This is a full-time on-site role for a Python Developer located in Pune . The Python Developer will be responsible for back-end web development, software development, and programming using Python. Day-to-day tasks include developing, testing, and maintaining scalable web applications and server-side logic, as well as optimizing performance and integrating user-facing elements with server-side logic. The role also demands collaboration with cross-functional teams to define, design, and ship new features.

Key Responsibilities

• Lead the backend development team , ensuring best practices in coding, architecture, and performance optimization.
• Design, develop, and maintain scalable backend services using Python and FastAPI.
• Architect and optimize databases, ensuring efficient storage and retrieval of data using MongoDB.
• Integrate AI models and data science workflows into enterprise applications.
• Implement and manage AWS cloud services , including Lambda, S3, EC2, and other AWS components.
• Automate deployment pipelines using Jenkins and CI/CD best practices.
• Ensure security and reliability, implementing best practices for authentication, authorization, and data privacy.
• Monitor and troubleshoot system performance, optimizing infrastructure and codebase.
• Collaborate with data scientists, front-end engineers, and product team to build AI-driven solutions.
• Stay up to date with the latest technologies in AI, backend development, and cloud computing.

Required Skills & Qualifications

• 3-4 years of experience in backend development with Python.
• Strong experience in Fast API framework.
• Proficiency in MongoDB or other NoSQL databases.
• Hands-on experience with AWS services (Lambda, S3, EC2, etc.).
• Experience with Jenkins and CI/CD pipelines.
• Data Science knowledge with experience integrating AI models and data pipelines.
• Strong understanding of RESTful API design, microservices, and event-driven architecture.
• Experience in performance tuning, caching, and security best practices.
• Proficiency in working with Docker and containerized applications.