Accenture Custom Software Engineer Jobs 2026 – Freshers Hiring

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Techasoft Private Limited Hiring Python Developer

Work From Home Opportunity | Bangalore

Python • Django • REST API • AWS • Docker • AI/ML

2+ Years Experience Immediate Start Work From Home Python Developer

Techasoft Python Developer Job 2026

Techasoft Private Limited is hiring experienced Python Developers for a work-from-home opportunity based in Bangalore. Candidates with strong experience in Python, Django, RESTful APIs, databases, AWS and Docker can apply for this position.

This opportunity is suitable for developers who have practical experience building web applications using Django and working with multiple databases and deployment environments.

The role also involves exposure to Artificial Intelligence, Machine Learning, Deep Learning, predictive modelling, data analytics and data visualization.

Job Details

Company Techasoft Private Limited

Job Role Python Developer

Experience 2+ Years

Location Bangalore

Work Mode Work From Home

Joining Immediate Start

Python Developer Responsibilities

• Write clean, scalable and well-designed Python code.
• Prepare detailed technical specifications for application development.
• Troubleshoot, test and maintain core product software.
• Optimize databases and application functionality.
• Participate in all phases of the software development lifecycle.
• Follow software development and industry best practices.
• Develop and deploy new application features.
• Build and maintain Python/Django web applications.
• Work with RESTful APIs and web frameworks.
• Integrate multiple databases and different data sources.
• Work with AI, ML and predictive modelling solutions.

Python Developer Requirements

• 2+ years of relevant development experience.
• Strong experience building web applications using Python and Django.
• Good understanding of front-end development practices.
• Strong knowledge of JavaScript APIs.
• Experience handling multiple databases in Django.
• Knowledge of production and staging environment setup.
• Experience deploying Django applications on AWS.
• Understanding of RESTful APIs and web frameworks.
• Strong understanding of ORM and OOPS concepts.
• Knowledge of MongoDB, PostgreSQL and MySQL.
• Experience with Docker and Docker Compose.
• Understanding of predictive modelling.
• Ability to integrate multiple databases and data sources.
• Knowledge of AI, Machine Learning and Deep Learning.
• Understanding of neural networks, statistics and data analytics.

Required Skills & Technologies

Python Django REST API JavaScript AWS Docker Docker Compose MongoDB PostgreSQL MySQL ORM OOPS AI Machine Learning Deep Learning Neural Networks TensorFlow Scikit-learn Pandas NumPy OpenCV Selenium Data Analytics Data Visualization

Python Developer Interview Questions

Candidates preparing for the Techasoft Python Developer interview should be comfortable with Python, Django, databases, REST APIs, AWS, Docker and AI/ML concepts. The following questions are useful for technical interview preparation.

Python Interview Questions

1. What are the main features of Python?

Python is a high-level, interpreted and dynamically typed language. It supports object-oriented, functional and procedural programming and provides a large standard library.

2. What is the difference between list, tuple and set in Python?

Lists are ordered and mutable, tuples are ordered and immutable, while sets store unique elements without relying on positional indexing.

3. What is OOPS in Python?

Object-oriented programming organizes software around objects and classes. Important concepts include encapsulation, inheritance, polymorphism and abstraction.

4. What is the difference between deep copy and shallow copy?

A shallow copy creates a new outer object while nested objects may still be shared. A deep copy recursively creates independent copies of nested objects.

5. What are decorators in Python?

Decorators are functions that modify or extend the behavior of another function or class without changing its original source code.

Django Interview Questions

6. What is Django?

Django is a Python web framework designed for building secure, maintainable and scalable web applications.

7. Explain Django MVT architecture.

MVT stands for Model, View and Template. Model manages data, View handles application logic and Template manages presentation.

8. What is Django ORM?

Django ORM allows developers to interact with databases using Python objects and query APIs instead of writing SQL for every operation.

9. How can you configure multiple databases in Django?

Multiple databases can be configured through Django's DATABASES setting. Database routers can then determine which database should be used for particular models or operations.

10. How do you configure staging and production environments in Django?

Separate configuration should be maintained for each environment. Environment variables, separate settings modules and secure secret management can be used to avoid mixing development, staging and production configuration.

REST API Interview Questions

11. What is a REST API?

REST is an architectural style for designing web services around resources using HTTP methods such as GET, POST, PUT, PATCH and DELETE.

12. What is the difference between PUT and PATCH?

PUT is generally used to replace a resource, while PATCH is used for partial updates to an existing resource.

13. How do you secure a Django REST API?

Authentication, authorization, HTTPS, input validation, rate limiting, secure credentials and appropriate permission controls can be used to protect an API.

14. What HTTP status codes should a REST API developer know?

Common codes include 200 for success, 201 for creation, 400 for invalid requests, 401 for authentication failure, 403 for forbidden access, 404 for missing resources and 500 for server errors.

Database Interview Questions

15. What is the difference between SQL and NoSQL databases?

SQL databases generally use structured tables and relational models, while NoSQL databases can use document, key-value, graph or other flexible data models.

16. What is MongoDB?

MongoDB is a document-oriented NoSQL database that stores data in flexible document structures.

17. What is PostgreSQL?

PostgreSQL is an open-source relational database management system known for strong SQL support, reliability and advanced database features.

18. What is database indexing?

An index is a data structure that can improve the speed of database queries, although indexes also require storage and can increase the cost of writes.

AWS & Deployment Interview Questions

19. How would you deploy a Django application on AWS?

A typical deployment includes configuring the application server, database, environment variables, static/media files, networking, HTTPS and monitoring. The exact AWS services depend on the project architecture.

20. What is the difference between development, staging and production?

Development is mainly for active coding, staging is used to validate changes in a production-like environment, and production is the live environment used by real users.

Docker Interview Questions

21. What is Docker?

Docker is a containerization platform that packages an application and its dependencies into portable containers.

22. What is Docker Compose?

Docker Compose allows multiple containers and their configuration to be defined and managed together, commonly using a YAML file.

23. What is the difference between a Docker image and container?

An image is a packaged template containing application code and dependencies. A container is a running instance created from an image.

AI & Machine Learning Interview Questions

24. What is Machine Learning?

Machine Learning is a branch of AI where algorithms learn patterns from data to make predictions or decisions.

25. What is predictive modelling?

Predictive modelling uses historical data and statistical or machine learning techniques to predict future or unknown outcomes.

26. What is the difference between supervised and unsupervised learning?

Supervised learning uses labelled data, while unsupervised learning identifies patterns or structures in data without labelled target values.

27. What is overfitting?

Overfitting occurs when a machine learning model learns the training data too closely and performs poorly on unseen data.

28. What is a neural network?

A neural network is a machine learning model made of interconnected computational units arranged in layers and trained to learn patterns from data.

Python Libraries Interview Questions

29. What is Pandas used for?

Pandas is commonly used for data manipulation, cleaning, analysis and working with structured datasets.

30. What is NumPy?

NumPy provides efficient numerical arrays and mathematical operations that are widely used in scientific computing and machine learning.

31. What is Scikit-learn?

Scikit-learn is a Python machine learning library providing tools for algorithms such as classification, regression, clustering and preprocessing.

32. What is TensorFlow?

TensorFlow is a machine learning framework used to build and train machine learning and deep learning models.

33. What is OpenCV used for?

OpenCV is a computer vision library used for image processing, computer vision applications and video analysis.

34. What is Selenium?

Selenium is commonly used for browser automation and automated testing of web applications.

How to Prepare for the Techasoft Python Developer Interview?

Interview Tip: Focus on practical development rather than only theoretical concepts. Be prepared to explain projects where you used Django, REST APIs, databases, AWS and Docker.

• Revise Python fundamentals and OOPS concepts.
• Practice Django models, views, serializers and ORM queries.
• Understand multiple database configuration in Django.
• Prepare REST API design and authentication concepts.
• Revise MongoDB, PostgreSQL and MySQL.
• Understand Docker images, containers and Docker Compose.
• Learn Django deployment concepts on AWS.
• Revise machine learning and predictive modelling fundamentals.
• Practice Pandas, NumPy and Scikit-learn.
• Be ready to discuss your previous Python/Django projects.

Apply for Python Developer Job

Interested in this Python Developer opportunity at Techasoft Private Limited?

Candidates with 2+ years of Python/Django experience can apply and prepare for the technical interview using the questions above.

Apply Now

Frequently Asked Questions

Is Techasoft hiring Python Developers? Yes. The listed position is for a Python Developer with 2+ years of experience.

What is the location of the Python Developer job? The role is listed as Bangalore with a work-from-home arrangement.

What experience is required? The position requires 2+ years of experience.

Which Python framework is required? Strong experience with Python and Django is required.

Are AWS and Docker skills required? Yes. The job description specifically mentions Django deployment on AWS and familiarity with Docker/Docker Compose.

Which databases are mentioned? MongoDB, PostgreSQL and MySQL are mentioned in the requirements.

Does the role involve AI and Machine Learning? Yes. The requirements include predictive models, AI, ML, Deep Learning, neural networks, statistics and data analytics.

Important Note

Job availability, eligibility criteria, location and hiring status can change at any time. Candidates should verify the latest information and application instructions before submitting an application.

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