Full Stack Python Developer - Django / FastAPI

We are seeking an experienced Python Developer with a proven track record of building scalable and secure applications, The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance.

Roles and Responsibilities :

Application Development :

• Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI.

• API Integration: Design and implement seamless integration with third-party APIs.

• Data Management : Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions.

• Microservices Architecture : Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability.

• Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience.

• Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR.

• Automation and Deployment : Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes.

Collaboration :

• Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.

Education :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Expertise :

• Hands-on experience with Python frameworks like Django, Flask, and FastAPI.

• Proficiency in RESTful APIs, GraphQL, and asynchronous programming.

• Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka).

• Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI).

Working Hours : 11:00 AM - 8:00 PM