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