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Added 26 days ago
AI
Backend Software Engineer (Rust)
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for a Backend Software Engineer with strong Rust expertise to build secure, scalable, and high-performance services for our Next-Gen Human Identity (NHI) Platform.
Added 27 days ago
CI
DevOps Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
- 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 27 days ago
C
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
UR
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 1 month ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
Senior Software Engineer, Customer Engineering
NetBrain
Toronto, ON
Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud…
Added 1 month ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
…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…
Added 1 month ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Exposure to cloud platforms (Azure, AWS, or GCP)
Added 1 month ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
…high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to…
Added 2 months ago
L
Senior AI Platform Engineer
Luxoft
Toronto, ON
- Contract
Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable…
Added 2 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to…
Added 2 months ago
RS
Security Engineer
R Systems
Mississauga, ON
- Contract
As a Security Engineer at R Systems, you will play a key role in implementing, managing, and optimizing enterprise security technologies and controls. You will work closely with security…
Added 2 months ago
W
Engineering Manager
Wattpad
Toronto, ON
- Full-time
…has democratized storytelling for a new generation of diverse Gen Z writers and their fans. Wattpad is part of WEBTOON Entertainment’s IP & Creator Ecosystem, where approximately 155…
Added 2 months ago
H
Ingénieur(e) Full Stack Senior, HTS Assist// Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
- Full-time
- Remote
…ainsi qu'une expérience en infrastructure infonuagique (GCP ou…
Added 2 months ago
H
Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front…
Added 2 months ago
G
Machine Learning Engineer
GPTZero
Toronto, ON
- $120,000 to $160,000 CAD / year
- Full-time
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research,…
Added 2 months ago
E
Sr. Data Engineer Manager
eBay
Toronto, ON
- Full-time
…consumer-to-consumer fashion marketplace with a highly engaged Gen Z and Millennial customer base, eBay is expanding its portfolio of complementary C2C businesses while preserving the…

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
Apply by: Oct 27, 2026
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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