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Fastapi Python Jobs in North Carolina (NOW HIRING)

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Develop web applications using Python frameworks such as Django, Flask, or FastAPI. * Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis ...

HCLTech - Digital Business is seeking a Python Backend Engineer to build the backbone of their ... Responsibilities : • Design, build, and maintain robust, high-throughput APIs (FastAPI, Django ...

Python Developer

Charlotte, NC · On-site

$65.05/hr

The candidate shall demonstrate strong experience in Python development using frameworks such as Django, Flask, or FastAPI, and an ability to design, build, and maintain reliable RESTful services and ...

Python developer

Charlotte, NC · On-site

$49 - $67.75/hr

Strong proficiency in Python with frameworks like Flask, FastAPI, or Django.. * Familiarity with microservices architecture, containerization (Docker/Kubernetes). * Experience with databases such as ...

Develop RESTful APIs and backend services using Python frameworks such as FastAPI, Flask, or Django. * Design and implement cloud-native solutions using AWS services. * Develop scalable and secure ...

Lead Python Developer

Charlotte, NC · On-site

$136K - $168K/yr

Strong proficiency in Python with frameworks like Flask, FastAPI, or Django .. * Familiarity with microservices architecture, containerization (Docker/Kubernetes). * Experience with databases such as ...

Build REST APIs and AI microservices using Python and FastAPI. * Develop and maintain ML pipelines for model training, deployment, monitoring, and lifecycle management. * Implement AI observability ...

Build REST APIs and AI microservices using Python and FastAPI. * Develop and maintain ML pipelines for model training, deployment, monitoring, and lifecycle management. * Implement AI observability ...

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Fastapi Python information

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 cities in North Carolina are hiring for Fastapi Python jobs? Cities in North Carolina with the most Fastapi Python job openings:
Infographic showing various Fastapi Python job openings in North Carolina 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.

Python Developer

Snowrelic Inc

Charlotte, NC • On-site

$49 - $67.75/hr

Contractor

Re-posted 15 days ago


Job description

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design, development, and deployment of scalable backend solutions. The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB. 

Location: Charlotte, North Carolina/ Irving, TX 

Client Interview will be In person (mandatory ) 

Responsibilities: 

  • Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. 

  • Design and implement algorithms, data structures, and solutions to optimize application performance. 

  • Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. 

  • Develop web applications using Python frameworks such as Django, Flask, or FastAPI. 

  • Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). 

  • Collaborate with cross-functional teams on system design, architecture, and best practices in development. 

  • Implement CI/CD pipelines using Jenkins, GitLab CI, or Circle CI for automated testing and deployment. 

  • Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. 

  • Engage in troubleshooting, code reviews, and ensuring compliance with banking security standards. 

  • Work with legacy banking systems, migration projects, and modernization efforts. 

Requirements: 

  • Bachelor’s degree in Computer Science, Software Engineering, or related field. 

  • 10+ years of professional experience in Python development, with substantial banking domain exposure. 

  • Strong mastery of Python syntax, data structures, object-oriented programming, and design patterns. 

  • Extensive experience with Python web frameworks such as Django, Flask, or FastAPI. 

  • Proven experience designing and integrating RESTful APIs. 

  • Hands-on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. 

  • Familiarity with cloud deployment (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. 

  • Solid understanding of CI/CD practices and tools. 

  • Excellent problem-solving skills, attention to detail, and ability to work under deadlines. 

  • Preferred: Experience working within banking or financial institutions. 

Preferred, but not required: 

  • Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. 

  • Experience with legacy banking systems and modernization projects. 

  • Strong communication skills and team collaboration experience. 

  • Agile/Scrum development experience.