Senior Python Developer - Django/Flask (5-7 yrs)

We are looking for an experienced Python Developer to join our team and contribute to innovative, data-driven projects.

As a Python Developer with 5+ years of experience, you will be responsible for developing and maintaining high-quality backend systems and applications. You will collaborate with cross-functional teams to design and implement scalable solutions that meet business needs and ensure smooth functionality.

Key Responsibilities :

- Develop, test, and maintain high-performance and scalable applications using Python.

- Write efficient, reusable, and maintainable code that adheres to best practices.

- Collaborate with front-end developers, product managers, and other teams to deliver well-rounded solutions.

- Design, develop, and integrate APIs and third-party services.

- Debug and resolve technical issues and performance bottlenecks.

- Optimize application performance and ensure it scales to handle increasing traffic and data.

- Work with databases such as PostgreSQL, MySQL, or NoSQL databases like MongoDB.

- Participate in code reviews, ensuring code quality and adherence to standards.

- Write and maintain documentation for developed software systems.

- Stay updated on emerging technologies and incorporate them into the development process where appropriate.

- Minimum of 5 years of experience working with Python.

- Strong knowledge of Python frameworks like Django, Flask, or FastAPI.

- Experience with databases (SQL and NoSQL) and writing optimized queries.

- Proficiency in building and consuming RESTful APIs.

- Strong understanding of object-oriented programming, design patterns, and data structures.

- Experience with version control systems like Git.

- Familiarity with front-end technologies such as HTML, CSS, JavaScript (preferred but not required).

- Experience with cloud platforms such as AWS, Google Cloud, or Azure.

- Understanding of CI/CD pipelines and automated testing frameworks.

- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.

- Good communication skills and the ability to work collaboratively with cross-functional teams.

- Experience with Docker and container orchestration tools like Kubernetes.

- Knowledge of message brokers like RabbitMQ or Kafka.

- Experience with asynchronous programming and multithreading.

- Familiarity with data science libraries such as Pandas, NumPy, or machine learning frameworks.