JAMS Platform Engineer

JAMS Platform Engineer

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

6-12 months

Minimum 10 years experience required

Note- Move JAMS from scheduler administration/operational role toward an engineered| observable and increasingly automated platform reducing manual intervention while improving resilience and recovery.

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 to AWS/cloud technologies preferred Practical understanding of AI/GenAI tooling and willingness to apply AI to operational engineering Success in the Role