Python Developer

As a Python Developer at Weekday's client, you'll focus on designing, developing, and maintaining scalable applications using Python and frameworks like Django and Flask. Your responsibilities will also include building and optimizing APIs, implementing AI/ML models in collaboration with data scientists, and managing databases for optimal performance.

To be considered for the Python Developer position with Weekday's client, you should have at least 5 years of hands-on Python experience, proficiency in relevant frameworks such as Django or Flask, and a solid understanding of both SQL and NoSQL databases. Familiarity with cloud platforms like AWS or Azure is also essential.

Preferred skills for a Python Developer at Weekday's client include experience in full-stack development, especially with JavaScript frameworks like React or Angular. Additionally, familiarity with Agile methodologies, CI/CD pipelines, and a basic understanding of security best practices in application development are advantageous.

Collaboration is key for a Python Developer at Weekday's client. You’ll work closely with cross-functional teams, translating complex business requirements into actionable technical solutions while also sharing insights and best practices to ensure smooth project execution.

A Python Developer at Weekday's client should be comfortable with various tools and technologies, including Docker and Kubernetes for containerization, cloud services like AWS and Azure, as well as versions control systems for effective code management. Knowledge of AI frameworks like TensorFlow and CI/CD tools will also be beneficial.

As a Python Developer, familiarity with frameworks like Django, Flask, or FastAPI is crucial. When discussing these frameworks, be sure to highlight your specific experiences and any projects you've completed using them.

Discuss your previous work with RESTful APIs, including challenges faced and how you optimized API performance. Mention the tools and technologies you used, like Django REST Framework or Flask-RESTful.

I ensure code quality through regular code reviews, using tools like pylint or flake8, and by adhering to best coding practices. Sharing responsibility with the team is important to maintain high standards.

Share a specific instance where you faced a difficult bug, outlining the steps you took to diagnose it. Discuss the tools you used for debugging and how you eventually resolved the issue.

Highlight your experiences with cloud platforms like AWS or Azure. Discuss deployments you've managed and any specific services you've utilized, ensuring to cover your comfort with tools like Terraform or AWS CLI.

Database optimization involves indexing, query optimization, and regular monitoring. I focus on understanding the access patterns of my application and adjust the database structure accordingly.

AI/ML can significantly enhance applications through predictive insights. Describe specific projects where you've implemented models and how you've integrated them into your applications.

I utilize profiling tools, conduct load testing, and apply caching strategies to ensure optimal performance. Regular maintenance and refactoring also contribute to overall application efficiency.

I stay current through online courses, attending workshops, and participating in developer communities. Following Python-related news and engaging in projects helps maintain and enhance my skills.

Collaboration is vital because it ensures diverse input in solving problems and meeting project requirements. Sharing knowledge helps improve not only personal growth but also enhances team output and project success.