Companies in Canada using Azure
217 companies headquartered in Canada list Azure as a requirement in 1,024 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and AI and machine learning teams. Azure most often appears next to Python, CI/CD, AWS, SQL and JavaScript. Roles that need it and state the pay sit at $100k a year in the middle.
Companies with the most open Azure roles
25 of 217 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 68 | DevOps and infrastructure, Backend engineering, Engineering leadership | — | |
| 1001-5000 | 61 | Backend engineering, Data science, DevOps and infrastructure | $57k | |
| 1001-5000 | 54 | Data science, AI and machine learning, Backend engineering | $129k | |
| 5000+ | 38 | DevOps and infrastructure, Data science, Engineering leadership | $95k | |
| 1001-5000 | 37 | Backend engineering, Security, DevOps and infrastructure | — | |
| 5000+ | 36 | AI and machine learning, Backend engineering, Security | $169k | |
| 5000+ | 33 | DevOps and infrastructure, Backend engineering, Technical support | $86k | |
| 1001-5000 | 30 | AI and machine learning, Backend engineering, QA and testing | $205k | |
| 1001-5000 | 25 | AI and machine learning, Backend engineering, DevOps and infrastructure | — | |
| 5000+ | 24 | Backend engineering, DevOps and infrastructure, Data science | $53k | |
| 5000+ | 22 | Data science, Backend engineering, Enterprise applications | — | |
| 501-1000 | 21 | Solutions engineering, Sales, Security | $100k | |
| 1001-5000 | 19 | Backend engineering, Data science, Analytics | $135k | |
| 1001-5000 | 14 | Solutions engineering, Backend engineering, AI and machine learning | — | |
| 51-200 | 13 | AI and machine learning, DevOps and infrastructure, Engineering leadership | $123k | |
| 501-1000 | 13 | Product management, Enterprise applications, Management | — | |
| 1001-5000 | 13 | AI and machine learning, Backend engineering, Technical support | — | |
| 12 | Solutions engineering, AI and machine learning, DevOps and infrastructure | $168k | ||
| 501-1000 | 12 | AI and machine learning, DevOps and infrastructure, Backend engineering | — | |
| 1001-5000 | 12 | Data science, Analytics, DevOps and infrastructure | $135k | |
| 1001-5000 | 11 | Backend engineering, Security, Analytics | — | |
| 501-1000 | 10 | Backend engineering, DevOps and infrastructure, Sales | — | |
| 201-500 | 10 | DevOps and infrastructure, Backend engineering, AI and machine learning | — | |
| 11-50 | 10 | Security, Networking, Backend engineering | — | |
| 1001-5000 | 9 | Backend engineering, AI and machine learning, Data science | — |
Azure in other countries
What these companies also use
Teams hiring for Azure
Get all 217 companies as a list
Name, website, size, industry and headquarters of every company that requires Azure, through the API (company.getList with technology=Azure and country=CA). 217 companies × 0.02 credits = 4.34 credits ($0.43).
Questions
How do you know a company uses Azure?
A company counts when at least one of its open job postings lists Azure as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Azure itself are left out.
Which teams hire for Azure?
Of the 1,024 open roles that require it, most are in backend engineering (194), DevOps and infrastructure (167) and AI and machine learning (115).
What do Azure roles pay?
274 of the 1,024 roles state the pay. The middle of their posted ranges is $100k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Azure and country=CA returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
