MediNex Workforce · India
Skills: Python, SQL, Docker
Job Title: PYTHON DEVELOPER INTERN (PYTHON, FLASK, APIS)
Company: Medinex Workforce
Location: India
Workplace Type: Remote
Employment Type: Full-time internship
Duration: 1 to 3 months
Stipend: Up to INR 14,000 per month
Role at a glance
Behind clean digital interfaces sits the backend engine that processes requests, transforms data, and keeps services running smoothly. When endpoints fail, payloads are malformed, or background routines stall, the entire user experience breaks down. This internship places you on the backend engineering team at Medinex Workforce. You will build RESTful microservices using Python and Flask, connect web applications to databases, write automated background scripts, and structure API integrations, learning how production software teams design, test, and deploy scalable Python services.
What you will work on
⚬ Develop, debug, and maintain RESTful API endpoints using Python and Flask
⚬ Implement data parsing, validation, and serialization logic using libraries like Marshmallow or Pydantic
⚬ Design and manage relational database schemas and write optimized queries using SQLAlchemy or raw SQL
⚬ Integrate third-party webhooks, external REST APIs, and automated background data pipelines
⚬ Implement authentication mechanisms, route guards, and structured HTTP error-handling routines
⚬ Write unit tests using pytest or unittest to validate endpoint behavior and edge cases
⚬ Use Git and GitHub for version control, branching workflows, and pull request reviews
⚬ Share progress in a short daily check-in and attend weekly technical sprint reviews
What we expect from you
⚬ Strong foundational grasp of core Python (OOP concepts, decorators, data structures, list comprehensions, exception handling)
⚬ Hands-on familiarity with the Flask microframework and routing mechanics
⚬ Understanding of client-server architecture, HTTP methods (GET, POST, PUT, DELETE), headers, and JSON structures
⚬ Basic knowledge of working with databases such as PostgreSQL, MySQL, or SQLite
⚬ Logical…
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