AI Systems Reliability Engineer Position

toronto, on, Canada • Posted May 30, 2026

Job Type: Full-time
Location: toronto, on
Posted: May 30, 2026
Category: Other-General
Application Deadline: July 09, 2026

Role Description

Become a Site Reliability Engineer to support cutting-edge AI technologies. Ensure system reliability and operational effectiveness utilizing your Linux and automation skills in a hybrid setup.
In this role, you will focus on the intersection of reliability and customer engineering, validating that our AI systems are production-ready. Engaging with internal teams, you will tackle complex issues and enhance monitoring and automation processes, contributing significantly to system performance and reliability.
Key Responsibilities:
• Maintain operational integrity of AI infrastructures
• Troubleshoot issues spanning compute, network, and software
• Collaborate with teams for incident response
• Enhance monitoring and observability frameworks
• Create automation solutions to boost reliability
Requirements:
• Expertise in site reliability or systems engineering
• Advanced Linux troubleshooting capabilities
• Knowledge of observability tools like Prometheus

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