Cloud, Automation & AI Engineer Consultant

Deloitte France; Toronto; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

Deloitte is seeking a Cloud, Automation & AI Infrastructure Engineer to design, build, and modernize cloud platforms for enterprise-scale initiatives in a hybrid Toronto setting.

You will work with engineers, architects, security teams, and business leaders to deliver scalable, secure AI-enabled infrastructure and platform solutions across diverse client environments.

Qualifications

• Bachelor's degree in Engineering.
• Experience in one or more cloud/platform/infrastructure domains.
• Familiarity with Azure, AWS or Google Cloud and IaC tools (Terraform, CloudFormation, ARM/Bicep).

Responsibilities

• Design, build, and maintain secure, scalable cloud infrastructure platforms across modern cloud environments.
• Develop IaC solutions, reusable deployment patterns, and automated provisioning frameworks.
• Create and maintain CI/CD pipelines to support deployment and operations.
• Collaborate with solution architects, security teams, developers, and operations teams.
• Support large-scale cloud migration and modernization initiatives.
• Contribute to infrastructure for analytics, ML, generative AI workloads.
• Automate operational processes, monitoring, config mgmt, testing, compliance validation, deployment.
• Troubleshoot and resolve complex technical challenges across cloud services, networking, identity management, security, storage, compute, applications.
• Improve platform observability, performance, reliability, security.
• Evaluate emerging technologies and conduct proof-of-concepts.
• Participate in technical discussions, design reviews, architecture workshops.
• Take ownership of technical initiatives end-to-end.

Skills

Cloud Engineering

Platform Engineering

Infrastructure Engineering

DevOps Engineering

Systems Engineering

Software Engineering

Data Platform Engineering

Automation Engineering

Education

Bachelor's degree in Engineering

Tools

Terraform

Bicep

ARM Templates

CloudFormation

Job description

Cloud, Automation & AI Engineer Consultant Language My Candidate Profile Employee login Job Description 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: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. 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. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

At Deloitte, your work will make an impact that matters.

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. You will have the opportunity to work across diverse client environments while developing solutions that deliver measurable business value.

What will your typical day look like?

As a Cloud, Automation & AI Infrastructure Engineer, you will:

• Design, build, and maintain secure, scalable, and resilient cloud infrastructure platforms across modern cloud environments.
• 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.

About the team

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.

Enough about us, let’s talk about you

You are someone who has:

Required Qualifications

• Bachelor's degree in Engineering
• Experience in one or more of the following domains:

• 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