Companies in India using AWS
571 companies headquartered in India list AWS as a requirement in 1,914 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 $31k a year in the middle.
Companies with the most open AWS roles
25 of 571 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 165 | Backend engineering, DevOps and infrastructure, Solutions engineering | — | |
| 5000+ | 128 | Backend engineering, DevOps and infrastructure, AI and machine learning | — | |
| 201-500 | 68 | Data science, DevOps and infrastructure, AI and machine learning | $43k | |
| 33 | Backend engineering, DevOps and infrastructure, Solutions engineering | — | ||
| 201-500 | 32 | Backend engineering, Data science, Engineering leadership | — | |
| 5000+ | 32 | Backend engineering, Data science, DevOps and infrastructure | — | |
| 1001-5000 | 29 | Sales, AI and machine learning, DevOps and infrastructure | — | |
| 1001-5000 | 27 | DevOps and infrastructure, Data science, Enterprise applications | — | |
| 1001-5000 | 19 | Solutions engineering, DevOps and infrastructure, Backend engineering | $108k | |
| EEkfrazo Technologies | 17 | Backend engineering, Solutions engineering, Data science | — | |
| 1001-5000 | 17 | AI and machine learning, Backend engineering, DevOps and infrastructure | — | |
| 51-200 | 16 | AI and machine learning, Backend engineering, Sales | — | |
| 201-500 | 16 | Data science, Backend engineering, DevOps and infrastructure | — | |
| 15 | Engineering leadership, Backend engineering, Data science | — | ||
| 501-1000 | 14 | Engineering leadership, AI and machine learning, Backend engineering | — | |
| 14 | Data science, AI and machine learning, DevOps and infrastructure | — | ||
| 201-500 | 13 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 12 | DevOps and infrastructure, Backend engineering, Mobile engineering | — | ||
| GGloballogic | 10 | AI and machine learning, Backend engineering, DevOps and infrastructure | — | |
| UUST | 10 | AI and machine learning, Data science, Backend engineering | — | |
| 11-50 | 10 | Backend engineering, AI and machine learning, Security | — | |
| 10 | Backend engineering, Data science, DevOps and infrastructure | — | ||
| 9 | Security, Backend engineering | — | ||
| 9 | AI and machine learning, Data science, DevOps and infrastructure | — | ||
| 9 | Data science, AI and machine learning, Backend engineering | — |
AWS in other countries
What these companies also use
Teams hiring for AWS
Get all 571 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=IN). 571 companies × 0.02 credits = 11.42 credits ($1.14).
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 1,914 open roles that require it, most are in backend engineering (580), DevOps and infrastructure (306) and AI and machine learning (249).
What do AWS roles pay?
146 of the 1,914 roles state the pay. The middle of their posted ranges is $31k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=AWS and country=IN 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.
