JAMS Platform Engineer | Automation, Python, PowerShell, CI/CD

Toronto, ON - Hybrid (2-3 Days WFO)

Role Summary

Seeking a hands-on engineer to drive the reliability, automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with software engineering, automation and AI capabilities.

Key Responsibilities

Engineer and administer JAMS Scheduler, including Scheduler, Agents, Executors, queues, resources and job configuration.
Improve platform reliability, performance, capacity, resilience and observability.
Lead complex troubleshooting, performance analysis and root-cause investigations.
Build proactive monitoring and automated recovery for Scheduler, agents, queues and batch workflows.
Develop automation using Python, PowerShell, APIs and scripting to reduce manual operational effort.
Build and maintain engineering solutions using GitHub, including source control, code review and CI/CD practices.
Drive migration from time-based to event-driven scheduling and simplify batch orchestration.
Establish engineering standards for retries, long-running jobs, alerts, resources, agents and job design.
Support upgrades, patching, regression testing, DR and production readiness.
Partner with BatchOps, application and infrastructure teams to onboard and optimize workloads.
Work with the JAMS vendor on product defects, performance and roadmap capabilities.
Explore and implement practical AI use cases for operational analytics, anomaly detection, troubleshooting and automation.

Technical Skills

Strong hands-on JAMS Scheduler / workload automation experience
Python and PowerShell
GitHub / Git, CI/CD and software engineering practices
REST APIs and systems integration
SQL Server and database troubleshooting
Windows Server and distributed application troubleshooting
Monitoring, telemetry and performance engineering
Exposure

Wymagane umiejętności

JAMS Scheduler / workload automationPython scripting and automationPowerShell scriptingGitHub / Git and CI/CD practicesREST APIs and systems integrationSQL Server and database troubleshootingWindows Server and distributed application troubleshootingMonitoring, telemetry and observability engineeringRoot-cause analysis and performance troubleshootingEvent-driven scheduling and batch orchestrationAutomated recovery and proactive monitoring (runbook/SRE automation)Upgrades, patching, regression testing and disaster recovery readinessCross-functional collaboration and stakeholder managementApplying AI/ML for operational analytics and anomaly detection

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