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We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

We are seeking a self-driven Cloud Architect or a Cloud Manager to plan and design the technology solution for client engagements.

This job posting relates to an existing vacancy within our organization.

Your Key Responsibilities

- Lead cloud assessments, architecture workshops and technical strategy discussions, translating findings into actionable transformation roadmaps.
- Lead the initiatives to identify right set of cloud technologies to be used for specific type of solutions and drive the effort to templatize and automate those technologies to be used at scale in all products and applications across organization.
- Architect & Design solutions for cloud (e.g. AWS, Azure) which are optimal, secure, efficient, scalable, resilient and reliable, and at the same time. are compliant with EY cloud standards and policies.
- Architect and build AI-enabled cloud platforms using AI Engineering best practices, including LLMs, RAG and agents, with scalability, security and responsible AI embedded by design.
- Lead the operationalization of AI solutions through automated delivery, evaluation, guardrails and AI observability to manage quality,



reliability, performance and cost.
- Establish reusable cloud platform patterns, Infrastructure as Code, GitOps, CI/CD and engineering automation.
- Design strategies and tools to deploy, monitor, and administer Cloud applications and the underlying services for Cloud (e.g. Azure, AWS, private cloud)
- Architect and implement DevOps processes and CI/CD pipelines using tools like VSTS, Jira, Ansible, Jenkins, Chef.
- Build quick POCs and write some code for exploring new technology solutions.

Skills And Attributes For Success

- Cloud Architecture: Deep experience architecting enterprise cloud platforms (preferably Azure) across compute, networking, storage, identity, security, data and managed services. Experience with AWS or other cloud experience is an asset.
- Cloud Native: Strong architecture and hands-on experience with AKS/Kubernetes, Docker, Helm, microservices and distributed platforms across cloud and hybrid environments.
- Reliability & Resilience: Strong understanding of SRE, high availability, disaster recovery, business continuity, incident management, capacity, performance and production readiness.
- Security & Governance: Experience architecting secure cloud and container environments using identity, RBAC, secrets management, network security, policy and compliance controls.
- Business & Client Leadership:



Strong business acumen, executive communication and stakeholder management, translating organizational strategy into architecture decisions and actionable roadmaps.
- Automation & Platform Engineering: Robust experience with Terraform/Bicep, GitOps, CI/CD, Python/PowerShell and reusable cloud platform patterns and engineering automation.
- Software Engineering: Experience across the product lifecycle, including coding standards, code reviews, source control, testing, debugging, build, deployment and operations.
- Application & Integration Engineering: Experience with one or more programming languages, such as Python, C# or Java, along with REST APIs, web services and scalable, multi-tenant application integration patterns.
- Cloud Observability: Strong experience with Dynatrace, OpenTelemetry and Azure Monitor, including telemetry architecture, metrics, logs, distributed tracing, SLOs and root-cause analysis.
- Architecture Leadership: Ability to lead technical assessments, architecture workshops, design governance and multidisciplinary engineering teams through complex cloud engagements.
- Cloud Modernization: Experience defining application, infrastructure and platform modernization and migration strategies aligned with business and operational priorities.
- Supporting Technologies: Familiarity with Linux, SQL, XML/JSON, data ingestion and analytics, React/Angular, and complementary logging, search and build tools.
- AI Engineering: Experience architecting and operationalizing AI-enabled cloud platforms using LLMs, RAG, vector search, agents, evaluation, guardrails, responsible AI and AI observability.

To Qualify for the r

📌 Azure Cloud Architect (Ottawa)
🏢 EY
📍 Ottawa