Companies in India using Azure
116 companies headquartered in India list Azure as a requirement in 795 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and data science teams. Azure most often appears next to Python, CI/CD, AWS, SQL and JavaScript. Roles that need it and state the pay sit at $43k a year in the middle.
Companies with the most open Azure roles
25 of 116 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 153 | Backend engineering, DevOps and infrastructure, Data science | — | |
| 5000+ | 112 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 1001-5000 | 51 | Backend engineering, DevOps and infrastructure, Data science | — | |
| 1001-5000 | 38 | DevOps and infrastructure, Enterprise applications, AI and machine learning | — | |
| 201-500 | 27 | Solutions engineering, DevOps and infrastructure, Data science | $47k | |
| 1001-5000 | 26 | Backend engineering, DevOps and infrastructure, AI and machine learning | — | |
| 201-500 | 23 | DevOps and infrastructure, Data science, AI and machine learning | — | |
| 21 | DevOps and infrastructure, Enterprise applications, Solutions engineering | — | ||
| 17 | Backend engineering, AI and machine learning, Data science | — | ||
| EEkfrazo Technologies | 1001-5000 | 15 | Data science, Solutions engineering, Backend engineering | — |
| 15 | Backend engineering, Data science, AI and machine learning | $47k | ||
| 1001-5000 | 14 | Backend engineering, Solutions engineering, AI and machine learning | — | |
| 201-500 | 14 | Backend engineering, Solutions engineering, Enterprise applications | — | |
| 12 | Data science, Backend engineering, QA and testing | — | ||
| 12 | Backend engineering, AI and machine learning, Analytics | — | ||
| 11 | Engineering leadership, Data science, Backend engineering | — | ||
| 201-500 | 11 | Backend engineering, DevOps and infrastructure, Security | — | |
| 201-500 | 9 | Backend engineering, Sales, Solutions engineering | — | |
| 51-200 | 9 | Solutions engineering, DevOps and infrastructure, Sales | — | |
| 8 | Backend engineering, Data science, AI and machine learning | — | ||
| 201-500 | 8 | Backend engineering, AI and machine learning, Data science | — | |
| 501-1000 | 7 | Backend engineering, DevOps and infrastructure, Enterprise applications | — | |
| 501-1000 | 7 | AI and machine learning, DevOps and infrastructure, Data science | — | |
| 51-200 | 7 | Solutions engineering, Backend engineering, Frontend engineering | — | |
| 7 | Data science, Backend engineering, Solutions engineering | — |
Azure in other countries
What these companies also use
Teams hiring for Azure
Get all 116 companies as a list
Name, website, size, industry and headquarters of every company that requires Azure, through the API (company.getList with technology=Azure and country=IN). 116 companies × 0.02 credits = 2.32 credits ($0.23).
Questions
How do you know a company uses Azure?
A company counts when at least one of its open job postings lists Azure 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 Azure itself are left out.
Which teams hire for Azure?
Of the 795 open roles that require it, most are in backend engineering (192), DevOps and infrastructure (150) and data science (104).
What do Azure roles pay?
35 of the 795 roles state the pay. The middle of their posted ranges is $43k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Azure 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.
