Key Responsibilities: Lead the design and development of scalable, maintainable, and high-performance applications using Python.Architect solutions and write clean, efficient, and well-documented code.Collaborate with cross-functional teams (product managers, designers, and other engineers) to define project requirements and deliver robust solutions.Optimize application performance, troubleshoot issues, and debug complex systems.Ensure code quality by writing unit, integration, and automated tests.Mentor and provide technical guidance to junior engineers.Contribute to the evolution of our development practices, including coding standards, testing practices, and deployment processes.Stay updated with the latest technologies, frameworks, and best practices in Python development.Participate in code reviews and ensure adherence to best practices.Work with cloud platforms (AWS, Azure, or Google Cloud) to deploy, manage, and scale applications.Requirements: 5+ years of professional Python development experience.Expertise in building web applications and RESTful APIs using Python frameworks such as Django or Flask.Proficiency in relational databases like PostgreSQL, MySQL, or other database technologies.Experience with front-end technologies (HTML, CSS, JavaScript) is a plus.Solid understanding of software development principles, design patterns, and best practices.Familiarity with version control systems (e.g., Git).Experience with containerization technologies like Docker and orchestration tools like Kubernetes is desirable.Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing applications.Strong problem-solving skills and attention to detail.Excellent communication skills and the ability to work in a collaborative environment.Ability to work independently and lead projects from concept to completion.Preferred Qualifications: Experience with asynchronous programming (e.g., using AsyncIO or Celery).Familiarity with microservices architecture.Experience with DevOps practices, CI/CD pipelines, and infrastructure automation.Knowledge of data processing libraries like Pandas, NumPy, or similar.Exposure to machine learning or data science libraries (e.g., TensorFlow, PyTorch) is a plus.Experience integrating Telegram bots using libraries like python-telegram-bot or Telethon is a plus.