Python разработчик

The company provides engineering services and project support for sectors including automotive, railway, and Oil & Gas. It manages specialized engineering teams and competence groups while offering training and certification programs to enhance consultant expertise.

• Design and develop scalable applications and microservices in Python;
• Create and develop backend solutions based on FastAPI;
• Contribute to the architecture of the data platform and components supporting AI solutions;
• Integrate and process data from multiple business sources;
• Optimize application performance and cloud resource utilization;
• Develop APIs and services supporting data analytics and visualization;
• Collaborate with Data Scientists, Data Engineers, and Product Managers to implement advanced analytical solutions;
• Ensure code quality, automate CI/CD processes, and participate in code reviews;
• Support the full software development lifecycle in a regulated environment.

• Commercial experience in Python programming;
• Proficiency in FastAPI and Pydantic;
• Experience using type hints and static code analysis tools (e.g., mypy);
• Experience in designing and developing REST APIs;
• Experience with AWS and cloud services for data and AI solutions;
• Knowledge of SQL and experience working with SQL and NoSQL databases;
• Experience with Pandas and data processing;
• Knowledge of Git, Jenkins, and CI/CD processes;
• Commitment to Clean Code principles and software engineering best practices;
• Ability to collaborate with interdisciplinary teams and translate business requirements into technical solutions;
• Fluent English (C1 level);
• Nice to have: Experience in the pharmaceutical or life sciences industry, knowledge of OpenSearch and vector databases, experience with Amazon Bedrock or LLM-based solutions, knowledge of RedShift, DBT, and modern data platforms, experience with AI, Machine Learning, or Advanced Analytics projects, knowledge of React or Next.js.

• Long-term cooperation;
• Technical training, certifications, and professional development;
• Mentoring through the Competence Center;
• Clear career path;
• Employee benefits package (Multisport, private medical care, life insurance);
• Friendly work atmosphere, integration events, and team-building meetings;
• Referral bonus system.