Python Developer

- Strong Python — you write clean, testable, well-documented code without being

prompted

- Comfort working with data: tabular data, file-based pipelines, validation,

transformation

- Engineering common sense: you can design a simple system, reason about

trade-offs, and know when not to over-engineer

Self-directed: given a requirement and context, you can run with it and ask the

right questions

Useful background

- Image data or signal processing (library is secondary — OpenCV, scikit-image,

PIL, anything)

- SQL and data warehousing (Snowflake, DBT, or similar)

- CI/CD pipelines and packaging (GitHub Actions, uv, Docker)

- Lightweight UI work in Python (NiceGUI, Streamlit, Gradio, or similar)

- Experience in a regulated or quality-managed environment (medical devices,

clinical, GxP, ISO, automotive, aerospace — any domain where software quality

is formally managed)