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SRE/ Platform Engineer

  • Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Job Title: SRE/ Platform Engineer

Job Location: Toronto, ON - Hybrid (2-3 Days WFO)

Long Term Contract

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 platformreducing manual intervention while improving resilience and recovery.

More about this job

Responsibilities

Engineer and administer the JAMS workload automation platform, improving its reliability, performance, observability, and resilience through monitoring, troubleshooting, and automated recovery. Develop automation and CI/CD solutions, modernize batch scheduling, support platform upgrades and disaster recovery, and collaborate with application, infrastructure, and vendor teams.

Requirements

The role calls for hands-on JAMS Scheduler experience, along with Python, PowerShell, Git/GitHub, CI/CD, REST APIs, SQL Server, and Windows and distributed-systems troubleshooting. Monitoring and performance engineering experience is important; cloud and practical AI/GenAI experience are preferred.

Skills

  • JAMS Scheduler
  • Python
  • PowerShell
  • GitHub
  • Git
  • CI/CD
  • REST APIs
  • SQL Server
  • Windows Server Troubleshooting
  • Distributed Application Troubleshooting
  • Monitoring and Observability
  • Performance Engineering
  • Workload Automation
  • Cloud Technologies
  • AI and Generative AI

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • JAMS Scheduler
  • Workload Automation
  • Scheduler Agents
  • Executors
  • Queues
  • Resources
  • Batch Workflows
  • Python
  • PowerShell
  • REST APIs
  • GitHub
  • Git
  • CI/CD
  • SQL Server
  • Windows Server
  • Distributed Applications
  • Monitoring
  • Telemetry
  • Observability
  • Performance Engineering
  • Event-Driven Scheduling
  • Batch Orchestration
  • Automated Recovery
  • Regression Testing
  • Disaster Recovery
  • AWS
  • Cloud Technologies
  • AI
  • Generative AI
  • Anomaly Detection

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