
Senior Backend Software Engineer
2 days ago
Key Responsibilities
Develop and maintain scalable, efficient, and secure backend applications using Python frameworks like Django, Flask, or FastAPI. Design and implement RESTful APIs to integrate third-party services and enhance platform capabilities.
Utilize data handling libraries like Pandas and NumPy for data processing and analysis. Implement clean, maintainable, and well-documented code that adheres to industry best practices.
Participate in code reviews and mentor junior developers to improve coding skills and knowledge.
Collaborate with Agile teams using Scrum or Kanban workflows to ensure effective project management and delivery.
Troubleshoot and debug production issues with a proactive and analytical approach.
Required Skills and Qualifications2-5 years of experience in backend development with Python.
Proficiency in core and advanced Python concepts, including Object-Oriented Programming (OOP) and asynchronous programming.
Strong command over at least one Python framework (Django, Flask, or FastAPI).
Experience with data libraries like Pandas and NumPy.
Understanding of authentication/authorization mechanisms, middleware, and dependency injection.
Familiarity with version control systems like Git.
Comfortable working in Linux environments.
BenefitsExpertise in backend Python development and web frameworks.
Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs).
Strong debugging, problem-solving, and optimization skills.
Experience with API development and microservices architecture.
Deep understanding of software design principles and security best practices.
OthersExposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Knowledge of containerization tools (Docker, Kubernetes).
Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures.
Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO).
Familiarity with Agile practices and tools like Jira or Trello.
Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure).
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