Toronto On Devop engineer Jobs – 312 Openings This Week

Azure AI Engineer (AI-First Solutions)
Duka Intelligence Inc. —Mississauga, ON
- From $110,000 a year
- Full-time
- Azure
- DevOps
- SQL
- Dental care
Quick apply
3d
Associate, DevOps Engineer
BMO Financial Group —Toronto, ON
- $90,000–$120,000 a year
- Azure
- Computer Science
- DevOps
- Tuition reimbursement
- Life insurance
DevOps Engineer
Capgemini Sogeti —Mississauga, ON
- $80,000–$90,000 a year
- On call
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
8d
Senior Cloud Engineer
BMO Financial Group —Ontario
- $75,900–$141,900 a year
- Full-time
- Remote
- DevOps
- AWS
- Analysis skills
- Tuition reimbursement
- Life insurance
Manager, Site Reliability Engineering and DevOps
Moneris Solutions —Toronto, ON
- $142,000–$186,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Profit sharing
- Paid time off
Software Engineer, CMS (Registry Support)
AutoTrader.ca —Toronto, ON
- $100,000–$150,000 a year
- On call
- DevOps
- SQL
- AWS
- Employee assistance program
Openshift Platform Engineer
Insight Global —Toronto, ON
- $70–$105 an hour
- Contract
- Hybrid work
- DevOps
- Linux
- In-person
Quick apply
8d
Senior Cloud Engineer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- DevOps
- AWS
- Tuition reimbursement
- Life insurance
AWS Managed Services Lead (Devops +Incident Management)
Prism Cloud Consulting Inc —Greater Toronto Area, ON
- $40–$70 an hour
- Temporary
- Hybrid work
- DevOps
- AWS
Quick apply
Senior Lead DevOps Engineer
BMO Financial Group —Toronto, ON
- $94,600–$176,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Tuition reimbursement
- Life insurance
Observability Engineer
Accommodations Plus International —Markham, ON
- $90,000–$110,000 a year
- Weekends as needed
- Computer science
- Computer Science
- CAD
- Paid time off
- Employee assistance program
Quick apply
Senior AWS Cloud Developer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Computer Science
- DevOps
- Java
- Tuition reimbursement
- Life insurance
Software Engineer, CMS (Registry Support)
autoTRADER.ca —Toronto, ON
- $100,000–$150,000 a year
- On call
- DevOps
- SQL
- AWS
- Employee assistance program
Staff AI Platform Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
5d
Site Reliability Engineer
Procom —Toronto, ON
- $75–$100 an hour
- Immediate opening
- Hybrid work
- Azure
- DevOps
- Computer networking
Quick apply
9h
DevOps Engineer/Site Reliability Engineer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Tuition reimbursement
- Life insurance
14d
Lead Cloud Engineer - Mississauga
Randstad —Mississauga, ON
- $67.99–$81.59 an hour
- Temporary
- Azure
- Computer Science
- DevOps
Quick apply
12h
AWS DevOps Engineer – Groovy, Terraform, AWS infrastructure, Python scripts, Vulnerability & Securit
APPTOZA INC. —Toronto, ON
- $60–$65 an hour
- On call
- Hybrid work
- DevOps
- AWS
- Linux
Quick apply
8d
Senior Platform Engineer - Full time
CorGTA —Toronto, ON
- Up to $140,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Computer networking
1d
Application Security SME – DevSecOps, OWASP, API Security, Checkmarx, Fortify
APPTOZA INC. —Toronto, ON
- $75–$80 an hour
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply

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devop engineer jobs near toronto on

Azure AI Engineer (AI-First Solutions)

Duka Intelligence Inc.
Mississauga, ON

Quick apply

Job details

Permanent | Full-time
From $110,000 a year
3 days ago

Qualifications

Azure
DevOps
Financial reporting
Enterprise architecture
SQL
Analysis skills
Machine learning
SharePoint
GitHub
APIs
Metadata
SaaS
AI
Python

Full job description

Duka Intelligence Inc. is currently seeking a Azure AI Engineer (AI‑First Solutions)

Company Overview

Duka Intelligence Inc. (“Company”) is a growing digital advertising and technology company focused on connecting local businesses with residential condominium communities through innovative in-building digital advertising platforms.

Our mission is to help businesses increase local visibility while delivering modern communication and advertising solutions within condominium environments. Through strategic partnerships, technology-driven platforms, and community-focused marketing initiatives, we aim to create meaningful connections between businesses and residents across the Greater Toronto Area.

Position Summary

The Azure AI Engineer is responsible for designing, developing, and implementing AI‑First solutions using Microsoft ecosystem and Azure cloud platform. This includes multi‑agent workflows, retrieval‑augmented generation (RAG) pipelines, AI copilots, and intelligent automation supporting Property Management operations.

This role requires strong Azure AI engineering capabilities combined with solid Azure AI Data foundations to support early proof‑of‑concept (POC) development. The engineer will work under the architectural direction of the Principal Solutions Architect and contribute to establishing the initial AI platform, patterns, and data structures.

Key Responsibilities

AI‑First Solution Development

· Develop AI‑First solutions using Azure AI Foundry, Azure OpenAI, Semantic Kernel, and Azure Functions.

· Implement multi‑agent workflows, RAG pipelines, AI copilots, and intelligent automation.

· Build domain‑specific AI capabilities for maintenance, finance, compliance, and tenant services.

· Integrate AI solutions with Microsoft ecosystem components (Dynamics 365, Power Automate, SharePoint, Teams) and other enterprise and external software products.

Azure AI Data Foundations

· Build and maintain early-stage data ingestion pipelines using Azure Data Factory, Synapse, or Fabric Dataflows.

· Prepare structured and unstructured data for AI workloads (chunking, metadata, embeddings, normalization).

· Create and manage Azure AI Search indexes and vector stores.

· Implement initial data governance practices (Purview, lineage, metadata standards).

Collaboration & Architecture Alignment

· Work closely with the Principal Solutions Architect to ensure all solutions align with enterprise architecture, security, and compliance requirements.

· Participate in design reviews, solution planning, and architectural discussions.

· Provide engineering feedback to support refinement of AI‑First patterns and platform components.

Deployment & Operationalization

· Deploy AI workloads using Azure ML, Azure DevOps, and GitHub Actions.

· Implement monitoring, evaluation, and performance tracking for AI systems.

· Establish early CI/CD patterns for AI solution delivery.

Required Qualifications

Education & Experience

· 3–5 years of experience in AI engineering, applied machine learning, or cloud engineering.

· Experience delivering AI solutions within the Microsoft Azure ecosystem.

Technical Skills

· Proficiency with:

-Azure AI Foundry

-Azure OpenAI (GPT‑4o, GPT‑4.1, o‑series models)

-Azure AI Search (vector and hybrid search)

-Azure Functions, Container Apps, App Services

-Azure ML (pipelines, registries, monitoring)

-Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Data Foundations

· Experience with Azure Data Factory, Synapse, or Fabric.

· Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.

· Strong SQL skills and understanding of schema design.

· Familiarity with data governance tools (Purview).

Soft Skills

· Strong analytical and problem‑solving abilities.

· Ability to work independently as the first AI engineering resource.

· Effective communication with technical and non‑technical stakeholders.

· High level of ownership and accountability.

Preferred Qualifications

Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI‑102, DP‑100, AZ‑204, AZ‑900).

Success Indicators

Delivery of end‑to‑end POCs using both AI engineering and data foundations.
Establishment of scalable data patterns for future AI roles.
Implementation of AI‑First solutions that improve operational efficiency.
Consistent alignment with architectural direction and enterprise standards.

Application Process:

Applicants are invited to submit a résumé and cover letter outlining how their skills, experience, and qualifications align with the requirements of the position.

Compensation for this position is determined based on skills, experience, and qualifications and falls within the posted range.

This posting represents a current vacancy. Interviews may begin as early as suitable candidates are identified.

Our organization is committed to fostering an inclusive and diverse workplace and encourages applications from all qualified individuals. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available throughout the recruitment and selection process. Applicants requiring accommodation may contact Human Resources at any stage of the process.

Please note that elements of the recruitment process may involve the use of automated or artificial intelligence–based tools to support candidate screening or evaluation. All hiring decisions are subject to review by qualified personnel.

Applicants who are interviewed will be notified of the outcome of the recruitment process within a reasonable timeframe following the final interview, in accordance with the Employment Standards Act, 2000.

Interviews will begin as early as suitable candidates are identified. We thank all applicants in advance for their interest; however, only those invited to an interview will be contacted.

Pay: From $110,000.00 per year

Benefits:

Dental care
On-site parking

Application question(s):

How many years of experience in AI engineering, applied machine learning, or cloud engineering do you have?
Do you have experience delivering AI solutions within the Microsoft Azure ecosystem?
Do you have proficiency with:

o Azure AI Foundry
o Azure OpenAI (GPT 4o, GPT 4.1, o series models)
o Azure AI Search (vector and hybrid search)
o Azure Functions, Container Apps, App Services
o Azure ML (pipelines, registries, monitoring)
o Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Do you have experience with Azure Data Factory, Synapse, or Fabric.
Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.
Strong SQL skills and understanding of schema design.
Familiarity with data governance tools (Purview).

Do you have:
Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI 102, DP 100, AZ 204, AZ 900).

Work Location: In person

Quick apply

Refine Your Search

devop engineer jobs in toronto on

Azure AI Engineer (AI-First Solutions)

Associate, DevOps Engineer

DevOps Engineer

Senior Cloud Engineer

Manager, Site Reliability Engineering and DevOps

Software Engineer, CMS (Registry Support)

Openshift Platform Engineer

Senior Cloud Engineer

AWS Managed Services Lead (Devops +Incident Management)

Senior Lead DevOps Engineer

Observability Engineer

Senior AWS Cloud Developer

Software Engineer, CMS (Registry Support)

Staff AI Platform Engineer

Site Reliability Engineer

DevOps Engineer/Site Reliability Engineer

Lead Cloud Engineer - Mississauga

AWS DevOps Engineer – Groovy, Terraform, AWS infrastructure, Python scripts, Vulnerability & Securit

Senior Platform Engineer - Full time

Application Security SME – DevSecOps, OWASP, API Security, Checkmarx, Fortify

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