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Azure System Engineer Jobs in Ontario (NOW HIRING)

Clio

Systems Engineer, Azure Infrastructure

Toronto, ON · Remote

CA$119K - CA$161K/yr

We are currently seeking a Systems Engineer, Azure Infrastructure to join our Systems Engineering teams. This role is available to candidates in EST/AST time zones, excluding Quebec. If you are local ...

NTT Ltd.

Senior Azure Architect

Toronto, ON · On-site

Bachelor's degree in computer science, Engineering, or a relevant field. * Azure certifications. * Experience with VoIP and telephony systems. With people at the heart of our success, NTT DATA is ...

Pathway Communications

Systems Engineer

Markham, ON · On-site

CA$45K - CA$55K/yr

... Azure, AWS). * Manage and administer hybrid Exchange server infrastructure. * Ensure system and ... Please send us your resume with subject: "System Engineer", including details of qualifications and ...

Jobtailor

Director of AI

Toronto, ON · On-site

Cloud Infrastructure Deployment (GCP, AWS, Azure) * System Design and Data Architecture * CI/CD and MLOps Practices ATS Optimization Keywords Hard Skills * Python * AI Engineering Frameworks

New

Aviso Wealth

Senior Systems Engineer

Toronto, ON · Hybrid

Azure Administrator Associate, Azure Network Engineer Associate, Azure Security Engineer Associate, or equivalent hands-on capability is preferred * VMware, Linux, Microsoft infrastructure, ITIL ...

Aviso Wealth

Senior Systems Engineer

Toronto, ON · On-site

Azure Administrator Associate, Azure Network Engineer Associate, Azure Security Engineer Associate, or equivalent hands-on capability is preferred * VMware, Linux, Microsoft infrastructure, ITIL ...

Nelnet, Inc.

IT System Reliability Engineer

Mississauga, ON · On-site

CA$79K - CA$127K/yr

The IT System Reliability Engineer is responsible for the administration, maintenance, security ... The Azure Platform Administrator works closely with infrastructure, security, networking ...

Posted today

CIBC

Senior Azure Data Engineer

Toronto, ON · Hybrid

As the Senior Azure Data Engineer, you are a key part of an innovative, Enterprise Technology ... Develop, review, analyze, and modify programming systems, including encoding, testing, debugging ...

CIBC US

Senior Azure Data Engineer

Toronto, ON · Hybrid

As the Senior Azure Data Engineer, you are a key part of an innovative, Enterprise Technology ... Develop, review, analyze, and modify programming systems, including encoding, testing, debugging ...

Moneris

Systems Engineer

Toronto, ON · Hybrid

CA$100K - CA$142K/yr

Systems Engineer Your Moneris Career - The Opportunity Join the Platform Services and Systems ... and Azure. Your first major initiative will include updating operating system build standards ...

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Azure System Engineer information

What does an Azure System Engineer do?

An Azure System Engineer is responsible for designing, implementing, managing, and supporting cloud infrastructure and services on Microsoft Azure. They set up virtual networks, manage storage, configure virtual machines, monitor system performance, and ensure security and compliance. Azure System Engineers work closely with development and IT teams to optimize cloud environments and enable smooth operations, scalability, and cost-effectiveness. Their role is critical for organizations leveraging Azure for their cloud computing needs.

What are the key skills and qualifications needed to thrive as an Azure System Engineer?

To thrive as an Azure System Engineer, you need a strong background in cloud computing, networking, and Windows/Linux server administration, ideally supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services, automation tools like PowerShell, and certifications such as Microsoft Certified: Azure Administrator Associate are typically required. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These skills and qualifications are essential to ensure reliable cloud infrastructure, efficient troubleshooting, and productive collaboration with technical and non-technical teams.

What are typical challenges Azure System Engineers face when migrating on-premises infrastructure to Azure cloud services?

Azure System Engineers often encounter challenges such as ensuring data integrity and security during migration, managing compatibility between legacy systems and cloud-native solutions, and minimizing downtime for end-users. Coordinating with cross-functional teams—including developers, network specialists, and security analysts—is crucial for a smooth transition. Additionally, adapting to rapidly evolving Azure features and best practices requires continuous learning and effective problem-solving skills.

What is the difference between Azure System Engineer vs Azure Cloud Administrator?

AspectAzure System EngineerAzure Cloud Administrator
CertificationsAzure Solutions Architect, Azure AdministratorAzure Administrator, Azure Fundamentals
Primary ResponsibilitiesDesigning, implementing, and managing Azure solutions; troubleshooting; automationManaging cloud resources; monitoring; user access; maintaining Azure environments
Work EnvironmentProject-based, involving architecture and deploymentOperational, focusing on daily management and support
Industry UsageIT consulting, cloud solution providers, enterprise ITOrganizations using Azure for cloud operations and support

The Azure System Engineer focuses on designing and deploying Azure solutions, while the Azure Cloud Administrator handles daily management and operational tasks. Both roles require similar certifications and work within cloud environments, but their core responsibilities differ in scope and focus.

What cities in Ontario are hiring for Azure System Engineer jobs?

Cities in Ontario with the most Azure System Engineer job openings:

(Canada) Principal ML System Engineer

Mississauga, ON • On-site

PointClickCare
IT Services • 1 - 5K employees
Learn more about PointClickCareexternal

CA$176K - CA$195K/yr

Other

Re-posted yesterday

Job description

Team Summary

This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.

Job Summary

The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.

Key Responsibilities
  • Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
  • Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
  • Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
  • Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
  • Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
  • Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
  • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
  • Expert level in Python and Java with strong software engineering fundamentals.
  • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
  • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
  • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
  • Bachelor’sdegree or higher in Computer Science, Machine Learning, or a related field.
  • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
  • Demonstrable history of leading and sustaining build out of critical cross-team systems
  • Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
  • Experience optimizing large model training and inference (including LLM serving) for performance and cost.

$176,000 - $195,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $176,000-$195 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

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