Companies in the United States using Amazon EC2
540 companies headquartered in the United States list Amazon EC2 as a requirement in 1,166 open roles. Most of those roles are in DevOps and infrastructure, backend engineering and data science teams. Amazon EC2 most often appears next to AWS, Python, CI/CD, Amazon S3 and Kubernetes. Roles that need it and state the pay sit at $152k a year in the middle.
Companies with the most open Amazon EC2 roles
25 of 540 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 47 | DevOps and infrastructure, AI and machine learning, Data science | $134k | |
| 5000+ | 16 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 1001-5000 | 16 | DevOps and infrastructure, Backend engineering, Solutions engineering | $176k | |
| 5000+ | 15 | DevOps and infrastructure, Backend engineering, AI and machine learning | $119k | |
| 5000+ | 13 | Backend engineering, DevOps and infrastructure, Data science | $142k | |
| 5000+ | 13 | DevOps and infrastructure, Backend engineering | $151k | |
| 1001-5000 | 13 | Backend engineering, AI and machine learning, Management | — | |
| 1001-5000 | 13 | Technical support, Backend engineering, Data science | — | |
| 1001-5000 | 13 | Data science, Solutions engineering, Analytics | $143k | |
| 501-1000 | 12 | Industrial engineering, DevOps and infrastructure, Solutions engineering | — | |
| 5000+ | 12 | DevOps and infrastructure, Backend engineering, Industrial engineering | $153k | |
| 1001-5000 | 10 | Backend engineering, DevOps and infrastructure, Data science | — | |
| 5000+ | 10 | DevOps and infrastructure, Data science, Backend engineering | $170k | |
| 1001-5000 | 9 | Backend engineering, Data science, AI and machine learning | $166k | |
| 501-1000 | 9 | Data science, Finance, AI and machine learning | $225k | |
| 1001-5000 | 9 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 5000+ | 9 | Solutions engineering, DevOps and infrastructure, Analytics | $150k | |
| 1001-5000 | 9 | Backend engineering, Data science, Engineering leadership | — | |
| 201-500 | 9 | DevOps and infrastructure, Data science, Backend engineering | — | |
| 1001-5000 | 8 | Solutions engineering | — | |
| 5000+ | 8 | Backend engineering, DevOps and infrastructure, Industrial engineering | — | |
| 8 | DevOps and infrastructure | $130k | ||
| 5000+ | 7 | DevOps and infrastructure, Data science, Enterprise applications | — | |
| 1001-5000 | 7 | QA and testing, Backend engineering | — | |
| 51-200 | 7 | AI and machine learning, Backend engineering, Security | — |
Amazon EC2 in other countries
What these companies also use
Teams hiring for Amazon EC2
Get all 540 companies as a list
Name, website, size, industry and headquarters of every company that requires Amazon EC2, through the API (company.getList with technology=Amazon EC2 and country=US). 540 companies × 0.02 credits = 10.8 credits ($1.08).
Questions
How do you know a company uses Amazon EC2?
A company counts when at least one of its open job postings lists Amazon EC2 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 Amazon EC2 itself are left out.
Which teams hire for Amazon EC2?
Of the 1,166 open roles that require it, most are in DevOps and infrastructure (445), backend engineering (317) and data science (89).
What do Amazon EC2 roles pay?
481 of the 1,166 roles state the pay. The middle of their posted ranges is $152k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Amazon EC2 and country=US 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.
