Python Fullstack Developer

O projekcie:
We are looking for a forward leaning developer to work closely with Product Owners, Solution Architects and Analysts to refine epics, user stories and business requirements into technical design and working software, with high development standards and to implement some of the industry best practices.

To succeed in this role, we believe that a candidate:
- is a team player who enjoys collaboration in a multicultural environment- has a genuine interest to learn and develop within the area- is appreciated for your positive approach and ability to turn challenges in to opportunities- is good at engaging stakeholders at different levels- is a skilled engineer at heart with passion for developing solutions and take pride in seeing your efforts paying off in form of a great business application

Must-have knowledge and experience:
- Advanced knowledge in Python development and configuration- Advanced knowledge of Flask (or similar) frameworks- Advanced knowledge of REST APIs- Intermediate LLM experience- Intermediate Docker experience- Intermediate JavaScript experience- Intermediate knowledge of PostgreSQL and SQLAlchemy- Familiarity with React- Familiarity with CSS and SCSS- Ability to write tests (preferably with pytest)- Experience with CI/CD and creating pipelines- Experience with Git

Nice-to-have knowledge and experience:
- Experience with AI tooling- Familiarity with TypeScript- Familiarity with web components- Familiarity with Redux/Zustand- Experience with SharePoint API- Experience with Artifactory (JFrog)- Experience with Kubernetes- Experience with cloud services (AWS)

Codzienne zadania:
- Key topics in scope include data transformation as well as AI driven data enrichment, where the overall solution objective is to overlook that all parties involved act according to rules and regulations. And importantly, that this is done as efficiently as possible using modern ways of automation, including but not limited to AI.
- This involves building data integrations and data transformation logic, reading from and writing to various databases and APIs, securing data completeness and data reconciliations, building microservices and deployment pipelines, and utilizing LLMs both in the actual solutions (e.g. data enrichment) and for support in your role as developer.