Senior Python Developer developing backend solutions for the Telco industry at Avenga. Responsible for Python development, testing, Docker containerization, and collaboration in AI systems.
Responsibilities
Development and maintenance of the backend in Python (OOP, FastAPI)
Creating automated tests (pytest / unittest)
Application containerization (Docker, Dockerfile)
Working in Unix/Linux and Windows environments
Designing and updating technical documentation (UML)
Working with Git (branching, code review)
Integrating with message-queue systems (RabbitMQ / PubSub)
Working with document-oriented databases (MongoDB)
Implementing solutions based on processes, threads, or asyncio
Collaborating on building ML/NLP models (PyTorch / TensorFlow / Transformers, spaCy / Stanza)
Building LLM-based applications (LangChain / LlamaIndex)
Working in the Google Cloud environment
Creating and maintaining data pipelines (Apache Airflow)
Participating in requirements analysis and solution design
Taking responsibility for the quality and stability of backend components
Collaborating with the team and communicating with non-technical stakeholders
Requirements
Proficiency in Python, including its use for developing software in an object-oriented approach
Creating tests using pytest/unittest frameworks
Ability to containerize applications, create Dockerfiles, and work with Docker
Comfortable working in Unix/Linux and Windows environments
Ability to use UML notation and create documentation for developed software
Confident use of Git
Polish - Native
Minimum 5 years of experience in production projects as a Backend Developer
Participation in at least 3 projects involving backend development using Python
Practical experience with at least five of the following: Working with message-queue systems such as RabbitMQ / PubSub, Working with document-oriented databases such as MongoDB, Using processes/threads/asyncio, FastAPI framework, Knowledge of deep learning tools such as PyTorch / TensorFlow / Transformers, Knowledge of specialized NLP tools such as spaCy / Stanza, Building/training ML models in the NLP domain, Knowledge of LangChain / LlamaIndex for building LLM-based applications, Ability to work in Google Cloud, Knowledge of orchestration tools, e.g., Apache Airflow
Strong communication skills, including the ability to discuss technical aspects with individuals with limited technical background, enabling effective analysis of business processes or user requirements and proposing solutions
Ability to take responsibility for the full lifecycle of the developed component
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