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Fastapi Python Jobs in Charlotte, NC (NOW HIRING)

... Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent. • Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen). • Practical experience with LLM tool ...

Python 3.12, FastAPI, Pydantic v2, SQLAlchemy 2 with Alembic, async psycopg/asyncpg, LangChain and LangGraph, Azure OpenAI via langchain-openai, NeMo Guardrails, ONNX Runtime embeddings via FastEmbed ...

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes * Good understanding of ETL/ELT processes

Showing results 21-40

Fastapi Python information

See Charlotte, NC salary details

$12

$57

$84

How much do fastapi python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for fastapi python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What job categories do people searching Fastapi Python jobs in Charlotte, NC look for? The top searched job categories for Fastapi Python jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Fastapi Python jobs? Cities near Charlotte, NC with the most Fastapi Python job openings:
Infographic showing various Fastapi Python job openings in Charlotte, NC as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $119,093 per year, or $57.3 per hour.

Cloud Solution Architect

ScrumLink, Inc.

Charlotte, NC • On-site

$62 - $85/hr

Other

Posted 14 days ago


Job description

Cloud Solution Architect

Location: Charlotte, NC

Duration : 12+ Months 

Coupa REQ: Yet to create

Job Description:

· Experience: 7+ years in software engineering, with 3+ years in architecture or project management.

· Tech Stack: Deep expertise in cloud platforms (AWS/Azure/Google Cloud Platform) and modern system design. Experience with DevOps, CI/CD, containerization and IaaC is preferred. Hands on full stack development is desirable.

· Methodologies: Mastery of Agile/Scrum and project management tools (Jira/Confluence).

· Skills: Strong communication skills to manage both developers and business executives.

· Core: Cloud Solution Architect. Deep expertise in cloud platforms (AWS/Azure/Google Cloud Platform). Experience with DevOps, CI/CD, containerization and IaaC.

· Preferable FSD tech stack: 

· Frontend: React 

· Backend: Python (Django or FastAPI)

· Database: PostgreSQL or DynamoDB (NoSQL).

Detailed JD:

Core: Cloud Solution Architect. Deep expertise in cloud platforms (AWS/Azure/Google Cloud Platform). Experience with DevOps, CI/CD, containerization and IaaC.

Preferable FSD tech stack: 

Frontend: React 

Backend: Python (Django or FastAPI)

Database: PostgreSQL or DynamoDB (NoSQL).