Cloud, Automation & AI Engineer Consultant Language My Candidate Profile Employee login Job Alerts Link Cloud, Automation & AI Engineer Consultant Posting Start Date: 9/14/26 Job Type: Permanent Work Model: Hybrid Reference code: 135026 Primary Location: Toronto, ON All Available Locations: Brossard, QC

- Laval, QC
- Montreal, QC
- Quebec City, QC
- We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. Enjoy flexible, proactive, and practical perks that foster a culture of well-being and connectedness. Are you passionate about cloud technologies, automation, infrastructure engineering, and the rapidly evolving world of Artificial Intelligence? Do you enjoy solving complex technical challenges and building scalable platforms that enable innovation at enterprise scale? As a Cloud, Automation & AI Infrastructure Engineer, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that support some of Canada's most significant digital transformation initiatives. Working alongside a multidisciplinary team of engineers, architects, security specialists, and business leaders, you will help organizations build secure, scalable, and intelligent technology ecosystems that power the future of work. This role offers exposure to cloud transformation, infrastructure automation, DevOps practices, platform engineering, cybersecurity, application modernization,



data platforms, and emerging AI infrastructure technologies. As a Cloud, Automation & AI Infrastructure Engineer, you will: Develop Infrastructure-as-Code (IaC) solutions, reusable deployment patterns, and automated provisioning frameworks that accelerate delivery and improve consistency. Create and maintain CI/CD pipelines to support application deployment, infrastructure management, and operational excellence. Collaborate with solution architects, security teams, developers, and operations teams to translate business and technical requirements into production-ready solutions. Support large-scale cloud migration and modernization initiatives involving enterprise applications, data platforms, and critical business services. Contribute to the design and implementation of infrastructure supporting advanced analytics, machine learning, generative AI, and intelligent application workloads. Automate operational processes, monitoring, configuration management, testing, compliance validation, and deployment activities. Troubleshoot and resolve complex technical challenges across cloud services, networking, identity management, security, storage, compute, and application platforms. Improve platform observability, performance, reliability, availability, and security through proactive engineering and continuous improvement practices.



Evaluate emerging technologies and conduct proof-of-concepts to assess their applicability within enterprise environments. Participate in technical discussions, design reviews, and architecture workshops with internal teams and client stakeholders. Take ownership of technical initiatives from problem identification through implementation, optimization, and operational support.

Our Cloud

Engineering and Digital Transformation professionals help organizations modernize their technology foundations through innovative cloud, automation, data, and AI solutions. We work with public and private sector clients to solve complex business challenges, enable digital innovation, and create technology platforms that support long-term growth and transformation. By combining engineering excellence with strategic thinking, our teams help clients accelerate cloud adoption, strengthen security, modernize application landscapes, and unlock the full value of Artificial Intelligence.

Bachelor's degree in Engineering Cloud Engineering Platform Engineering Infrastructure Engineering DevOps Engineering Systems Engineering Software Engineering Data Platform Engineering Automation Engineering Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Strong understanding of infrastructure, networking, operating systems, virtualization, and distributed systems concepts.

Experience developing automation solutions using scripting or programming languages such as Python, PowerShell, Bash, or similar. Familiarity with Infrastructure-as-Code technologies such as Terraform, Bicep, ARM Templates, CloudFormation, or equivalent platforms. Knowledge of CI/CD tools, DevOps practices, source #

📌 Cloud, Automation & AI Engineer Consultant (Toronto)
🏢 Deloitte France
📍 Toronto