Find work in Canada.
666,811 jobs across our Canadian network. How we count
Jobs in Canada
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Enterprise Architect
Synechron
Develop cloud architecture and modernization strategies across AWS, Azure, and/or GCP.
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Senior AI Engineer
CI Financial
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
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Associate or Vice President Full Stack Engineer
BMO
Cloud and DevOps experience with AWS/Azure/GCP, Docker containerization, and CI/CD pipeline implementation
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AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
The Software and Platform Architecture Team is looking for a creative, highly skilled and talented AI Lead Architect with deep Subject Matter Expertise in AI governance and implementation…
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AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
The Software and Platform Architecture Team is looking for a creative, highly skilled and talented AI Lead Architect with deep Subject Matter Expertise in AI governance and implementation…
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Associate Director DevOps Developer
RBC
Architect, implement, and ship DevOps platform capabilities for QTS and across Capital Markets
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Software Engineer, Data Acquisition
Nascent
…to build new scrapers, defeat anti-bot countermeasures, and architect resilient pipelines; the other half you're deep in logs, monitoring dashboards, and fleet health - diagnosing failures,…
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Machine Learning Scientist II - Marketing Optimization
Wayfair
Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production
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Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
You will work closely with our Lead Solutions Architect, Products Integrative Director, Technical Project Manager, and Staff and Senior Developers across front-end and back-end teams. You…
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Architect - Machine Learning
Quantiphi
Bridge Cloud Ecosystems: Architect solutions that leverage GCP's advanced AI services (Vertex AI) while operating on AWS-resident data (Redshift, S3, Lakehouse patterns).
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AI Pre-Sales Consultant
Thinkpivot
AWS Certification: Must hold a valid AWS Certified Solutions Architect (Associate or Professional)
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Senior Solutions Engineer
Suger
We work in a hybrid model with 4 days per week in our Downtown Vancouver office
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Tech Lead | Canada
Cuesta Partners
Experience with data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (e.g.,SQL, Python, Spark).
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Enterprise Architect – AI and Data
BMO
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools.
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Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Drive Innovation: Advise on cloud infrastructure (AWS/GCP) and database strategies to support our long-term roadmap.
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Data Integration Developer
Trafigura
Hands-on experience with cloud data services (e.g. AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g. Terraform, CloudFormation).
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Director, Software Engineering
Capital One
Experience with Cloud computing platforms (AWS, Azure or GCP)
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ETL Consultant (Hybrid)
Cognizant
Working knowledge of cloud platforms (AWS, Azure, or GCP) and their native services.
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Architect, Data Science
Lovelytics
…all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500…
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Sr. Integration Architect - Automation
Infotree Global Solutions
Cloud platforms (AWS, Azure, GCP) and their integration services
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Angular Developer
Nityo Infotech
Knowledge of Micro Frontend architectures or cloud platforms (AWS / Azure / GCP).
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Data Scientist
AgileGrid Solutions
…experience working on cloud platforms like Azure (preferred), AWS, or GCP, and MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to…
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Machine Learning Software Developer
Circle Cardiovascular Imaging
Demonstrated experience designing and managing ML workflows on a major cloud platform (AWS, GCP, or Azure).