Python Developer - Microservices Architecture

Key Responsibilities :

Application Design & Development :

- Design, develop, test, and deploy robust and scalable applications using Python and related frameworks (such as Django, Flask, or FastAPI).

- Develop and integrate RESTful APIs for internal and external services.

- Write efficient, clean, and maintainable code adhering to coding standards and best practices.

- Implement modular, reusable components to support evolving business needs.

Cloud Integration & Deployment :

- Develop, deploy, and maintain cloud-based solutions using Microsoft Azure services (App Services, Azure Functions, Azure Storage, etc.).

- Manage CI/CD pipelines for automated build, test, and deployment workflows.

- Monitor application performance and ensure high availability and scalability in cloud environments.

- Implement security, backup, and disaster recovery strategies for cloud-based applications.

Collaboration & Solution Design :

- Work closely with front-end developers, DevOps engineers, data engineers, and project managers to deliver end-to-end solutions.

- Participate in architectural discussions, system design reviews, and technical planning sessions.

- Contribute to technical documentation including architecture diagrams, API documentation, and deployment guides.

Maintenance & Optimization :

- Debug, troubleshoot, and resolve complex technical issues in production and development environments.

- Optimize code and database queries for maximum performance and scalability.

- Conduct regular code reviews and ensure adherence to version control (Git).

- Continuously identify opportunities for process automation and system improvement.

- Hands-on experience in Microsoft Azure services, deployment, and management.

- Proficiency in REST API development, JSON, and HTTP-based integrations.

- Experience with databases (SQL and NoSQL PostgreSQL, MySQL, MongoDB, etc.).

- Knowledge of version control systems such as Git and familiarity with Agile/Scrum methodologies.

- Solid understanding of software design patterns, OOP principles, and testing frameworks (PyTest, Unittest). Strong debugging, problem-solving, and analytical skills.

Preferred Qualifications (Good to Have) :

- Experience with Docker, Kubernetes, or other containerization/orchestration tools.

- Familiarity with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.

- Exposure to data engineering, machine learning integration, or microservices architecture.

- Working knowledge of Power BI, Azure Data Factory, or Event-driven architectures. Microsoft or other relevant cloud certifications.