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            Job Description
            
                We are in search of a passionate and skilled Python Developer to join our dynamic team.
This role is ideal for someone with a profound expertise in Python and its ecosystem, focused on backend development, API design, and system integration.
Candidate Experience - 3+ Years
Technologies - Python, Fast API, Django, Flask, SQL/No SQL, Docker, AWS, CI/CD pipelines.
Responsibilities
1.
Develop, maintain, and improve backend services and APIs using Python with frameworks like Fast API, Django, or Flask.
2.
Design and implement Python packages and SDKs for use within and outside the organization, ensuring robustness, scalability, and ease of use.
3.
Employ object-oriented programming principles and software design patterns to write clean, maintainable, and efficient code.
4.
Manage integration with databases, both relational (e.g., Postgre SQL, My SQL) and No SQL (e.g., Mongo DB, Redis), ensuring data integrity and performance.
5.
Engage in asynchronous programming to enhance application performance and user experience.
6.
Collaborate with cross-functional teams to define, design, and ship new features.
7.
Maintain and improve the performance of existing applications.
8.
Continuously learn and apply new technologies to solve complex problems.
Must-Have Qualifications
1.
Demonstrable experience as a Python Developer, especially in web framework-based development (Django, Flask, Fast API).
2.
Proficient in developing Python packages and SDKs, with a strong understanding of the packaging ecosystem (Py PI, setuptools).
3.
Solid grasp of object-oriented programming (OOP) principles and software design patterns.
4.
In-depth knowledge of integrating with databases (both SQL and No SQL) and developing data-driven applications.
5.
Experience with version control tools, particularly Git.
6.
Should have worked on application scaling and concurrency strategies.
7.
Worked on RESTFUL & GRAPHQL services.
Preferred Skills
1.
Familiarity with cloud computing services (AWS, Azure, GCP) and deploying scalable applications in the cloud.
2.
Knowledge of generative AI and MLOps practices.
3.
Experience in testing frameworks and methodologies to ensure the reliability and performance of applications.
Additional Qualifications
1.
Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
2.
Strong problem-solving skills and the ability to think algorithmically.
3.
Excellent verbal and written communication skills.
4.
Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
5.
Familiarity with version control tools, such as Git.
            
         
  
  
  
        
        
        
        
        
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