Cloud Architect | Azure & AWS Enterprise Cloud Leader

PeoplePilot; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

PeoplePilot seeks an experienced Cloud Architect to design and implement scalable, secure cloud solutions across Azure and AWS. You will lead cloud transformation, define reference architectures, and collaborate with DevOps, Security, and Application teams to drive modernization.

The role emphasizes landing zones, migration, and automation with IaC, ensuring strong governance and reliable operations across enterprise workloads.

Qualifications

• Must possess strong cloud architecture experience across Azure and AWS.
• Experience designing landing zones, migrations, modernization programs.
• Knowledge of reference architectures, HLD/LLD, and cloud design patterns.

Responsibilities

• Design secure, scalable, resilient cloud solutions across Azure and AWS.
• Build and govern enterprise cloud landing zones with proper identity, governance, networking and security.
• Lead migration and modernization programs including assessments, wave planning, execution and optimization.
• Develop reference architectures, HLDs/LLDs, and architectural design documents.
• Drive IaC, automation, and standardization using Terraform, Bicep, ARM, and CloudFormation.
• Support CI/CD pipelines for automated cloud deployments.
• Collaborate with DevOps, Security, Application, and Infrastructure teams to enable cloud adoption.

Skills

Cloud architecture

Cloud strategy

Security governance

IaC

CI/CD

Leadership

DevOps collaboration

Tools

Terraform

Bicep

ARM templates

CloudFormation

AKS

EKS

Job description

PeoplePilot seeks an experienced Cloud Architect to design and implement scalable, secure cloud solutions across Azure and AWS. You will lead cloud transformation, define reference architectures, and collaborate with DevOps, Security, and Application teams to drive modernization.

The role emphasizes landing zones, migration, and automation with IaC, ensuring strong governance and reliable operations across enterprise workloads.