Companies in Canada using AWS
245 companies headquartered in Canada list AWS as a requirement in 1,153 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and AI and machine learning teams. AWS most often appears next to Python, CI/CD, JavaScript, SQL and Kubernetes. Roles that need it and state the pay sit at $103k a year in the middle.
Companies with the most open AWS roles
25 of 245 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 84 | Backend engineering, AI and machine learning, DevOps and infrastructure | $175k | |
| 5000+ | 62 | DevOps and infrastructure, Data science, AI and machine learning | $95k | |
| 5000+ | 43 | DevOps and infrastructure, Backend engineering, Technical support | $95k | |
| 1001-5000 | 29 | AI and machine learning, Backend engineering, QA and testing | $205k | |
| 501-1000 | 28 | Marketing, DevOps and infrastructure, Sales | — | |
| 11-50 | 26 | Security, AI and machine learning, Data science | — | |
| 1001-5000 | 26 | Backend engineering, DevOps and infrastructure, AI and machine learning | — | |
| 1001-5000 | 23 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 501-1000 | 18 | Backend engineering, DevOps and infrastructure, Security | $81k | |
| 5000+ | 17 | Backend engineering, DevOps and infrastructure, Networking | $118k | |
| 5000+ | 16 | Backend engineering, DevOps and infrastructure, AI and machine learning | — | |
| 1001-5000 | 16 | Backend engineering, DevOps and infrastructure, Data science | $129k | |
| IIntact | 501-1000 | 16 | Backend engineering, AI and machine learning, Security | — |
| 1001-5000 | 15 | AI and machine learning, Data science, DevOps and infrastructure | — | |
| 1001-5000 | 14 | Backend engineering, Solutions engineering, DevOps and infrastructure | — | |
| 14 | Solutions engineering, AI and machine learning, DevOps and infrastructure | $168k | ||
| 14 | AI and machine learning, DevOps and infrastructure, Analytics | $84k | ||
| 51-200 | 14 | Backend engineering, AI and machine learning, Hardware engineering | $238k | |
| 1001-5000 | 13 | Solutions engineering, Backend engineering, Management | — | |
| 1001-5000 | 13 | Security, Backend engineering, DevOps and infrastructure | $91k | |
| 201-500 | 13 | DevOps and infrastructure, AI and machine learning, Backend engineering | — | |
| 1001-5000 | 13 | Analytics, DevOps and infrastructure, Enterprise applications | — | |
| 1001-5000 | 12 | AI and machine learning, DevOps and infrastructure, Data science | $175k | |
| 5000+ | 12 | Data science, Solutions engineering, Industrial engineering | — | |
| 201-500 | 12 | Enterprise applications, Backend engineering, Product management | — |
AWS in other countries
What these companies also use
Teams hiring for AWS
Get all 245 companies as a list
Name, website, size, industry and headquarters of every company that requires AWS, through the API (company.getList with technology=AWS and country=CA). 245 companies × 0.02 credits = 4.9 credits ($0.49).
Questions
How do you know a company uses AWS?
A company counts when at least one of its open job postings lists AWS 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 AWS itself are left out.
Which teams hire for AWS?
Of the 1,153 open roles that require it, most are in backend engineering (293), DevOps and infrastructure (187) and AI and machine learning (137).
What do AWS roles pay?
368 of the 1,153 roles state the pay. The middle of their posted ranges is $103k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=AWS 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.
