Python Developer Intern

About Us:

Arcitech AI is a forward-thinking organization dedicated to innovation and excellence in software development. We are looking for a passionate and talented Python Developer Intern to join our dynamic engineering team. This is an excellent opportunity to gain hands-on experience, collaborate with skilled professionals, and contribute to impactful projects.

Key Responsibilities:

• Develop Backend Services: Assist in developing and maintaining backend services and applications using Python to support business processes and customer-facing solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, front-end developers, and system architects to implement robust and seamless solutions.
• Code Development: Write reusable, testable, and efficient code that meets project requirements and adheres to best practices.
• Integration with Front-End Elements: Help integrate user-facing elements developed by front-end teams with server-side logic.
• Data Storage Solutions: Implement and maintain data storage solutions using both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
• Code Reviews and Best Practices: Participate in code reviews and contribute to team discussions on coding standards and best practices.
• Stay Updated: Keep up with the latest trends and advancements in Python and related technologies.

Qualifications:

• Currently pursuing or recently graduated with a degree in Computer Science, Engineering, Information Technology, or a related field.
• Basic knowledge of Python programming and its frameworks (e.g., Django, Flask).
• Familiarity with web development technologies such as HTML, CSS, and JavaScript.
• Understanding of relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
• Knowledge of software development principles and best practices.
• Experience with version control systems like Git.
• Strong problem-solving skills and a collaborative mindset.

Preferred Skills:

• Experience with API development and integration.
• Familiarity with containerization tools such as Docker.
• Understanding of Agile methodologies and project management tools like JIRA.
• Basic knowledge of cloud computing environments (e.g., AWS, GCP, Azure).