Senior Python Engineer

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.