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Closed listing

Senior AI Infrastructure & Platform Engineer

  • Toronto, ON, Canada

$90 to $120 CAD / hour · Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$90 to $120 CAD / hour
Job type
Contract
Closing date
Experience
5+ years of Infrastructure Engineering experience with Azure, Terraform, and Cloud Security.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Our client, a leading organization in the technology and enterprise solutions sector, is seeking a Senior AI Infrastructure & Platform Engineer to join their innovative team. As a Senior AI Infrastructure & Platform Engineer, you will be part of the Infrastructure and Cloud Engineering department supporting AI platform development, cloud-native infrastructure, and security initiatives. The ideal candidate will demonstrate strong problem-solving skills, excellent collaboration, and a proactive mindset, which will align successfully in the organization.

Job Title: Senior AI Infrastructure & Platform Engineer

Location: Toronto, ON (Hybrid, 4 days onsite per week)

Start Date: ASAP

Duration: 12+ Months (Renewable)

What's the Job?

  • Design, implement, and operate enterprise-scale AI platforms and cloud-native infrastructure across Azure and AWS environments.
  • Support Agentic AI solutions, including MCP, A2A, Guardrails, Authentication, and Evaluation frameworks.
  • Manage containerized application deployments using Kubernetes platforms such as AKS and OpenShift.
  • Ensure platform security, observability, and monitoring using tools like Prometheus, Grafana, and Dynatrace.
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable AI solutions.

What's Needed?

  • 5+ years of Infrastructure Engineering experience with Azure, Terraform, and Cloud Security.
  • Hands-on experience with Azure AI Foundry, Azure AI Search, Amazon Bedrock, and related AI services.
  • Proficiency with Kubernetes platforms such as AKS and OpenShift, and deploying containerized applications.
  • Strong knowledge of cloud security, authentication, and authorization frameworks, including Azure Entra ID and OIDC.
  • Experience supporting production systems, platform reliability, and implementing AI platform solutions.

What's in it for me?

  • Opportunity to work on cutting-edge AI infrastructure projects in a dynamic environment.
  • Collaborate with a diverse and talented team committed to innovation and excellence.
  • Enhance your skills with exposure to leading cloud and AI technologies.
  • Contribute to impactful enterprise solutions that drive business success.
  • Be part of a forward-thinking organization that values inclusion and professional growth.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions.

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.

More about this job

Responsibilities

Design, implement, and operate enterprise-scale AI platforms and cloud-native infrastructure across Azure and AWS environments. Collaborate with cross-functional teams to ensure platform security, observability, and scalability for AI solutions.

Requirements

Requires 5+ years of infrastructure engineering experience with Azure, Terraform, and cloud security. Candidates must have hands-on experience with AI services like Azure AI Foundry and Amazon Bedrock, as well as proficiency in Kubernetes.

Skills

  • Azure
  • AWS
  • Terraform
  • Cloud Security
  • Azure AI Foundry
  • Azure AI Search
  • Amazon Bedrock
  • Kubernetes
  • AKS
  • OpenShift
  • Containerization
  • Azure Entra ID
  • OIDC
  • Prometheus
  • Grafana
  • Dynatrace

Benefits

  • Professional growth opportunities
  • Exposure to leading cloud and AI technologies
  • Collaborative work environment

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Security & Safety

Keywords

  • AI Infrastructure
  • Cloud Engineering
  • Azure
  • AWS
  • Terraform
  • Cloud Security
  • Kubernetes
  • AKS
  • OpenShift
  • Azure AI Foundry
  • Azure AI Search
  • Amazon Bedrock
  • Agentic AI
  • MCP
  • A2A
  • Guardrails
  • Authentication
  • Observability
  • Prometheus
  • Grafana
  • Dynatrace
  • Azure Entra ID
  • OIDC
  • Infrastructure as Code
  • Platform Engineering

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