Jobs in Canada

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Added 1 month ago
S
Machine Learning Engineer - Multiple Positions
SurveyMonkey
Ottawa, ON
- Full-time
As such, you will be required to work from a SurveyMonkey office for up to 1 day per week
Added 1 month ago
TT
Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
- $70 to $77 CAD / hour
- Contract
This role operates under a hybrid work model and requires employees to work from the office a minimum of two days per week.
Added 1 month ago
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Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
- Full-time
Mastercard is looking for a Senior Principal Software Development Engineer to join the Mastercard Foundry Research and Development team in our Toronto location. In this role, you will…
Added 1 month ago
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Artificial Intelligence Engineer
Hays
Halifax, NS
- Full-time
Opportunities are available at both the Senior AI Engineer and Team Lead, AI Engineering levels. Successful candidates will play a key role in designing, building, scaling, and supporting…
Added 1 month ago
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DevOps Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an experienced AI/ML DevOps Engineer to join our clients Data, AI & Analytics team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 1 month ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
Design and develop system architecture for enterprise-grade agent solutions on Microsoft Copilot Studio - agent design, knowledge-source strategy, custom actions and tools, channel…
Added 1 month ago
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Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Our Enterprise Data Platform team builds and operates the cloud data platform that powers analytics, reporting, and AI across HOOPP. As a Senior Data Engineer, reporting to the Senior…
Added 1 month ago
NR
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
Design AI solutions that use structured and unstructured enterprise data.
Added 1 month ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience
Added 1 month ago
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Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
- Full-time
GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Added 1 month ago
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Product Engineer, DT Commercial
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Toronto, ON
- Full-time
The Product Engineer, R&D and Innovation leads the technical delivery of digital products and data-enabled solutions supporting scientific and product-development work.
Added 1 month ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
Production Support (L2/L3) in enterprise applications
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products that power enterprise reporting and analytics.
Added 1 month ago
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Principal Engineer
Appnovation
Toronto, ON
- Full-time
We are seeking a Principal Engineer to own the end-to-end technical coherence of an enterprise marketing technology ecosystem for our life sciences clients. In most large organizations,…
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products that power enterprise reporting and analytics.
Added 1 month ago
H(
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Our Enterprise Data Platform team builds and operates the cloud data platform that powers analytics, reporting, and AI across HOOPP. As a Senior Data Engineer, reporting to the Senior…
Added 1 month ago
RA
[New Grad] Applied AI Engineer
Ranger AI
Canada
- Full-time
Work with structured and unstructured enterprise data.
Added 1 month ago
Principal Engineer
Appnovation Technologies
Toronto, ON
We are seeking a Principal Engineer to own the end-to-end technical coherence of an enterprise marketing technology ecosystem for our life sciences clients. In most large organizations,…
Added 1 month ago
Site Reliability Engineer (Adobe Experience Mgr)
Capgemini
Toronto, ON
…monitoring on the production domains, CDN access logs streamed to enterprise SIEM as the log source of record, and external synthetics. There is no origin server log - designing around that…
Added 1 month ago
S
Gen AI Engineer
Synechron
Montreal, QC
- $80,000 to $90,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 1 month ago
AI
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
- Full-time
Lead the full lifecycle - problem framing, data preparation, modelling, validation, and deployment - for the AI/ML use cases they lead, across classical ML and generative/LLM applications.
Added 1 month ago
RA
Applied AI Engineer
Ranger AI
Canada
- Full-time
Work directly with enterprise customers to understand workflows, requirements, data, and business objectives.
Added 1 month ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Lead the full lifecycle - problem framing, data preparation, modelling, validation, and deployment - for the AI/ML use cases they lead, across classical ML and generative/LLM applications.
Added 1 month ago
FE
AI Automation Engineer
Future Electronics
Kirkland, QC
- Full-time
Experience with generative AI, retrieval augmented generation (RAG), vector databases, intelligent agents, and enterprise AI architectures.
Added 1 month ago
UR
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines…

CoreFactor

DevOps Engineer (Permanent)

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
Posting language: English
Posted: Sep 27, 2026

Original job description

CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.

This position is hybrid and will require the successful incumbent to go into the office four (4) times per week.

We are seeking an experienced AI/ML DevOps Engineer to join our clients Data, AI & Analytics team. In this role, you will help operationalize Gen AI and machine learning solutions by building and maintaining reliable CI/CD pipelines and production environments that support scalable AI applications. You will work closely with data scientists, AI engineers and data engineers to move AI solutions from prototype to production while meeting enterprise standards for reliability, security, and performance.

KEY RESPONSIBILITIES:

AI Solution Delivery & Production Deployment

Enable the end-to-end delivery of AI, ML, and GenAI solutions, supporting use cases from early experimentation through scalable production.
Partner with data scientists, AI engineers, data engineers, and data ops teams to move solutions from prototype to production-ready delivery.
Support common AI solution patterns such as retrieval-augmented generation (RAG), search-driven applications, and AI-assisted or agent-based workflows.
Contribute to reusable deployment approaches and solution templates that accelerate delivery across multiple AI initiatives.

CI/CD & Release Engineering (DevOps / MLOps Enablement)

Support production deployments on Snowflake and cloud platforms (AWS or equivalent), including automated releases and environment separation.
Build and maintain CI/CD pipelines using Jenkins and Bitbucket (or equivalent) to deploy AI/ML and data-driven applications.
Support release practices including environment separation, deployment automation, and safe promotion across dev/test/prod.

Reliability, Monitoring & Operational Excellence (AIOps Mindset)

Improve production readiness through monitoring, alerting, logging, deployment validation, and operational best practices.
Troubleshoot production issues across pipelines, integrations, and AI applications; drive root-cause remediation and preventive improvements.
Ensure solutions meet enterprise standards for security, stability, performance, and reliability.

Requirements

Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent professional experience.

Experience:

5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
Strong understanding of CI/CD concepts, release practices, and operational support in production environments.
Hands-on experience building CI/CD pipelines with Jenkins and source control using Bitbucket (or equivalent).
Proven experience deploying and supporting production systems.
Experience working with data or AI platforms (e.g., Snowflake or equivalent), or strong interest in learning new platforms.
Experience collaborating with AI/ML and data engineering teams to operationalize AI-driven applications and data-intensive workflows.
Proficiency in Python, Bash, or similar scripting/programming languages.
Familiarity with containerized environments (Docker).

Preferred Qualifications:

Experience deploying AI or data-driven applications, including APIs, services, or lightweight user interfaces (e.g., Streamlit, React).
Experience with integrations, authentication/authorization, and secure connectivity (e.g., SSO/OAuth, service accounts, API integrations).
Exposure to Tableau or analytics/BI tools.
Experience in financial services, fintech, or investment management.

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More about this job

Responsibilities

Operationalize AI, machine learning, and generative AI solutions by building and maintaining CI/CD pipelines and production environments, and supporting deployments on Snowflake and cloud platforms. Improve reliability and production readiness through monitoring, troubleshooting, secure release practices, and reusable deployment approaches in collaboration with data and AI teams.

Requirements

Requires 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps, with strong CI/CD and production support experience, including Jenkins and Bitbucket or equivalents. Candidates need scripting proficiency and experience with production systems and data or AI platforms; a relevant bachelor's degree or equivalent professional experience is required, while Docker familiarity is expected.

Skills

DevOps
MLOps
CI/CD Pipelines
Jenkins
Bitbucket
Snowflake
AWS
Python
Bash
Docker
AI/ML Deployment
Monitoring And Alerting
Production Troubleshooting
RAG
Authentication And Authorization
Secure Connectivity

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
Artificial Intelligence
Machine Learning
Generative AI
CI/CD
Jenkins
Bitbucket
Snowflake
AWS
Python
Bash
Docker
Retrieval-Augmented Generation
RAG
Data Engineering
Data Science
Data Operations
Production Deployment
Release Engineering
Monitoring
Alerting
Logging
Root-Cause Analysis
APIs
Streamlit
React
SSO
OAuth
Financial Services

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Work requirements

Jobs in Canada