Python Developer - Backend Architecture

About the Role :

We are looking for an experienced Python Developer with 7+ years of hands-on experience in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate should have strong programming skills in Python, experience with backend development, API integration, database management, and a solid understanding of software development best practices.

Key Responsibilities :

• Design, develop, test, and maintain scalable applications using Python.
• Build and maintain backend services, RESTful APIs, and microservices.
• Write clean, reusable, efficient, and well-documented code following industry best practices.
• Work with relational and NoSQL databases to design schemas, optimize queries, and manage data efficiently.
• Develop and integrate third-party APIs and external services.
• Identify, troubleshoot, and resolve application performance issues and technical defects.
• Implement unit testing, integration testing, and automated testing frameworks.
• Collaborate with product managers, business analysts, frontend developers, and other stakeholders to understand requirements and deliver solutions.
• Participate in code reviews and contribute to technical design discussions.
• Optimize application performance, scalability, reliability, and security.
• Work with CI/CD pipelines, version control systems, and deployment processes.
• Contribute to application architecture, technical documentation, and continuous improvement initiatives.

Required Skills and Qualifications:

• 7+ years of professional experience in Python development.
• Strong proficiency in Python programming, object-oriented programming, and data structures.
• Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
• Strong understanding of RESTful APIs, microservices architecture, and API integration.
• Experience working with databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
• Knowledge of ORM frameworks, database optimization, and query performance tuning.
• Experience with Git and version control systems.
• Familiarity with unit testing frameworks such as PyTest or unittest.
• Understanding of software design principles, design patterns, and clean coding practices.
• Experience with debugging, performance optimization, and production issue resolution.
• Familiarity with Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, problem-solving, and communication skills.