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Role Overview: You will be responsible for developing and maintaining Python applications, including working with frameworks such as Django, Flask, and FastAPI. Your role will involve implementing REST APIs, following Microservices Architecture, applying OOPs Concepts, and Design Patterns. Additionally, you will work with databases like PostgreSQL, MySQL, MongoDB, and Redis. Key Responsibilities: - Develop Python applications using frameworks like Django, Flask, and FastAPI - Implement REST APIs and follow Microservices Architecture - Apply OOPs Concepts and Design Patterns - Work with databases such as PostgreSQL, MySQL, MongoDB, and Redis - Utilize Docker, Kubernetes, CI/CD Pipelines, Git/GitHub/GitLab - Gain experience with cloud platforms like AWS, Azure, and GCP - Familiarity with message brokers like Kafka and RabbitMQ - Conduct unit testing and automation frameworks - Demonstrate leadership skills by handling and mentoring teams - Drive technical discussions and architecture decisions - Manage Agile/Scrum teams effectively Qualifications Required: - Bachelors/Masters degree in Computer Science or related field preferred - Experience in developing large-scale enterprise applications - Exposure to AI/ML integrations is an added advantage - Certifications in cloud or Python technologies are preferred (Note: No additional details about the company were provided in the job description.) Role Overview: You will be responsible for developing and maintaining Python applications, including working with frameworks such as Django, Flask, and FastAPI. Your role will involve implementing REST APIs, following Microservices Architecture, applying OOPs Concepts, and Design Patterns. Additionally, you will work with databases like PostgreSQL, MySQL, MongoDB, and Redis. Key Responsibilities: - Develop Python applications using frameworks like Django, Flask, and FastAPI - Implement REST APIs and follow Microservices Architecture - Apply OOPs Concepts and Design Patterns - Work with databases such as PostgreSQL, MySQL, MongoDB, and Redis - Utilize Docker, Kubernetes, CI/CD Pipelines, Git/GitHub/GitLab - Gain experience with cloud platforms like AWS, Azure, and GCP - Familiarity with message brokers like Kafka and RabbitMQ - Conduct unit testing and automation frameworks - Demonstrate leadership skills by handling and mentoring teams - Drive technical discussions and architecture decisions - Manage Agile/Scrum teams effectively Qualifications Required: - Bachelors/Masters degree in Computer Science or related field preferred - Experience in developing large-scale enterprise applications - Exposure to AI/ML integrations is an added advantage - Certifications in cloud or Python technologies are preferred (Note: No additional details about the company were provided in the job description.)
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