As a Software Engineer in Python/DevOps at Coface's Data Lab, you will work in small teams to design and develop innovative data science and AI-powered solutions. These solutions are deployed on containerized or cloud infrastructures with strong software engineering practices and operational monitoring.
Responsibilities
- Work in pairs or small teams on innovative projects to design and develop solutions deployed on container infrastructures or in the cloud
- Implement production monitoring for deployed solutions
- Participate in code reviews with other team members to share knowledge and ensure code quality
- Propose technical solutions and participate in technology watch
Requirements
- Experience with Python for software engineering in data-intensive environments
- Familiarity with CI/CD pipelines and deployment automation
- Experience with containerization technologies such as Docker and Kubernetes
- Experience with cloud platforms (specific provider not mentioned)
- Understanding of data extraction from databases
- Experience with Apache Airflow for workflow orchestration
- Ability to work in short development lifecycles with operational deployments
Preferred Qualifications
- Experience with ReactJS or Java
- Exposure to Machine Learning and AI technologies
- Experience building APIs and data processing pipelines
- Experience developing user interfaces for AI-powered solutions
- Background in financial modeling, risk scoring, or knowledge graphs
Technical Stack
Python, ReactJS, Java, Docker, Kubernetes, Apache Airflow, Cloud platforms, CI/CD pipelines, Machine Learning models, Transformers, LLMs (Large Language Models), Embeddings, Knowledge graphs
