Fullstack Engineer strong Python and React - W2
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-06-18
Listing for:
Saransh Inc
Contract
position Listed on 2026-06-18
Job specializations:
-
Software Development
Python, Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
Overview
Role: Fullstack Engineer with strong Python and React experience
Location: Charlotte, NC (Hybrid)
Job Type: Contract (W2)
Skill Matrix- Py Test – Required
- Python – Required
- Restful APIs – Required
- Python (Flask/Django) – Required
- React JS – Required
- Seeking a senior full stack engineer with strong Python and React experience.
- Exposure to cloud platforms and working knowledge of GenAI/LLMs.
- The role involves building, integrating, and testing backend services, front end applications, and AI-enabled APIs.
- 5+ years of hands‑on experience with Python (3.x) and backend frameworks such as Django, Flask, or FastAPI.
- Experience with scripting and automation using Python, Bash, Shell, or Power Shell.
- Strong understanding of RESTful API development and testing (JSON, OpenAPI/Swagger).
- Experience with ORM frameworks (Django ORM, SQL Alchemy).
- Experience writing and maintaining unit tests (PyTest, unittest, nose).
- 5+ years of experience with JavaScript, primarily React.
- Strong fundamentals in HTML, CSS, and modern JavaScript (ES6+).
- Experience integrating front‑end applications with backend microservices and APIs.
- Familiarity with front‑end testing frameworks (Jest, Jasmine, Karma).
- Experience with Docker and Kubernetes/Open Shift.
- Exposure to cloud platforms such as Azure or GCP.
- Strong experience with relational databases (SQL, performance tuning, optimization).
- Working experience with No
SQL databases (MongoDB, Cassandra, DynamoDB).
- Experience with data processing and automation using Python.
- Exposure to ETL pipelines and data platforms (Airflow, Kafka, Talend, Alteryx, etc.).
- Experience in integrating and testing AI/ML or GenAI APIs.
- 3+ years of exposure to Large Language Models (LLMs), including prompt engineering or API‑based consumption.
- Familiarity with ML/data libraries (Pandas, Num Py, Scikit‑learn, Tensor Flow, PyTorch) is a plus.
- Python (Backend & Automation) – strong hands‑on development experience.
- React / JavaScript – solid working knowledge (expert level not mandatory).
- GenAI / LLM – exposure to API usage, prompt engineering, or AI integration experience.
- Test Automation & Performance Testing.
- Cloud & Containerization (Azure/GCP, Docker, Kubernetes).
Years of
Experience:
8 Years of Experience
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