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Senior Full-Stack Python/React.js Developer @ Cortance

Technology
Cortance
Remote, Česká republikapřed 1 týdnyDo 4. 6. 2026
Plný úvazek

Popis pozice

  • Over 5 years of practical experience in full-stack development, with confirmed delivery of production-grade Python-based web applications;
  • Deep expertise in Python backend frameworks - Django, FastAPI, or Flask — including REST API design, authentication, and performance tuning;
  • Strong frontend skills with React component architecture, state management, and integration with backend APIs;
  • Solid experience with relational and non-relational databases - PostgreSQL and MongoDB;
  • Hands-on experience with Docker and Kubernetes - containerising applications and managing deployments in production environments;
  • Strong understanding of software architecture principles - clean code, separation of concerns, and scalable system design;
  • Experience with version control workflows, code review practices, and CI/CD pipelines;
  • English proficiency B2+ - comfortable in written and spoken communication.
Additional Advantages
  • Familiarity with async Python patterns — asyncio, Celery, or task queue systems for background processing;
  • Experience with cloud platforms (AWS, GCP, or Azure) and deploying full-stack applications in cloud-native environments;
  • Background in integrating or developing AI/ML-powered features within web applications;
  • Familiarity with GraphQL or WebSocket-based real-time communication patterns.
Cortance operates across multiple sectors, assisting leading companies in building robust, scalable web applications that support AI-driven products and enterprise platforms. We are seeking a dynamic and experienced Python full-stack developer to join our projects. This is an opportunity to work on exciting initiatives and deliver top-tier, end-to-end web solutions across the full modern stack.

,[] Requirements: Web applications, Python, Django, FastAPI, Flask, REST API, Performance tuning, React, Relational database, MongoDB, Docker, Kubernetes, Clean Code, CD pipelines, Celery, Cloud platform, GCP, Azure, AI, GraphQL

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