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| Power Shell| APIs and scripting to reduce manual operational effort. Build and maintain engineering solutions using Git Hub| 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 Batch Ops| 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.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| Power Shell| APIs and scripting to reduce manual operational effort.Build and maintain engineering solutions using Git Hub| 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 Batch Ops| 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 Solid hands-on JAMS Scheduler / workload automation experience Python and Power Shell Git Hub / 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/Gen AI tooling and willingness to apply AI to operational engineering Success in the RoleMove JAMS from scheduler administration/operational role toward an engineered| observable and increasingly automated platformreducing manual intervention while improving resilience and recovery.#J-18808-Ljbffr

📌 Jams Platform Engineer (Toronto)
🏢 apptoza
📍 Toronto