1

Cloud Computing Jobs in Quebec (NOW HIRING)

Proven ability to negotiate and close complex contracts within the cloud computing sector. * Creative and strategic thinker, with a talent for driving business growth through innovative cloud ...

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; * Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes ...

We are looking for a System Administrator, part of an agile team reporting to the IT Director, focused on the administration of our on-premise and cloud computing environments, supporting our mission ...

$120 - $180/hr

We support organizations in their digital transformation initiatives, including architecture, cybersecurity, cloud computing, data management, and IT service management. As part of our continued ...

New

CA$1 - CA$11/hr

AWS cloud computing | Required | All prerequisites * Integration of artificial intelligence in software development, GitHub Copilot, code generation, test automation, performance optimization, DevOps ...

Infrastructure / Cloud Computing: * Automated deployment of robust solutions on one of the leading cloud providers (GCP, Azure, AWS) * Delivery of solutions on Kubernetes * Cloud networking expertise ...

Expérience avec des plateformes de cloud computing telles que AWS, Azure ou GCP; * Connaissance des services de traitement des données en cloud comme AWS Lambda, Azure Data Factory, ou Google Cloud ...

Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. * Practical knowledge of Linux and networking * Experience in technical presales * You ...

next page

Showing results 1-20

Cloud Computing information

See Quebec salary details

$30K

$118.4K

$195K

How much do cloud computing jobs pay per year?

As of Jul 26, 2026, the average yearly pay for cloud computing in Quebec is $118,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are cloud computing jobs?

Cloud computing jobs involve managing and supporting cloud-based infrastructure, services, and applications. Roles such as cloud engineers, architects, and administrators require skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of networking, security, and scripting. These jobs often require certifications and involve working in environments that support remote or on-site work.

Is cloud computing a good career?

Cloud computing is a growing field with high demand for professionals skilled in platforms like AWS, Azure, and Google Cloud. It offers opportunities in areas such as infrastructure, security, and DevOps, often requiring certifications and technical expertise. The career can be stable and well-paying due to the increasing reliance on cloud services across industries.

What are some typical challenges faced by professionals working in cloud computing roles?

Professionals in cloud computing often navigate challenges such as ensuring data security and compliance, managing costs associated with cloud resources, and keeping up with rapidly evolving technologies. Collaborating effectively with cross-functional teams, such as developers, security analysts, and business stakeholders, is also crucial to successfully deploying and maintaining cloud solutions. Additionally, adapting to different cloud platforms (like AWS, Azure, or Google Cloud) and their unique services can require continuous learning and flexibility.

What Is Cloud Computing?

Cloud computing is the process of using remote resources to complete tasks that you would normally do on a local computer or server. This includes data storage, analytics, database management, software hosting, and many other services. The primary advantage of cloud computing is its ability to scale as customers need it. Most cloud computing takes place in large data centers, each of which has tens of thousands of servers for people to access. With cloud computing, it is possible to add and remove servers to a system as needed to handle the workload, thus freeing the user from needing to buy and maintain each of them separately. You can do cloud computing through private machines that run nothing else, but many operations use shared machines to help distribute the load more effectively.

What is the difference between Cloud Computing vs Cloud Engineer?

AspectCloud ComputingCloud Engineer
Primary FocusUtilizing cloud services and solutionsDesigning, building, and maintaining cloud infrastructure
Required SkillsKnowledge of cloud platforms, basic scripting, understanding of cloud servicesCloud platform expertise, scripting, infrastructure as code, networking
Work EnvironmentCloud service providers, enterprise IT teamsCloud development teams, IT departments, consulting firms
CertificationsAWS, Azure, Google Cloud certificationsAWS Certified Solutions Architect, Azure Solutions Architect, similar certifications

Cloud Computing refers to the use of cloud services and platforms to deliver computing resources, while a Cloud Engineer is a professional who designs, implements, and manages cloud infrastructure. The roles are interconnected, with Cloud Engineers applying their skills to enable effective cloud computing solutions for organizations.

Can I become a cloud engineer in 3 months?

Becoming a cloud engineer typically requires several months to years of learning, depending on prior experience and the complexity of skills such as cloud platforms (AWS, Azure, GCP), scripting, and networking. While intensive training programs or bootcamps can accelerate learning, gaining proficiency usually takes longer than three months for most individuals.

What is cloud computing?

Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software, analytics, and intelligence over the internet ('the cloud'). Instead of owning and maintaining physical data centers or servers, organizations can access these resources on-demand from cloud providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This approach allows for greater flexibility, scalability, and cost efficiency, as users only pay for the resources they use. Cloud computing also enables easier collaboration, backup, and disaster recovery.

What jobs are there in cloud computing?

Jobs in cloud computing include roles such as cloud engineer, cloud architect, cloud administrator, and DevOps engineer. These positions typically require knowledge of cloud platforms like AWS, Azure, or Google Cloud, along with skills in scripting, networking, and security. Certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect are often valued.

What are the key skills and qualifications needed to thrive as a Cloud Computing professional, and why are they important?

To thrive in Cloud Computing, you need a strong understanding of networking, virtualization, cloud architecture, and security, often backed by a relevant degree or cloud certifications. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as tools such as Docker and Kubernetes, is typically required. Problem-solving, adaptability, and effective communication are crucial soft skills for managing cloud-based projects and collaborating with teams. These competencies ensure the efficient design, deployment, and maintenance of scalable and secure cloud solutions in a rapidly evolving technology landscape.
What are the most commonly searched types of Cloud Computing jobs in Quebec? The most popular types of Cloud Computing jobs in Quebec are:
What are popular job titles related to Cloud Computing jobs in Quebec? For Cloud Computing jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Cloud Computing jobs in Quebec look for? The top searched job categories for Cloud Computing jobs in Quebec are:
Infographic showing various Cloud Computing job openings in Quebec as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $118,449 per year, or $56.9 per hour.
Data & AI Consulting Manager - Banking

Data & AI Consulting Manager - Banking

Accenture

Quebec, QC • On-site

Full-time

Posted 12 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 487 rated business services


Job description

Data & AI Manager

We Are:

Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digitalmetamorphoses,widenthe range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?Artificial Intelligence (AI) Services & Solutions | Accenture

You Are:

An expert in the field of Data & Analytics with a strong data driven mindset and a focus on value driven use cases in Banking & Capital Markets. As a Data & AIManager, you will contribute to a strong collaborative team solving our client's data challenges.You will leverage your expertise in strategy development, value architecture, and operating model design to influence client agendas through actionable business insights. Your work will drive data-driven reinvention and cultural transformation.

You will work on a team that is partnering with clients to make bold decisions on priority issues at the intersection of business, technology, and operations within complex data management landscapes. This includes:

  • Applying industry knowledge to mature data management practices across people, processes, and technology.

  • Guiding clients through large-scale AI-led change, from defining ambition and identifying opportunities to building investment cases and steering end-to-end execution.

  • Providing insights on global, economic, technological, and social trends shaping the industry.

The Work:

  • Design and drive AI transformation programs. Reimagine business and technology functions to accelerate value capture at a scale.

  • Bring industry expertise in driving data & AI value driven use cases in Banking & Capital Markets

  • Collaborate with senior leadership and C-level stakeholders to define and execute the client organizations' data & AI strategy, aligning data & AI initiatives with overall business objectives.

  • Prioritize AI use cases aligned to value potential and strategic objectives.

  • Lead and mentor cross-functional teams. Collaborate across strategy, architecture, engineering, and delivery disciplines.

  • Contribute to go-to-market activities, solutioning, proposal development, and capability building.

  • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture's highest quality standards.

  • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.

  • Oversee and mentor a team of consultants and managers, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions

    Here's What You Need:

    • 7+ years of experience in data & AI solutions, with at least 2 years in a team leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.

    • Deep technical and industry expertise in Generative AI, cloud computing, emerging data/AI platforms and trends and AI-driven use cases in Banking & Capital Markets

    • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.

    • Ability to translate business objectives into a clear data & AI strategy. Experience in driving data & AI initiatives that align with orgahttps://peoplelookup.accenture.com/nizational goals and deliver measurable business value.

    • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.

    • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.

    • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.

    • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field

    • Ability to travel and work within Canada

    • A University Degree is required for this position.

    • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

    Bonus Points if:

    • Previous experience within the consulting industry

    • A master's or Ph.D. in Data Science, Computer Science, or a related field, with a focus on Generative AI, Agentic AI or cloud computing

    • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements

    • Relevant certifications in solution architecture or data governance

    Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

    The recruiting efforts for this position are intended to fill a brand new position.
    The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

    It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

    Information on benefits is here.

    Role LocationAnnual Salary Range

    British Columbia/Ontario/New Brunswick$108,800 to $220,400

    #LI-MP

    About Accenture

    Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

    Visit us atwww.accenture.com

    Equal Employment Opportunity Statement

    We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.


    What Accenture Federal Services employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom