Job Description

Python Developer (6 Month contract with potential for extension)Hybrid - Cape Town (Once a week in office):We are seeking a skilled and motivated Python Developer to join our dynamic team. The successful candidate will work on developing and maintaining high-quality software solutions that meet our clients' needs. As a Python Developer, you will be responsible for writing efficient, testable, and scalable code while collaborating closely with cross-functional teams to deliver projects on time.Key Responsibilities:

• Design, develop, and maintain robust Python applications.
• Write reusable, testable, and efficient code.
• Integrate user-facing elements developed by front-end developers with server-side logic.
• Develop and integrate databases, data processing pipelines, and machine learning models.
• Optimize applications for maximum speed and scalability.
• Collaborate with front-end developers, designers, and other stakeholders to deliver cohesive and well-rounded solutions.
• Troubleshoot and debug applications.
• Perform code reviews and mentor junior developers.
• Stay up-to-date with the latest industry trends and technologies.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 3+ years of professional experience in Python development.
• Strong understanding of Python frameworks such as Django, Flask, or FastAPI.
• Experience with front-end technologies like HTML5, CSS3, and JavaScript is a plus.
• Proficiency in working with databases such as PostgreSQL, MySQL, or MongoDB.
• Familiarity with RESTful APIs, microservices architecture, and containerization (e.g., Docker).
• Experience with version control systems like Git.
• Understanding of software development best practices, including agile methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of DevOps practices and tools (CI/CD, Jenkins, Kubernetes).
• Familiarity with data processing and analysis libraries such as Pandas, NumPy, or TensorFlow.
• Previous experience in developing machine learning models or working in data science.

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