Python Full Stack Developer
Builds and maintains scalable full-stack web applications from Charlotte, NC (hybrid, 3 days onsite), using Python backends (Django/Flask/FastAPI), React/TypeScript frontends, REST APIs, SQL databases, and AWS/Azure/GCP cloud. Docker/Kubernetes and banking-domain exposure are preferred.
- Compensation
- Not disclosed
- Location
- Charlotte, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Strong experience in Python
- Expertise in React.js, JavaScript, TypeScript, HTML5, and CSS3
- Experience with Django, Flask, or FastAPI
- REST API and Microservices development
- SQL databases (PostgreSQL, MySQL, SQL Server)
- Cloud platforms (AWS, Azure, or GCP)
- Git, CI/CD, and DevOps practices
- Agile/Scrum development methodology
Nice to have
- Experience with Docker and Kubernetes
- Exposure to AI/ML or Generative AI integrations
- Knowledge of serverless architectures and cloud-native development
- Experience in Banking or Financial Services domain
Full description
Title: Python Full Stack DeveloperLocation: Charlotte, NC (3 days onsite per week)Required Skills
Strong experience in Python
Expertise in React.js, JavaScript, TypeScript, HTML5, and CSS3
Experience with Django, Flask, or FastAPI
REST API and Microservices development
SQL databases (PostgreSQL, MySQL, SQL Server)
Cloud platforms (AWS, Azure, or GCP)
Git, CI/CD, and DevOps practices
Agile/Scrum development methodology
Responsibilities
Develop and maintain scalable full-stack applications using Python and React.
Design and build RESTful APIs and backend services.
Create responsive and user-friendly front-end interfaces.
Integrate applications with databases, third-party APIs, and cloud services.
Collaborate with product owners, architects, and cross-functional teams.
Optimize application performance, security, and scalability.
Participate in code reviews, testing, and deployment activities.
Troubleshoot and resolve production issues.
Preferred Qualifications
Experience with Docker and Kubernetes.
Exposure to AI/ML or Generative AI integrations.
Knowledge of serverless architectures and cloud-native development.
Experience in Banking or Financial Services domain is a plus.