JAMS Platform Engineer
- Location
- Toronto, Ontario, Canada
- Salary
- Not specified
- Company
- Akash pawar
Job description
Role & Company / Project Overview: Business Intelli Solutions Inc. is seeking a hands-on JAMS Platform Engineer for an enterprise client to drive the reliability, automation, modernization, and engineering of an enterprise JAMS workload automation platform. The ideal candidate will move the platform beyond traditional scheduler administration toward an engineered, observable, and increasingly automated workload platform. Key Responsibilities & Daily Duties: • Engineer and administer the JAMS Scheduler platform • Improve platform reliability, performance, capacity, resilience, and observability • Troubleshoot complex platform and production issues • Build proactive monitoring and automated recovery solutions • Develop automation using Python, PowerShell, APIs, and scripting • Implement GitHub-based source control, code reviews, and CI/CD practices • Modernize time-based scheduling toward event-driven scheduling • Establish standards for retries, alerts, resources, agents, and job design • Support upgrades, patching, regression testing, DR, and production readiness • Partner with BatchOps, application, and infrastructure teams • Work with the JAMS vendor on product defects, performance, and roadmap capabilities • Explore practical AI/GenAI use cases for operational analytics, troubleshooting, and automation Required Qualifications, Skills & Experience: • Minimum 10+ years of total experience required (candidates with less than 10 years will not be considered) • Strong hands-on JAMS Scheduler / Workload Automation experience • Proficiency with JAMS Scheduler, Agents, Executors, Queues, Resources & Job Configuration • Hands-on expertise in Python & PowerShell • Experience with GitHub / Git / CI/CD pipelines • Strong knowledge of REST APIs & Systems Integration • Experience with SQL Server & Database Troubleshooting • Windows Server & Distributed Application Troubleshooting • Expertise in Monitoring, Telemetry & Performance Engineering • Proven track record in Production Troubleshooting & Root Cause Analysis • Automation & Scripting capabilities Preferred Skills: • AWS / Cloud Technologies • AI / GenAI tooling and AI-assisted operational analytics • Anomaly Detection & Intelligent Automation • Event-driven scheduling • BatchOps / Batch Orchestration Working Hours, Shifts & Location Details: • Location: Toronto, Ontario, Canada • Work Model: Hybrid (2–3 Days Work From Office) • Engagement Type: Contract (6–12 Months) Application Instructions: Candidates currently located in Canada are requested to apply by submitting an updated resume to the recruiter.