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JAMS Platform Engineer

Apptoza Inc — Canada · Posted ~3 hours ago

Senior Hybrid

Skills

JAMS Scheduler Workload automation Python PowerShell APIs Scripting GitHub CI/CD Troubleshooting Performance analysis Monitoring Root-cause analysis JAMS

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Summary ✨ AI‑Generated

A large enterprise is seeking a hands-on platform engineer to modernize and operate its workload automation environment. Administer scheduling infrastructure, improve system reliability and performance, and develop proactive monitoring and automated recovery. Use Python, PowerShell, APIs, and modern source-control and delivery practices to streamline operations and support the transition toward event-driven automation.

Highlights

Take ownership of an enterprise automation platform and improve its reliability, performance, resilience, and observability. Combine platform engineering with software development, scripting, and AI capabilities while modernizing operational workflows and reducing manual effort. Work in a hybrid environment with opportunities to lead complex technical improvements.

Description

Role : JAMS Platform Engineer. Location: 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 ResponsibilitiesEngineer 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 Move JAMS from scheduler administration/operational role toward an engineered| observable and increasingly automated platformreducing manual intervention while improving resilience and recovery.