Companies in the United States using FastAPI

508 companies headquartered in the United States list FastAPI as a requirement in 1,029 open roles. Most of those roles are in backend engineering, AI and machine learning and data science teams. FastAPI most often appears next to Python, CI/CD, JavaScript, Docker and AWS. Roles that need it and state the pay sit at $168k a year in the middle.

From the requirements of live job postingsRebuilt 7 Oct 2026
companies hiring
508
open roles need it
1,029
median stated pay
$168k

Companies with the most open FastAPI roles

25 of 508 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Citi5000+46AI and machine learning, Backend engineering, Solutions engineering$142k
Fitch Group1001-500025Backend engineering, AI and machine learning, Enterprise applications$160k
UnitedHealth Group5000+15AI and machine learning, Backend engineering, Analytics$153k
Fractal1001-500014Backend engineering, Data science, DevOps and infrastructure—
Booz Allen Hamilton5000+12Backend engineering, AI and machine learning, QA and testing$142k
Lila Sciences201-50012Backend engineering, AI and machine learning, Engineering leadership$218k
Brillio501-100011AI and machine learning, Backend engineering, QA and testing—
Workday1001-500011Backend engineering, AI and machine learning$220k
Micron Technology5000+10AI and machine learning, Industrial engineering—
Visa5000+9Backend engineering, AI and machine learning, Industrial engineering$184k
Tiger Analytics501-10009AI and machine learning, Backend engineering, Solutions engineering—
Cisco Systems5000+8Backend engineering, AI and machine learning—
Peraton1001-50008Backend engineering, AI and machine learning, DevOps and infrastructure$140k
DXC Technology5000+7AI and machine learning, Backend engineering, Management—
JPMorganChase5000+7Backend engineering, Data science—
Guidehouse1001-50007Backend engineering$123k
Thermo Fisher Scientific1001-50007Backend engineering, AI and machine learning—
Vantor201-5007Backend engineering, Frontend engineering$106k
Morgan Stanley5000+7AI and machine learning, Backend engineering, DevOps and infrastructure$143k
The Infatuation1001-50007Backend engineering, Data science—
EPAM Systems5000+6Backend engineering, AI and machine learning—
Halliburton5000+6Backend engineering, Engineering leadership, AI and machine learning—
Hewlett Packard Enterprise5000+6AI and machine learning, Data science, Backend engineering$235k
Invisible Technologies201-5006Solutions engineering$201k
CACI International5000+6Backend engineering, AI and machine learning, Security$143k

FastAPI in other countries

Teams hiring for FastAPI

Backend engineering531
AI and machine learning292
Data science53
DevOps and infrastructure39
Solutions engineering28
Engineering leadership22
Frontend engineering8
Industrial engineering8

Get all 508 companies as a list

Name, website, size, industry and headquarters of every company that requires FastAPI, through the API (company.getList with technology=FastAPI and country=US). 508 companies × 0.02 credits = 10.16 credits ($1.02).

Questions

How do you know a company uses FastAPI?

A company counts when at least one of its open job postings lists FastAPI 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 FastAPI itself are left out.

Which teams hire for FastAPI?

Of the 1,029 open roles that require it, most are in backend engineering (531), AI and machine learning (292) and data science (53).

What do FastAPI roles pay?

394 of the 1,029 roles state the pay. The middle of their posted ranges is $168k a year, converted to US dollars.

Can I download this list?

Yes, through the API: company.getList with technology=FastAPI 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.

Source: the requirements of 1,029 live job postings on employers' careers boardsUpdated 7 Oct 2026MethodologyJSONCC BY-SA 4.0