Python Backend Developer

Technologies we use

About the project

Your responsibilities

• Design, develop, and maintain backend services and APIs using Python
• Build and evolve RESTful APIs supporting frontend functionality and system integrations
• Implement reliable, scalable, and maintainable backend business logic
• Contribute to the backend architecture and technical design decisions
• Integrate backend services with external systems and enterprise applications
• Support data-intensive processing and backend workflows
• Collaborate with Cloud Engineers on deployment setup, runtime architecture, environment configuration, and CI/CD
• Work closely with Frontend Developers on API design, contracts, and integration flows
• Contribute to AI-driven and data-intensive application workflows
• Ensure backend components meet requirements for security, observability, scalability, and operational supportability
• Participate in testing, troubleshooting, performance optimization, and continuous improvement
• Work with Git and follow Agile software development practices
• Collaborate with AI Engineers, Data Scientists, Product Owners, Cloud Engineers, and Frontend Developers

Our requirements

• 3–5 years of professional experience in backend development with Python
• Strong hands-on experience with a modern Python web framework, ideally FastAPI
• Strong experience designing, building, and maintaining REST APIs
• Practical experience working with AWS and cloud-based application environments
• Good understanding of backend architecture and system integration patterns
• Good knowledge of interface and API design
• Experience with Git and Agile software development practices
• Understanding of secure, scalable, and maintainable backend development
• Excellent communication skills in English
• Ability to work effectively in a cross-functional international team

Optional

• Experience with data pipelines or data-intensive applications
• Exposure to AI/ML-oriented systems, including inference endpoints or model-serving components
• Experience with Snowflake or similar cloud data platforms
• Familiarity with SAP-related interfaces or enterprise integration technologies such as OData, APIs, IDoc, RFC, or BAPI
• Experience with Docker and containerized application delivery
• Experience with CI/CD pipelines and automated deployment practices
• Knowledge of secure API design, authentication, and authorization patterns
• Experience collaborating with Data Science teams and integrating ML models or inference endpoints

What we offer

• Hybrid working model with 2 days per week in the office
• Full-time cooperation agreement based on B2B
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance
• Opportunity to work on innovative AI-powered solutions in an international IT environment

Benefits