Senior Fullstack Developer (Python + React)

Quick Facts

• Full-stack development with Python backend services and React frontend applications

Description

• Design, develop, and maintain full-stack solutions across Python backend services and React frontend applications
• Refactor and transform exploratory data science POCs, scripts, and Streamlit prototypes into production-grade systems
• Build, maintain, and optimize RESTful APIs to connect backend logic, AI services, and frontend interfaces
• Implement responsive, component-based React user interfaces that expose AI-driven features to end users
• Partner with Cloud Engineers to manage deployment setups, runtime architectures, environments, and CI/CD pipelines on AWS
• Establish code quality, security, observability, scalability, and technical standards across the full stack
• Collaborate with Data Scientists, AI Engineers, Cloud Engineers, and Product Owners to digitize enterprise procurement processes

Responsibilities

• Design, develop, and maintain full-stack solutions across Python backend services and React frontend applications
• Refactor and transform exploratory data science POCs, scripts, and Streamlit prototypes into production-grade systems
• Build, maintain, and optimize RESTful APIs to connect backend logic, AI services, and frontend interfaces
• Implement responsive, component-based React user interfaces that expose AI-driven features to end users
• Partner with Cloud Engineers to manage deployment setups, runtime architectures, environments, and CI/CD pipelines on AWS
• Establish code quality, security, observability, scalability, and technical standards across the full stack
• Collaborate with Data Scientists, AI Engineers, Cloud Engineers, and Product Owners to digitize enterprise procurement processes

Requirements

• 5+ years of professional full-stack development experience using Python and React
• Hands-on proficiency with modern Python web frameworks and RESTful API architecture
• Strong experience with React, state management, custom hooks, API integration, and component-based UI design
• Practical experience building and deploying applications in AWS environments, using Git, and working in agile teams
• Proven ability to translate experimental code and data science notebooks into maintainable, scalable software
• Fluent English communication skills (written and spoken)

Benefits

Not specified.

Nice to Have

• Exposure to AI/ML systems, model-serving components, LLM workflows, or AI output data visualization
• Experience with cloud data platforms like Snowflake or data-intensive pipeline architectures
• Familiarity with Docker, containerization, and automated CI/CD deployment pipelines
• Experience with enterprise integration patterns and SAP-related interfaces (OData, APIs, IDoc, RFC, BAPI)
• Understanding of secure API design, authentication, and enterprise authorization patterns