Companies in Canada using Kubernetes
141 companies headquartered in Canada list Kubernetes as a requirement in 509 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and AI and machine learning teams. Kubernetes most often appears next to Python, CI/CD, Docker, AWS and SQL. Roles that need it and state the pay sit at $117k a year in the middle.
Companies with the most open Kubernetes roles
25 of 141 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 35 | DevOps and infrastructure, Technical support, Backend engineering | $86k | |
| 5000+ | 30 | DevOps and infrastructure, Backend engineering, Web3 | — | |
| 1001-5000 | 29 | Backend engineering, Customer success, DevOps and infrastructure | — | |
| 5000+ | 26 | Backend engineering, AI and machine learning, DevOps and infrastructure | $169k | |
| 1001-5000 | 25 | Backend engineering, AI and machine learning, QA and testing | $205k | |
| 1001-5000 | 23 | Solutions engineering, AI and machine learning, Backend engineering | $212k | |
| 1001-5000 | 14 | AI and machine learning, DevOps and infrastructure, Backend engineering | — | |
| 1001-5000 | 14 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 1001-5000 | 12 | Backend engineering, DevOps and infrastructure, Data science | — | |
| 5000+ | 11 | Backend engineering, AI and machine learning, DevOps and infrastructure | $108k | |
| 1001-5000 | 11 | DevOps and infrastructure, Backend engineering, AI and machine learning | — | |
| 9 | Solutions engineering, DevOps and infrastructure, AI and machine learning | $156k | ||
| 501-1000 | 8 | Backend engineering, DevOps and infrastructure, Security | $83k | |
| 51-200 | 8 | DevOps and infrastructure, AI and machine learning | — | |
| 501-1000 | 7 | Data science, Backend engineering, AI and machine learning | — | |
| 201-500 | 7 | QA and testing, Solutions engineering, Backend engineering | $91k | |
| 51-200 | 7 | Backend engineering, DevOps and infrastructure, Data science | — | |
| 501-1000 | 7 | DevOps and infrastructure, Finance, Backend engineering | — | |
| 1001-5000 | 6 | DevOps and infrastructure, Security | — | |
| 11-50 | 6 | Backend engineering, DevOps and infrastructure, Security | — | |
| 51-200 | 5 | DevOps and infrastructure, AI and machine learning | $123k | |
| 1001-5000 | 5 | AI and machine learning, Backend engineering, DevOps and infrastructure | — | |
| 501-1000 | 5 | AI and machine learning, Backend engineering | — | |
| 1001-5000 | 5 | Backend engineering, Data science, Sales | — | |
| 501-1000 | 4 | DevOps and infrastructure, Backend engineering, Frontend engineering | — |
Kubernetes in other countries
What these companies also use
Teams hiring for Kubernetes
Get all 141 companies as a list
Name, website, size, industry and headquarters of every company that requires Kubernetes, through the API (company.getList with technology=Kubernetes and country=CA). 141 companies × 0.02 credits = 2.82 credits ($0.28).
Questions
How do you know a company uses Kubernetes?
A company counts when at least one of its open job postings lists Kubernetes 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 Kubernetes itself are left out.
Which teams hire for Kubernetes?
Of the 509 open roles that require it, most are in backend engineering (167), DevOps and infrastructure (137) and AI and machine learning (59).
What do Kubernetes roles pay?
123 of the 509 roles state the pay. The middle of their posted ranges is $117k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Kubernetes 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.
