Workload Automation

Royal Cyber; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Royal Cyber is seeking an automation engineer to design and automate MFT workflows using Stonebranch Workload Automation, integrating with databases, Snowflake, and APIs.

The role emphasizes monitoring, error handling, AI-driven automation, and scripting in Python and PowerShell to improve operational efficiency and SLA compliance.

You will troubleshoot production issues, optimize job scheduling, and implement intelligent solutions across MFT environments.

Qualifications

• Design and automate MFT workflows using Stonebranch Workload Automation.
• Integrate Stonebranch with databases, Snowflake, Databricks, and APIs.
• Implement monitoring, alerting, error handling, and retry mechanisms for critical MFT workflows.
• Experience in Python and PowerShell scripting.
• Leverage AI-driven automation to improve MFT operations and incident analysis.

Responsibilities

• Design and automate MFT workflows using Stonebranch Workload Automation.
• Develop and manage Stonebranch tasks, workflows, schedules, dependencies, and event-driven automation.
• Integrate Stonebranch with databases, Snowflake, Databricks, and APIs.
• Implement monitoring, alerting, error handling, and retry mechanisms for critical MFT workflows.
• Troubleshoot production automation issues and optimize workflows.

Tools

Stonebranch Workload Automation

Python scripting

PowerShell scripting

AI-driven automation

Generative AI

Job description

Role & responsibilities

Stonebranch role:

• Design and automate MFT workflows using Stonebranch Workload Automation, integration with service now, MFT platforms.
• Develope and manage Stonebranch tasks, workflows, schedules, dependencies, and event-driven automation to streamline file transfer operations.
• Integrate Stonebranch with databases, Snowflake, Databricks, and APIs, including secure token/credential handling and automated job execution.
• Implemente monitoring, alerting, error handling, and retry mechanisms for critical MFT workflows, reducing manual intervention and improving SLA compliance.
• Troubleshot production automation issues and optimized workflows, including job failures, agent connectivity, file-transfer delays, scheduling dependencies, and end-to-end MFT processing.
• Experience in Python and powershell scripting.
• Implemente AI-driven automation solutions to improve MFT operations, including intelligent monitoring, incident analysis, and automated troubleshooting of file-transfer workflows.
• Leverage Generative AI and automation frameworks to reduce manual effort, accelerate root-cause analysis, and improve operational efficiency across MFT and workload automation environments.