Jobs in Canada

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Added 1 month ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
We are seeking an experienced Software Engineer with a strong foundation in software development and hands-on experience building with Generative and Agentic AI. This new role is the first…
Added 1 month ago
EB
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
This role leads the design, implementation, and operation of security controls for Artificial Intelligence (AI), generative AI, machine learning, AI agents, copilots, automation platforms,…
Added 1 month ago
EB
Staff Engineer, AI Security
EQ Bank
Toronto, ON
- Full-time
This role leads the design, implementation, and operation of security controls for Artificial Intelligence (AI), generative AI, machine learning, AI agents, copilots, automation platforms,…
Added 1 month ago
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Java Full Stack Developer
Capgemini
Mississauga, ON
- $85,000 to $95,000 CAD / year
- Full-time
7 years' experience as a successful full stack software engineer, delivering software using agile development practices.
Added 1 month ago
Data Scientist
Lantern
Edmonton, AB
Databricks Certified Generative AI Engineer Associate
Added 1 month ago
Associate Electrical Engineer - Substation
Black & Veatch Family of Companies
Markham, ON · Calgary, AB
…fast-growth technology-led arena of advanced manufacturing, and generative AI computing including gigafactories, bio/ag tech, data centers and distributed infrastructure. By joining our…
Added 1 month ago
A
AI Engineer
Astek
AB · Edmonton, AB
- $130,000 to $178,000 CAD / year
- Full-time
🏢 Work Model: Hybrid (2 days per week in the office) · 🏢 Mode de travail : Hybride (2 jours par semaine au bureau)
Added 1 month ago
KA
Lead Full-Stack GenAI Developer (Contractor)
KData AI
Toronto, ON
- Full-time
Seniority & Experience: Proven track record as a Senior or Lead Engineer personally contributing code to production-deployed GenAI systems.
Added 1 month ago
EA
AI Engineer Intern
Electronic Arts (EA)
Vancouver, BC
- Temporary
The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide…
Added 1 month ago
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Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
- Full-time
Working knowledge of AI/ML and generative AI concepts and their implications for enterprise data architecture and governance.
Added 1 month ago
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Lead AI engineer
Hays
Halifax, NS
- $150,000 to $175,000 CAD / year
- Full-time
…cross-functional team responsible for delivering machine learning, generative AI, document intelligence, and intelligent automation solutions. This role combines people leadership,…
Added 1 month ago
TC
AI Deployment & Solutions Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 1 month ago
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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
M
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
- Full-time
Senior Principal Software Engineer, R&DOverview
Added 1 month ago
S
– Ingénieur(e) IA | AI Engineer
Systematix
AB · Edmonton, AB
- $150 to $180 CAD / hour
- Full-time
🚀 Nous recrutons / We’re Hiring – Ingénieur(e) IA | AI Engineer
Added 1 month ago
H
Artificial Intelligence Engineer
Hays
Halifax, NS
- Full-time
Team Lead, AI Engineering / Senior AI Engineer
Added 1 month ago
CI
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
- Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 1 month ago
C
DevOps Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 1 month ago
C
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 1 month ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
Deep expertise in Microsoft Copilot Studio: agent design, generative orchestration, knowledge sources, custom actions/tools, channels, analytics, and M365 Copilot extensibility.
Added 1 month ago
H(
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that turn raw…
Added 1 month ago
NR
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
We are seeking a Senior AI Forward Deployment Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize…
Added 1 month ago
TC
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
- Full-time
The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never…
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

CoreFactor

DevOps Engineer (Permanent)

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

Full-time

Apply on LinkedIn About employer

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.

Apply on LinkedIn About employer

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