Python Developer

Job Title: Python Developer

Location: Pune

Job Type: Full-time

Experience: 4+ years for Developer

About The Role

We are looking for a Mid-Senior Python Developer with 4+ years of experience who is passionate about backend development, performance optimization, and scalable architecture. You’ll be working on mission-critical applications using modern frameworks and tools. This role requires hands-on experience with Python 2 & 3, Django, Flask, and FastAPI, and strong knowledge of relational and non-relational databases.

Working knowledge of cloud platforms (AWS/Azure), deployment tools (Docker) is highly desirable. If you have exposure to Machine Learning or Data Management, it’s a strong plus.

Responsibilities

• Build and maintain scalable backend applications using Python
• Develop and consume RESTful APIs using FastAPI, Flask, or Django
• Integrate relational and NoSQL databases like MySQL, SQL, and MongoDB
• Manage deployments using Docker, Nginx, and Apache
• Write unit and functional tests using unittest2, nose, or doctest
• Work on cloud storage and compute services like Amazon S3, AWS Lambda
• Collaborate with cross-functional teams using tools like Jira, Slack, and Trello
• Optimize applications for performance and maintainability
• (Optional) Support or integrate ML models if experience exists
  
  

Requirements

Programming

• Proficient in Python
• Strong grasp of Python Collections, functional programming, and clean code practices
  
  

Frameworks

• Expertise in Django, Flask, FastAPI
  
  

️ Databases

• Strong SQL skills with MySQL, SQL
  
  

Web Servers & Platforms

• Experience with Apache and Nginx
• Comfortable with Ubuntu and Sun OS Linux distributions
  
  

Deployment & Cloud

• Hands-on with Docker for containerization
• Familiarity with AWS, Azure, Amazon S3, and Lambda
  
  

Other Tools & Tech

• Familiarity with Agile project tools: Jira, Trello
• Strong communication
  
  

Testing

• Experience with unittest2, nose, doctest
  
  

Nice-to-Have

• Exposure to Machine Learning frameworks
• Knowledge of deploying and monitoring ML models in production