Description
In this role, you will work closely with senior developers and other cross-functional teams to develop and maintain high-quality Python applications. As a Junior Python Developer, you will have the opportunity to learn and grow your skills while contributing to exciting projects.
Responsibilities
- Collaborate with senior developers to design and develop Python applications.
- Write clean, efficient, and maintainable code that follows best practices.
- Participate in code reviews and provide constructive feedback.
- Debug and fix issues in the existing codebase.
- Assist in testing and quality assurance processes.
- Stay updated with the latest trends and technologies in Python development.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Strong knowledge of Python programming language.
- Familiarity with web frameworks such as Django or Flask.
- Experience with version control systems, preferably Git.
- Basic understanding of front-end technologies (HTML, CSS, JavaScript).
- Good problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Self-motivated and eager to learn.
Nice to have
- Experience with database systems such as MySQL, PostgreSQL, or MongoDB.
- Knowledge of RESTful APIs and integration.
- Familiarity with cloud platforms such as AWS or Azure.
- Understanding of agile development methodologies.
Benefits
- Flexible vacation, unlimited paid holidays, and paid sick days
- 401(k) with up to 2% employer match
- Health, vision, and dental insurance
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process. The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.