Phyton Backend Developer in Jaipur

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.