Supporting 24/7 enterprise environments

Nice To Haves

Clear operational discipline with attention to detail.
Ability to work effectively in a production support environment with on-call or after-hours responsibilities.
Clear communication skills and the ability to collaborate with infrastructure, application, and automation teams.

Responsibilities

Maintain the health, security, and performance of AWS environments while ensuring reliable execution of automated job scheduling workflows using TWS.
Provision, configure, and maintain AWS resources including EC2, S3, IAM, and VPCs in alignment with the AWS Well-Architected Framework.
Perform routine system maintenance, patching, and configuration updates across cloud environments.
Operate and support the TWS/IWS platform, including job stream monitoring, dependency management, and agent health checks.
Ensure reliable execution of daily and intraday production workloads.
Monitor batch workloads and ensure successful completion of processes.
Implement scheduling solutions for application teams
Follow enterprise change management processes and procedures
Troubleshoot and resolve job failures, scheduling conflicts, and dependency issues
Assist with workload automation platform maintenance activities
Enforce least-privilege access controls using AWS IAM.
Monitor and remediate security findings using tools such as AWS Security Hub.
Support audit and compliance requirements related to cloud infrastructure and automation platforms.
Triage, diagnose, and resolve incidents involving AWS infrastructure and failed or delayed scheduling batches.
Escalate complex issues appropriately and participate in root-cause analysis efforts.
Identify performance bottlenecks and inefficiencies related to cloud resource usage and job throughput.
Implement auto-scaling, scheduling adjustments, or script improvements to improve performance and control costs.
Maintain, test, and document backup and disaster recovery strategies for AWS resources and TWS databases.
Participate in disaster recovery exercises and validate recovery procedures.
Create, modify, and maintain job definitions, calendars, and scheduling resources.
Troubleshoot job failures and delays by analyzing logs and predecessor/successor relationships.
Perform TWS patch upgrades and maintain integrations with enterprise monitoring tools such as IBM Tivoli Monitoring.