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Temporary Azure Infrastructure Engineer Jobs in Toronto, ON

Moneris

Systems Administrator III

Toronto, ON · Hybrid

CA$85K - CA$113K/yr

... Azure Infrastructure as a Service (IaaS). Working with Site Reliability Engineering (SRE), Information Security, Cloud Operations, Infrastructure Architecture, and Application teams, you will scale ...

Moneris

Systems Engineer

Toronto, ON · Hybrid

CA$100K - CA$142K/yr

Systems Engineer Your Moneris Career - The Opportunity Join the Platform Services and Systems ... Exposure toDevOps pipelines, container-based infrastructure, hybrid cloud operations, or Azure ...

Merative

Developer, Dev-Ops Engineering

Mississauga, ON · Remote

CA$109K - CA$164K/yr

... Engineer (Mid-Level) plays a hands-on role in building and operating SCIA's automation platform ... Primary Responsibilities - Design, enhance, and maintain Azure Infrastructure-as-Code using ...

Manulife

Platform Engineer

Toronto, ON · Hybrid

CA$167K/yr

... Engineer to join our team ... Within this role, you will build and deploy scalable, secure cloud infrastructure on Azure, AWS, or ...

rievax

Be Seen First

Network Analyst

Burlington, ON · On-site

CA$50K - CA$67K/yr

AWS Infrastructure Services * Azure SQL Database Migration * Amazon RDS (MySQL) * Amazon Route 53 * SSL/TLS Certificate Management * Load Balancing (ALB/NLB) * CI/CD Pipelines * DevOps Practices

New

rievax

Be Seen First

Network Analyst

Burlington, ON · On-site

CA$50K - CA$67K/yr

AWS Infrastructure Services * Azure SQL Database Migration * Amazon RDS (MySQL) * Amazon Route 53 * SSL/TLS Certificate Management * Load Balancing (ALB/NLB) * CI/CD Pipelines * DevOps Practices

New

Borrowell

Sr. DevOps Engineer

Toronto, ON · On-site

The ideal candidate is a proactive engineer with a strong foundation in cloud platforms, CI/CD ... Azure . * Infrastructure as Code (IaC): Proven expertise provisioning cloud resources using ...

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All JobsAzure Infrastructure Engineer JobsTemporary Azure Infrastructure Engineer JobsTemporary Azure Infrastructure Engineer Jobs in Toronto, ON

Temporary Azure Infrastructure Engineer information

What are the key skills and qualifications needed to thrive as a Temporary Azure Infrastructure Engineer?

To thrive as a Temporary Azure Infrastructure Engineer, you need expertise in cloud computing, infrastructure design, and network security, usually supported by a degree in IT or computer science and experience with Microsoft Azure. Familiarity with Azure Resource Manager, PowerShell scripting, and relevant certifications like Microsoft Certified: Azure Administrator Associate are typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this role. These skills and qualifications are crucial to efficiently deploy, manage, and troubleshoot cloud infrastructure to meet dynamic business demands.

What are some common challenges faced by Temporary Azure Infrastructure Engineers, and how can they be addressed?

Temporary Azure Infrastructure Engineers often face challenges such as quickly adapting to existing cloud environments and understanding project-specific requirements with limited onboarding time. To succeed, it's important to efficiently review documentation, ask clarifying questions, and leverage Azure's native tools for rapid environment assessment. Collaboration with full-time team members and effective communication are key to ensuring smooth integration and successful project delivery within the contract period.

What does a Temporary Azure Infrastructure Engineer do?

A Temporary Azure Infrastructure Engineer is responsible for designing, implementing, and maintaining cloud infrastructure using Microsoft Azure, typically on a short-term or contract basis. They help organizations migrate workloads to Azure, manage virtual networks, configure storage solutions, and ensure systems are secure and scalable. Their role often includes troubleshooting issues, optimizing cloud resources, and collaborating with other IT professionals to support business needs. They are expected to have a strong understanding of Azure services, automation tools, and cloud security best practices.

What is the difference between Temporary Azure Infrastructure Engineer vs Cloud Infrastructure Technician?

AspectTemporary Azure Infrastructure EngineerCloud Infrastructure Technician
CertificationsAzure certifications (e.g., AZ-104)General cloud certifications (e.g., CompTIA Cloud+)
Work EnvironmentAzure cloud platforms, project-based rolesVarious cloud environments, on-premises and cloud
Industry UsageIT, cloud service providers, enterprise ITIT support, network management, cloud services
Search IntentRoles focused on Azure infrastructure, temporary positionsGeneral cloud infrastructure roles, often permanent or contract

The Temporary Azure Infrastructure Engineer specializes in deploying and managing Azure cloud environments on a temporary basis, often requiring specific Azure certifications. In contrast, a Cloud Infrastructure Technician has a broader focus on various cloud platforms and may work in different environments. Both roles are essential in cloud management but differ in scope and certification requirements.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in Toronto, ON? The most popular types of Azure Infrastructure Engineer jobs in Toronto, ON are:
Temporary Azure Infrastructure Engineer jobs near you
Infographic showing various Temporary Azure Infrastructure Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Senior LLMOps Engineer -Cloud / AI Infrastructure

Talent To Hire Inc.

Toronto, ON • On-site

Full-time

Re-posted 28 days ago

Job description

🚀 Staff LLMOps Engineer (Cloud / AI Infrastructure)

Location: Downtown Toronto
Hybrid: 4 days in office

Ready to build what powers the next generation of AI?

We’re looking for a Staff LLMOps Engineer to lead the design, deployment, and optimization of large language model (LLM) infrastructure on the cloud.
You’ll be the driving force behind taking trained models from lab to production—scaling efficiently across multi-GPU clusters and pushing the boundaries of inference performance for enterprise-grade AI applications.

If you thrive at the intersection of AI, cloud engineering, and systems optimization, this is your chance to shape the future of large-scale model serving in a high-impact environment.

What You’ll Do

  • Architect and operationalize LLM deployment pipelines on AWS and Kubernetes/EKS.

  • Build and scale multi-GPU inference infrastructure for low latency, high availability, and cost efficiency.

  • Optimize inference using frameworks like vLLM, SGLang, and DeepSpeed-Inference.

  • Implement advanced serving techniques: continuous batching, speculative decoding, KV-cache management, and distributed scheduling.

  • Collaborate with AI researchers to convert model training outputs into production-grade APIs and services.

  • Establish observability and monitoring for latency, throughput, GPU utilization, and failure recovery.

  • Automate provisioning, scaling, and upgrades using Terraform and CI/CD pipelines.

  • Ensure compliance, security, and efficiency in multi-tenant LLM hosting for enterprise clients.

What We’re Looking For

  • 6+ years in DevOps, ML infrastructure, or cloud platform engineering.

  • 2+ years of direct experience deploying and optimizing LLMs or large-scale ML models.

  • Expertise with GPU-accelerated inference and distributed serving environments.

  • Deep familiarity with cloud-native architectures (AWS, GCP, Azure) and Kubernetes.

  • Strong foundation in Python, Bash, and IaC (Terraform).

  • Experience integrating monitoring tools (Prometheus, Grafana, Datadog) for performance visibility.

  • Passion for building robust, scalable, and secure AI systems.

Why Join

  • Lead and own mission-critical AI infrastructure at a fast-scaling startup.

  • Work alongside world-class engineers, data scientists, and innovators.

  • Competitive salary + meaningful equity in a company redefining applied AI.

  • A culture built on innovation, technical depth, and impact—your work truly matters.

Apply: sasha@talenttohire.com