Systems Engineer

Compunnel Inc.; Toronto; Vor Ort; CAD 80.000 - 110.000; Vollzeit

Zusammenfassung

A technology company is seeking a Systems Engineer to support operational reliability for a global AI platform. This role will involve managing cloud infrastructure, building CI/CD pipelines, and developing automation scripts. Ideal candidates will have 5-7 years of experience in platform engineering or DevOps, as well as proficiency in Microsoft Azure and Python. The position offers an opportunity to work in a greenfield environment, contributing to foundational operations and automation processes.

Qualifikationen

• 5-7 years of experience in platform engineering, DevOps, or infrastructure roles.
• 1-4 years of experience working with AI integrations or AI platforms.

Aufgaben

• Support platform operations and infrastructure for a global AI platform.
• Manage and maintain cloud infrastructure within the Microsoft Azure ecosystem.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Develop automation scripts using Python for infrastructure management.
• Monitor platform performance and help establish operational KPIs.
• Collaborate with engineering teams to support multi-agent orchestration systems.

Kenntnisse

DevOps expertise

Platform engineering

Infrastructure operations

AI integrations

Cloud infrastructure (Microsoft Azure)

CI/CD pipelines

Python scripting

Analytical skills

Problem-solving skills

Familiarity with AI developer tools

Ausbildung

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Microsoft Azure

GitHub Actions

Terraform

Jobbeschreibung

The Systems Engineer supports the infrastructure and operational reliability of a global AI platform. This role focuses on platform operations, automation, and DevOps practices for complex cloud-based AI systems, including multi-agent orchestration environments. The position will help establish operational foundations, platform reliability practices, and infrastructure automation within a greenfield environment.

Key Responsibilities

• Support platform operations and infrastructure for a global AI platform
• Manage and maintain cloud infrastructure within the Microsoft Azure ecosystem
• Build and maintain CI/CD pipelines using GitHub Actions
• Develop automation scripts using Python for infrastructure management and operational tasks
• Monitor platform performance and help establish operational KPIs and reliability standards
• Support AI system integrations within cloud environments
• Collaborate with engineering teams to support multi-agent orchestration systems and platform workflows
• Assist in designing and implementing operational processes for new platform infrastructure
• Maintain and improve platform reliability, scalability, and performance
• Work in a greenfield environment to help establish the operational framework for the platform

Qualifications

• Strong experience in DevOps, platform engineering, or infrastructure operations
• Experience working with AI integrations or AI-enabled platforms
• Proficiency in cloud infrastructure, particularly Microsoft Azure
• Experience building and maintaining CI/CD pipelines
• Strong scripting and automation skills using Python
• Familiarity with AI-powered developer tools such as GitHub Copilot
• Strong problem-solving and analytical skills
• Ability to work in fast-paced, early-stage technology environments

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Years of Experience

• 5–7 years of experience in platform engineering, DevOps, or infrastructure roles
• 1–4 years of experience working with AI integrations or AI platforms

Preferred Qualifications

• Hands-on experience with Terraform
• Experience with Java development
• Knowledge of AIOps or MLOps practices
• Experience supporting AI platform infrastructure or orchestration frameworks