| Detail | For this role |
|---|---|
| Department | Information Technology |
| Level | Entry level |
| Reports to | Technical Lead |
| Direct reports | None |
| Experience | Fresher or up to 2 years in Python development |
Python Developer job description template
Copy this job description, replace the text in square brackets and post it on your careers page or a job portal.
Job title: Python Developer
Department: Information Technology
Reports to: Technical Lead
Location: [City], [office, branch or site]
About the role
A Python Developer builds applications, backends, scripts and automation in Python, one of the most versatile languages in use. At the entry level they build features and APIs, write scripts and fix bugs under senior guidance. A good junior Python developer writes clean, readable code, uses the right libraries and tests their work. The role sits in an engineering, data or automation team and reports to a technical lead or senior software engineer, delivering assigned work and learning Python's frameworks and wide ecosystem.
Key responsibilities
- Build features, APIs or scripts in Python from clear tasks and acceptance criteria.
- Use libraries and frameworks suited to the task, such as Flask, FastAPI or requests.
- Work with databases and files to read, process and store data correctly.
- Write automation scripts that save the team manual, repetitive effort.
- Write unit tests with pytest for the code you deliver each sprint.
- Fix reported bugs and confirm the fix does not affect other parts.
- Handle errors and edge cases so scripts and services behave predictably.
- Follow clean code and packaging practices so others can reuse your work.
- Raise clean pull requests and act on review feedback quickly.
- Learn Python frameworks, tooling and best practices with senior support.
Requirements
- Graduate in computer science, IT or engineering
- Working knowledge of Python and its standard libraries
- A Python project portfolio is an advantage
- Fresher or up to 2 years in Python development
KRAs and KPIs for a Python Developer
Key result areas for the appraisal form, each with a KPI you can measure every month or quarter.
| Key result area | How to measure it |
|---|---|
| Delivery | Assigned features and scripts delivered within sprint estimates |
| Code quality | Pull requests pass review with limited rework and readable code |
| Defect rate | Bugs from own code kept low, with critical defects near zero |
| Automation value | Automation delivered that measurably cuts manual effort |
| Testing | Unit tests written for delivered work as per the standard |
| Learning | New Python libraries and skills picked up each quarter |
Skills and tools
Tools used day to day: Python, Flask or FastAPI, PostgreSQL, pytest, Git, VS Code.
Reporting line and career path
Next roles: Software Engineer, Django Developer, Data Engineer
Interview questions for a Python Developer
- What is the difference between a list, a tuple and a dictionary in Python?
- How do you handle exceptions cleanly in Python?
- What is a virtual environment and why do you use one?
- How would you write a script to process a large CSV file?
- What is the difference between Flask and FastAPI?
- Tell me about something you automated with Python.
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What does a Python developer do?
A Python developer builds applications, backends, scripts and automation in Python. They build features and APIs with frameworks like Flask or FastAPI, work with databases and files, and write scripts that save manual effort. At the entry level they deliver assigned work, write tests and learn Python's wide ecosystem with support from senior engineers.
Why is Python so popular for jobs in India?
Python is readable, versatile and used across web backends, automation, data science, machine learning and scripting. That range means one language opens many career paths, so demand is high across Indian companies. Its large library ecosystem lets teams build quickly, which is why many startups, product firms and enterprises hire Python developers.
Should a Python developer learn Django or Flask?
It depends on the work. Flask and FastAPI are lightweight and great for APIs and small services, giving you freedom to choose components. Django is a full framework with an ORM, admin and structure built in, which suits larger applications. Learn the basics of one, and knowing both makes you more flexible in the job market.