JAMS Platform Engineer
- Toronto, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Role: JAMS Platform Engineer
Location: Toronto, ON - Hybrid (2-3 Days WFO)
Duration: 6-12 months
Note: Do not submit candidates w less than 10 yrs of total exp.
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
Move JAMS from scheduler administration/operational role toward an engineered| observable and increasingly automated platform reducing manual intervention while improving resilience and recovery.
More about this job
Responsibilities
Engineer and administer the JAMS workload automation platform, improving its reliability, performance, resilience, monitoring, and recovery. Develop automation and engineering practices, modernize batch scheduling, support production readiness, and collaborate with application, infrastructure, and vendor teams.
Requirements
At least 10 years of total experience is required, along with strong hands-on JAMS Scheduler and workload automation experience. The role also calls for Python and PowerShell scripting, GitHub and CI/CD practices, REST APIs, SQL Server and Windows troubleshooting, monitoring expertise, and practical interest in applying AI to operational engineering.
Skills
- JAMS Scheduler
- Workload Automation
- Python
- PowerShell
- GitHub
- Git
- CI/CD
- REST APIs
- SQL Server
- Windows Server
- Monitoring and Observability
- Performance Engineering
- Distributed Applications
- AWS and Cloud Technologies
- AI and Generative AI
- Batch Orchestration
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- JAMS Scheduler
- Workload Automation
- Scheduler Administration
- Agents
- Executors
- Queues
- Resources
- Job Configuration
- Python
- PowerShell
- REST APIs
- GitHub
- Git
- CI/CD
- SQL Server
- Windows Server
- Distributed Applications
- Monitoring
- Telemetry
- Performance Engineering
- Event-Driven Scheduling
- Batch Orchestration
- Disaster Recovery
- Regression Testing
- AWS
- Cloud Technologies
- Artificial Intelligence
- Generative AI
- Anomaly Detection
- Root-Cause Analysis