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Added 3 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 3 hours ago
Product Engineer Electronics
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
Full-time
As a Product Engineer - Electronics for John Deere Reman - Springfield located in Springfield, Missouri, you will:
Added 3 hours ago
Full Stack Engineer with AI
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Montreal, QC
Contract
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Added 4 hours ago
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Full-time
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Added 4 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
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…requirements, functional specifications, process flows, use cases, test cases, and other project artifacts throughout the project…
Added 4 hours ago
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Added 4 hours ago
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Lead Full Stack Engineer (.Net, Vue/React) - Fully Remote
CoverGo
Remote, Canada
Full-time · Remote
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction…
Added 5 hours ago
Mobile App Engineer - React Native, Full Stack & AI
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Toronto, ON · Greater Toronto Area, Canada
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Kora is a fully AI-native company. AI coding agents are central to how we research, build, debug, test, and ship software. We expect every engineer to work effectively with tools such as…
Added 5 hours ago
AI Engineer - Agents & Backend
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Kora is a fully AI-native company. AI coding agents are central to how we research, build, debug, test, and ship software. We expect every engineer to work effectively with tools such as…
Added 5 hours ago
DevOps Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 6 hours ago
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 6 hours ago
Junior Solutions Engineer
Pontosense
Toronto, ON
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Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 8 hours ago
AMR Systems Engineer
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Full-time
The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely…
Added 8 hours ago
QA Engineer (Early Career) (Canada)
Jobright.ai
Canada
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Prompt Engineer - Early Career (Canada)
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Desktop Support Engineer (Level 2)
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Software Engineer
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You will work directly with our customers to design and develop software solutions and create simulations and models based on project specifications and carry out verifications assigned to…
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Senior Mechanical Engineer
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…integrating specialty communications, unique electronics, intelligent software, tele-autonomy, and mobile mechatronics, the company provides end-to-end solutions from concept and design…
Added 10 hours ago
Test Automation Engineer
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Our ideal candidate should have a perfect blend of software developer and QA automation skill sets.
Added 10 hours ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 10 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
…requirements, functional specifications, process flows, use cases, test cases, and other project artifacts throughout the project…
Added 10 hours ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
…discipline inputs – Business Development, Analysis, Electrical, Software, Fluid Power, Metallurgy, Manufacturing,…
Added 12 hours ago
Frontend Engineer
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Canada
Full-time
…process and helps users reach better job outcomes. The Frontend Engineer builds accessible, reliable web interfaces by implementing responsive designs, integrating APIs, and supporting…

CoreFactor Inc.

DevOps Engineer (Permanent)

ON, Canada
Downtown Toronto (Underground city), ON, Canada

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

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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

The DevOps Engineer will operationalize GenAI and machine learning solutions by building reliable CI/CD pipelines and production environments. They will collaborate with data scientists and engineers to move AI solutions from prototype to production while ensuring enterprise standards for security and performance.

Requirements

Candidates must have a bachelor's degree in a technical discipline and 5–7 years of experience in DevOps, software engineering, or MLOps. Proficiency in Python, Bash, containerization, and experience with CI/CD tools like Jenkins and cloud platforms like AWS or Snowflake is required.

Skills

DevOps
MLOps
CI/CD
Python
Bash
Docker
Snowflake
AWS
Jenkins
Bitbucket
Machine Learning
GenAI
Data Engineering
Automation
Monitoring
Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
GenAI
Machine Learning
CI/CD
Jenkins
Bitbucket
Snowflake
AWS
Python
Bash
Docker
RAG
Data Engineering
Automation
Monitoring
Logging
Financial Services
Fintech
API
Streamlit
React
SSO
OAuth
Tableau
Platform Engineering
AIOps
Production Deployment
Software Engineering
Data Science

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