Senior Back-end Developer (Python)

As a Senior Back-end Developer (Python) at our company, you'll design, develop, and maintain Python-based backend applications. Additionally, you'll manage Docker and Kubernetes environments, monitor application performance using DataDog, and develop bridge code for cloud environments. Your role also involves integrating projects with CICD platforms like GitHub Actions and Jenkins, as well as ensuring code quality by writing and maintaining tests.

To apply for the Senior Back-end Developer (Python) position, you should have a Bachelor's degree in Computer Science or a related field along with at least 3 years of backend development experience using Python. Proficiency in Python tools like PyPI and familiarity with PostgreSQL or Aurora are also important. Additionally, strong problem-solving skills and fluency in English are essential for effective communication within the team.

As a Senior Back-end Developer (Python), you'll work with a tech stack that includes Python on FastAPI, GCP for cloud deployments, AWS, and Heroku. You'll also utilize Datadog for application performance monitoring and perform CI/CD processes using GitHub Actions. Your work will often intersect with PostgreSQL databases and tools like Modal and Replicate for GPU-intensive projects.

Teamwork is highly valued in our company. As a Senior Back-end Developer (Python), you'll collaborate with various departments and team members to ensure projects are completed successfully. While the role allows for independent work, your ability to communicate effectively and work collaboratively will contribute to your success on the team.

We offer a range of benefits to support our employees. As a Senior Back-end Developer (Python), you will receive private health insurance, meal and transportation allowances, office snacks, and a learning stipend to enhance your skills and personal growth. Our workplace is designed to promote a healthy work-life balance while ensuring you're well taken care of.

When answering this question, focus on specific projects where you used Python. Discuss your role, the challenges faced, and how you overcame them. Highlight any frameworks or libraries you utilized, such as FastAPI or popular Python tools, and explain the impact of your work on the project’s success.

To effectively answer this question, outline your systematic approach to debugging. Mention using logging, debugging tools, or Python’s built-in mechanisms like pdb. Explain how you prioritize testing to identify areas vulnerable to bugs, and describe any tools you leverage for performance monitoring.

Share your practical experience with Docker and Kubernetes, emphasizing how you've implemented and managed these tools in previous projects. Explain how containerization benefits deployment and scalability, and highlight any specific challenges you’ve navigated.

Discuss your strategies for maintaining code quality, such as following design patterns and clean code principles. Mention your experience with automated testing, code reviews, and using tools like Flake8 or Black to enforce coding standards. Explain how you value readability and maintainability in your code.

Provide a specific example where you successfully learned a new technology. Detail how you approached the learning process, what resources you used, and how you applied your knowledge to a project. Highlight your ability to adapt and embrace new challenges.

Describe the performance monitoring tools you’ve used, such as DataDog, and explain your experience in setting them up and interpreting the data. Talk about how you utilize performance metrics to identify bottlenecks and improve application responsiveness.

Discuss your strategies for effective communication in remote environments, such as regular check-ins, using collaboration tools, and ensuring clarity in project goals. Highlight your adaptability and how you've maintained project momentum despite challenges.

Explain your experience with CI/CD processes and how they enhance your workflow. Discuss specific tools you have used, like GitHub Actions or Jenkins, and describe how CI/CD practices contribute to faster delivery and fewer integration issues.

Share a specific instance where you successfully met a tight deadline. Describe how you prioritize tasks, maintain focus, and communicate with your team during high-pressure periods. Highlight your ability to remain calm and productive.

Discuss best practices such as writing clean, modular code, implementing thorough testing, and maintaining up-to-date documentation. Emphasize how you consider scalability and security during the development process and ensure code reviews are part of your workflow.