Back-end Developer (Python)

As a Back-end Developer (Python) at our company, you'll design, develop, and maintain container-based applications, monitor application performance, manage Docker and Kubernetes environments, and deploy applications to platforms like GCP and Heroku. You'll also be responsible for writing tests, integrating projects with CICD platforms like GitHub Actions, and developing bridge code for cloud environments.

To qualify for the Back-end Developer (Python) role at our company, you need a Bachelor's degree in Computer Science or a related field and a minimum of 3 years of backend development experience using Python. Familiarity with PostgreSQL, basic understanding of machine learning libraries, and proficiency in various Python tools are also needed.

Important technical skills for a Back-end Developer (Python) at our company include proficiency in Python programming, experience with OOP, Design Patterns, and Clean Code principles, as well as strong knowledge of PostgreSQL and familiarity with AI and machine learning libraries. Experience with Docker, Kubernetes, and cloud deployments are also essential.

In the role of Back-end Developer (Python) at our company, you will work closely with other developers, project managers, and designers. Collaboration and effective communication are key as you'll be part of a team that values innovative problem-solving and shared success in project deliveries.

A Back-end Developer (Python) at our company utilizes a variety of tools, including Python on FastAPI for application development, PostgreSQL for the database, DataDog for application performance monitoring, and GitHub Actions or Jenkins for CICD. Knowledge of cloud platforms such as GCP and Heroku is crucial for deploying applications.

When answering this, discuss specific frameworks you have used, such as Django or Flask, and highlight any projects where you implemented them. Being able to communicate how you applied the framework in a real-world scenario can demonstrate your practical knowledge.

To effectively answer, describe tools and methodologies you use to monitor performance, such as APM tools like DataDog, and any techniques you apply to optimize code and database queries. Providing measurable outcomes from past experiences can strengthen your response.

Talk about strategies you employ to manage errors, such as using try-catch blocks, logging errors, and creating custom error messages for better user experience. Sharing specific examples of how you resolved issues in prior projects can be beneficial.

Discuss tools like GitHub Actions and Jenkins, detailing how you utilized them in your projects, including the automated tests, builds, and deployments you set up. Showcasing your understanding of continuous integration and delivery principles is essential.

Be sure to explain your background with these tools, emphasizing specific projects where you containerized applications or managed deployments with Kubernetes. Mention how these practices improved scalability and ease of deployment in your work.

Outline your experience with databases, specifically PostgreSQL, and mention ORM tools like SQLAlchemy that you have used. Discuss methodologies for maintaining database performance and ensuring data integrity, sharing examples of challenges you’ve solved.

In your answer, focus on specific cloud services you've utilized, such as GCP or AWS, and describe instances where you deployed applications or leveraged cloud benefits like scalability and flexibility. Highlight how you tackled challenges tied to cloud deployments.

A good response includes mentioning resources such as online courses, tech blogs, forums, or community involvement. Discuss specific recent technologies or trends you've learned about and how you plan to implement new knowledge in your work.

Describe your testing strategies, such as unit tests, integration tests, and code reviews. Mention testing frameworks you’ve used and the importance of maintaining code quality through best practices, along with how you’ve improved codebases in the past.

Choose a specific challenge that showcases your problem-solving skills. Describe the context, actions you took, and the tangible results. Using the STAR method (Situation, Task, Action, Result) can help convey your thought process effectively.