Summary
✨ AI‑Generated
Join a cloud transformation team as a hands-on Cloud Engineer driving Azure automation and infrastructure modernization. Most of your work will center on reusable Terraform modules, cloud landing zones, automated CI/CD pipelines, security modernization, and integration with legacy environments. You will also gain exposure to emerging enterprise AI capabilities and large-scale application migration.
Highlights
Hands-on cloud engineering role centered on large-scale Azure modernization and automation. The position offers direct exposure to landing-zone architecture, reusable Terraform modules, CI/CD automation, zero-trust security, legacy integration, and emerging enterprise AI technologies.
Description
Position Overview
A leading financial services and real estate technology firm is executing "Cloud 2.0"—a major multi-year initiative focused on complete cloud redesign, greenfield Microsoft Landing Zone architecture, zero-trust security implementation, and the migration of 20+ core enterprise applications to Microsoft Azure, is seeking a hands-on, automation-driven Cloud Engineer to sit at the center of this transformation.
Working as part of a collaborative technology team, the role is 90% focused on cloud automation and infrastructure modernization, while helping bridge foundational networking connections to legacy systems.
This position provides direct, hands-on exposure to advanced cloud landing zones, automated CI/CD deployment pipelines, and emerging enterprise AI technology (including Azure Foundry, Document Intelligence, and AIOps).
Key Responsibilities
Infrastructure as Code (IaC): Design, write, and maintain scalable, reusable Terraform modules to automate cloud infrastructure provisioning across Microsoft Azure [1, 2].CI/CD Pipeline Management: Build, optimize, and support automated deployment pipelines in Azure DevOps for continuous application releases and infrastructure updates [1, 2].Cloud 2.0 App Migrations: Partner with senior cloud architects to migrate 20+ enterprise applications into modernized Azure landing zones utilizing zero-trust and updated RBAC security models [2].Hybrid Operations & Networking: Maintain high availability across cloud platforms (90%) while managing foundational networking connections (DNS, IP subnets, routing, TCP/IP) to legacy environments (10%) [2].Technical Troubleshooting: Participate in live deployment debugging, script troubleshooting, and operational problem-solving across development and production environments [1, 2].
Qualifications & Skill Requirements
Total IT Foundation: 5+ years of total hands-on IT infrastructure, technical support, or system engineering experience.Cloud Infrastructure Depth: 2 to 4 years of hands-on experience building, automating, and maintaining cloud workloads in Microsoft Azure (candidates with primary AWS expertise who possess strong transferable cloud fundamentals are eligible).Terraform Mastery: Demonstrated hands-on experience writing and debugging Terraform code for infrastructure provisioning.DevOps & Automation: Proven track record implementing and managing CI/CD pipelines using Azure DevOps or GitHub Actions.Networking Fundamentals: Strong working knowledge of foundational networking protocols (DNS, IP subnets, routing, TCP/IP).Assessment Readiness: Ability to walk through, explain, and debug live code snippets and cloud deployment architectures during technical screening.
Key Role Highlights
Cutting-Edge Projects: Direct involvement in a greenfield enterprise cloud overhaul rather than standard legacy maintenance.Exposure to Emerging Tech: Practical experience with enterprise AI services, automated landing zones, and AIOps tools.Collaborative Environment: Integration into an agile, supportive engineering team focused on technical growth and cross-training.
Location: Oakville, ON (Strongly Preferred) or London, ON — Hybrid (3 Days On-Site)
Compensation: $90,000 – $110,000 CAD Base Salary
Annual Incentive Bonus: 8%
Industry: Financial Services & Real Estate Technology
Role Level: Mid-to-Senior Individual Contributor