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Infinity Quest

Software Engineer / Python

Infinity Quest
Germany · Contract · Mid-Senior
Role: Software Engineer / Python Location: Munich, Germany Secondary location: We can try for Barcelona, Spain 6 months extendable contract Working model

  • Hybrid
  • 2 days per week to office We build the tooling that gets pathology data from a scanner into a GMP-regulated AI pipeline de-identification, quality checks, dataset management, metadata handling for whole slide images at tens of thousands of pixels per side. The work is Python- heavy, scientifically grounded, and deliberately unglamorous: CLI tools, data validation, lightweight UIs, and pipelines that have to be correct. If you ve built tools to solve real problems in a quantitative field, you ll recognize this kind of work. The role You ll work embedded with a small computational pathology team, picking up tasks day-to-day as a remote contractor. The work spans the full tool lifecycle: gathering requirements from scientists and pathologists, designing and building the solution, writing tests, and maintaining what you ship. Concretely, you ll be working on things like:
  • Data ingestion and metadata pipelines for whole slide images
  • De-identification and integrity checking of WSI files
  • Dataset splitting and stratification tools
  • Lightweight review and management UIs
  • CI, packaging, and test coverage for the above This is not a backend or frontend role. There s no microservice architecture to maintain. The problems are scientific and data-oriented; the solutions are focused,deployable Python tools. We integrate AI assistance heavily into our development workflow from requirements exploration to code review. Comfort working alongside AI tooling is a plus; experience shaping how a team uses it is even better. What we re looking for Essential
  • 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) The archetype we re hiring Your background might be biology, physics, engineering, or another quantitative field you learned to code because you needed to, got good at it, and kept going. You re more comfortable with a messy CSV and a domain problem than with a Kubernetes manifest. Classical CS background is absolutely fine too, but the domain orientation matters more than the degree

Key Skills

Ranked by relevance

python ai data warehousing kubernetes streamlit embedded ui
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Country Guide

Germany

Strong tech sector & EU Blue Card visa

Posted
Jul 10, 2026
Type
Contract
Level
Mid-Senior
Location
Munich
Company
Infinity Quest

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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