Phyton Backend Developer in Jaipur

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Posted:1 month ago| Platform: Linkedin logo

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Job Description

Key Responsibilities Design, build, and maintain efficient, reusable, and reliable Python code Develop RESTful APIs and backend systems using frameworks such as Django, Flask, or FastAPI Integrate with databases (SQL and NoSQL), third-party APIs, and cloud services Ensure the performance, quality, and responsiveness of backend services Write unit and integration tests and participate in code reviews Collaborate with DevOps to ensure CI/CD pipelines and deployment processes are streamlined Optimize applications for maximum speed and scalability Troubleshoot and debug applications Requirements Bachelor's degree in computer science, engineering, or a related field Familiarity with testing tools like PyTest and unittest Understanding of Agile methodologies and DevOps practices Knowledge of front-end technologies (HTML, CSS, JavaScript) Proven experience as a backend developer using Python Proficiency with one or more Python web frameworks like Django, Flask, or FastAPI Solid understanding of RESTful API design and microservices architecture Strong experience with relational databases like PostgreSQL or MySQL and/or NoSQL databases like MongoDB or Redis Familiarity with version control tools like Git Experience with containerization tools like Docker and orchestration using Kubernetes Good understanding of cloud platforms like AWS, GCP, or Azure Ability to write clean, scalable, and well-documented code About Company: Softsensor.ai is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context. Show more Show less

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