Job Description

Job Description:

• 7+ years of professional experience in Python development with strong expertise in Django.
• Proven track record of remediating or debugging Django applications and restoring them to production status.
• Deep understanding of Django ORM, middleware, views, forms, API calls, and templating systems.
• Familiarity with implementing data security and data protection.
• Solid knowledge of database management (e.g., SQL Server) and writing optimized queries within Django.
• Ability to document processes, code structure, and issue resolution steps thoroughly.
• Experience with version control systems, especially Git
• Strong proficiency in Python 3.x, including advanced features like decorators, metaclasses, context managers, and generators.
• Concurrency and Parallelism: Extensive experience with multi-threading, multi-processing, and asynchronous programming (asyncio, async/await).
• In-depth knowledge of object-oriented design patterns (e.g., Singleton, Factory, Observer) and principles (e.g., SOLID).
• Expertise in working with relational databases and ORMs (e.g., SQLAlchemy, Django ORM), and ability to write optimized SQL queries.
• Experience with Python web frameworks like Django, Flask, or FastAPI to build scalable and maintainable APIs and web applications.
• Solid understanding of data structures (e.g., trees, heaps, graphs) and algorithms (e.g., sorting, searching, dynamic programming) to solve performance-critical problems.
• Proficient in writing unit and integration tests using frameworks like unittest, pytest, and mocking libraries.
• Strong experience with Git and Git-based workflows (e.g., branching, pull requests, code reviews).
• Familiarity with cloud services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for deploying Python applications in production.
• Experience with Python profiling tools (e.g., cProfile, memory_profiler, line_profiler) and optimizing Python applications for performance.
• Experience with continuous integration and continuous delivery (CI/CD) pipelines, particularly for Python applications.

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