Top Cloud Architect Jobs in Toronto

Designs and leads secure AWS architectures for migrating critical banking systems from on-premises data centers. Responsibilities include legacy dependency mapping, migration strategy, landing zones, hybrid connectivity, infrastructure as code, security controls, regulatory compliance, disaster recovery, cost governance, audit evidence, and cloud modernization. The role partners with risk, compliance, security, architecture, application, and engineering teams while providing technical guidance and supporting regulatory examinations.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

Lead complex enterprise customer engagements involving secure, resilient, AI-enabled Azure solutions. Advise executives and technical leaders, improve solution health, performance, and availability, resolve critical incidents, and drive cloud adoption and business value. Deliver proactive assessments, workshops, guidance, and support while collaborating with account, engineering, and support teams. Influence product roadmaps, identify growth opportunities, mentor technical talent, lead projects, and contribute to customer success strategies and on-call support.

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

Leads customer-facing architecture engagements to modernize enterprise data platforms and build secure, governed, AI-ready solutions on Azure. Designs roadmaps across analytics, databases, data engineering, governance, and AI; guides proof-of-concept through production deployment; and supports migration, resiliency, performance, security, cost optimization, and scaled adoption. Partners with account, engineering, delivery, and customer success teams to remove technical blockers and develop reusable solution patterns.

Own the technical relationship between Microsoft and customers, helping them adopt Azure and Microsoft 365 security solutions. Lead architectural design sessions, develop Zero Trust and cloud security strategies, resolve implementation blockers, improve security posture, and drive adoption of Purview, Defender, identity, access management, and threat protection solutions. Collaborate with Microsoft engineering, product, consulting, partner, and security teams while advising senior IT stakeholders and delivering secure, scalable solutions.

Design and lead cloud and hybrid infrastructure solutions across Azure and on-prem environments. Create roadmaps, architecture standards, solution designs, and whitepapers. Guide implementation with IaC, automation, containerization, CI/CD, and governance while coaching teams and collaborating with stakeholders to ensure secure, scalable, and operable platforms.

Lead the architecture, operations, reliability, and continuous improvement of production Azure platforms, with emphasis on AKS, networking, Terraform, GitOps, CI/CD, observability, and incident response. Serve as an L3/L4 escalation expert, implement automation and operational guardrails, improve deployment and production-readiness practices, troubleshoot complex infrastructure issues, and mentor cloud operations engineers across engineering, SRE, security, and delivery teams.

Own the Oracle technical architecture for a global Finance transformation implementing Oracle Fusion Cloud ERP and EPM. Responsibilities include governing integrations, Oracle Integration Cloud and OCI environments, security and architecture clearances, technical standards, third-party connectivity, deployment readiness, support transition, monitoring, and post-go-live sustainment. The role provides hands-on technical authority across implementation waves and ongoing operations, collaborating with systems integrators, security teams, finance stakeholders, and managed support partners.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Designs and evolves scalable, highly available, resilient, and cost-effective AWS and Azure architectures. Builds cloud automation, Infrastructure as Code, CI/CD workflows, networking, serverless and containerized solutions, disaster recovery, and cross-cloud connectivity. Improves cloud environments through modernization, performance and cost optimization, and operational automation. Partners with engineering and operations teams on migrations, troubleshooting, architecture reviews, and proofs of concept while defining standards and mentoring engineers.

Own enterprise customer deployments from architecture through go-live and ongoing operations. Integrate the platform with identity, data, engineering, infrastructure, and model-serving systems across managed Kubernetes, cloud, on-premises, air-gapped, GPU, and HPC environments. Lead security reviews, troubleshoot complex infrastructure issues, support customers, create operational documentation, and feed deployment insights into Product.

Lead the design and architecture of Genesys Cloud CX solutions, translating business requirements into scalable architectures while guiding engineering teams throughout the development and deployment phases.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Design and lead Genesys Cloud CX contact center architectures, translate business requirements into scalable secure solutions, oversee integrations (CRM, WFM, analytics), ensure performance, compliance, and mentor engineering teams to deliver cloud-based CX platforms.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Design and deliver cloud and AI security solutions, provide architecture and automation code, build proofs-of-concept, advise customers, publish reference architectures and technical content, and support training and evangelism for Fortinet cloud products.

As a Cloud Solutions Architect at Canonical, you will enable adoption of open source technologies, architect cloud solutions, and engage with partners globally.

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.