Cloud Architect

Mindlance; Toronto; On-site; CAD 96,432 - 103,320; Full time

Job summary

A technology consulting firm is seeking a Cloud Solutions Architect to design and deliver secure, scalable cloud infrastructure for AI-driven platforms. This mid-senior role involves collaborating with engineering teams on Azure and GCP to build enterprise-grade solutions. The candidate should have 3+ years of experience in cloud architecture, proficiency with GCP and Azure, and hands-on expertise in deploying AI systems, including knowledge of Docker and Kubernetes. Competitive pay rates of CA$70.00/hr - CA$75.00/hr are offered.

Qualifications

• 3+ years of experience in cloud architecture and DevOps.
• Strong hands-on expertise with GCP and Microsoft Azure.
• Experience deploying AI / LLM systems in cloud environments.
• Proficiency with Docker, Kubernetes, and microservices.
• Knowledge of cloud security and monitoring.

Responsibilities

• Design end-to-end cloud architecture for AI and orchestrator platforms.
• Build and manage CI/CD, release, and testing pipelines.
• Provision, secure, and scale cloud resources on GCP & Azure.
• Ensure best practices for security, monitoring, reliability, and cost optimization.

Skills

Cloud architecture

DevOps

GCP

Microsoft Azure

Docker

Kubernetes

Microservices

Distributed systems

Cloud security

Monitoring

Job description

This range is provided by Mindlance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$70.00/hr - CA$75.00/hr

Direct message the job poster from Mindlance

Hiring: Cloud Solutions Architect

We’re looking for a Cloud Solutions Architect to design and deliver secure, scalable, and cost-efficient cloud infrastructure supporting AI-driven and multi-agent platforms. You’ll work closely with frontend, backend, and LLM engineering teams to build enterprise-grade solutions on Azure and GCP.

Responsibilities

• Design end-to-end cloud architecture for AI and orchestrator platforms
• Build and manage CI/CD, release, and testing pipelines
• Provision, secure, and scale cloud resources on GCP & Azure
• Ensure best practices for security, monitoring, reliability, and cost optimization

Must Haves

• 3+ years of experience in cloud architecture & DevOps
• Strong hands‑on expertise with GCP and Microsoft Azure
• Experience deploying AI / LLM systems in cloud environments
• Proficiency with Docker, Kubernetes, microservices, and distributed systems
• Knowledge of cloud security, monitoring, and real-time systems (WebSockets)

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier‑free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology and Consulting

Industries

Technology, Information and Media

Referrals increase your chances of interviewing at Mindlance by 2x