Companies in the United States using Amazon S3
941 companies headquartered in the United States list Amazon S3 as a requirement in 2,642 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and data science teams. Amazon S3 most often appears next to Python, AWS, CI/CD, SQL and JavaScript. Roles that need it and state the pay sit at $160k a year in the middle.
Companies with the most open Amazon S3 roles
25 of 941 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 51-200 | 202 | DevOps and infrastructure, Data science | — | |
| 5000+ | 46 | AI and machine learning, DevOps and infrastructure, Data science | $130k | |
| 51-200 | 39 | Data science, Industrial engineering | $101k | |
| 5000+ | 33 | Backend engineering, Data science, Analytics | $157k | |
| 5000+ | 30 | Backend engineering, Data science, AI and machine learning | — | |
| 5000+ | 30 | Backend engineering, DevOps and infrastructure, Data science | $151k | |
| 1001-5000 | 28 | Backend engineering, Data science, Industrial engineering | — | |
| 1001-5000 | 24 | Backend engineering, Data science, AI and machine learning | — | |
| 22 | Data science, Analytics, Industrial engineering | — | ||
| 5000+ | 20 | DevOps and infrastructure, Data science, Backend engineering | $152k | |
| 5000+ | 19 | DevOps and infrastructure, Backend engineering, AI and machine learning | $226k | |
| 501-1000 | 19 | Backend engineering, Solutions engineering, DevOps and infrastructure | $193k | |
| 5000+ | 18 | DevOps and infrastructure, Analytics, Data science | — | |
| 5000+ | 18 | Analytics, DevOps and infrastructure, Backend engineering | $177k | |
| 1001-5000 | 17 | DevOps and infrastructure, Security, Backend engineering | $146k | |
| 5000+ | 16 | Backend engineering | $205k | |
| 5000+ | 15 | DevOps and infrastructure, Data science, Solutions engineering | — | |
| 501-1000 | 15 | Backend engineering, Data science, Customer success | $148k | |
| 5000+ | 15 | Data science, Solutions engineering, AI and machine learning | $194k | |
| 1001-5000 | 15 | Backend engineering, Data science, AI and machine learning | $145k | |
| 201-500 | 14 | Sales, Data science, Engineering leadership | $250k | |
| 201-500 | 14 | Backend engineering, DevOps and infrastructure, Data science | $233k | |
| 1001-5000 | 13 | Backend engineering, Data science, DevOps and infrastructure | $166k | |
| 5000+ | 13 | Backend engineering, Engineering leadership, AI and machine learning | $225k | |
| 5000+ | 12 | Industrial engineering, Backend engineering, DevOps and infrastructure | — |
Amazon S3 in other countries
What these companies also use
Teams hiring for Amazon S3
Get all 941 companies as a list
Name, website, size, industry and headquarters of every company that requires Amazon S3, through the API (company.getList with technology=Amazon S3 and country=US). 941 companies × 0.02 credits = 18.82 credits ($1.88).
Questions
How do you know a company uses Amazon S3?
A company counts when at least one of its open job postings lists Amazon S3 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 S3 itself are left out.
Which teams hire for Amazon S3?
Of the 2,642 open roles that require it, most are in backend engineering (718), DevOps and infrastructure (695) and data science (459).
What do Amazon S3 roles pay?
1,035 of the 2,642 roles state the pay. The middle of their posted ranges is $160k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Amazon S3 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.
