Job Details

Job description

Key Responsibilities:

• Design, develop, and maintain scalable, efficient, and robust backend systems using Python.
• Write reusable, testable, and efficient code, following best practices in coding and design patterns.
• Work with APIs (RESTful/GraphQL) and integrate external services and databases.
• Collaborate with frontend developers to create seamless, integrated user experiences.
• Work on data pipelines, data processing, and automation tasks using Python libraries like Pandas, NumPy, and others.
• Optimize applications for speed and scalability.
• Develop and maintain unit tests to ensure the robustness of the system.
• Troubleshoot, debug, and enhance existing applications.
• Participate in code reviews and ensure adherence to high-quality coding standards.
• Work with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Contribute to architectural decisions and provide technical guidance to junior developers.
• Stay up to date with the latest trends in software development and Python programming.

Required Skills and Qualifications:

• 3 to 10 years of professional experience in Python development.
• Strong knowledge of Python and Python frameworks (Django, Flask, FastAPI, etc.).
• Proficient in working with databases (SQL and NoSQL) and designing efficient database schemas.
• Experience with API development and integration (RESTful/GraphQL).
• Familiarity with web technologies like HTML, CSS, JavaScript, and front-end frameworks.
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with version control systems such as Git.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and CI/CD processes.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and the ability to work in a collaborative team environment.

Preferred Skills:

• Experience with data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn).
• Knowledge of machine learning and AI principles.
• Experience with microservices architecture.
• Familiarity with Agile methodologies and project management tools (Jira, Trello, etc.).