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Netflix

Senior

Own the internal Python 'Paved Path' platform used across Netflix's ML, Data Science, and Animation domains

This role builds Netflix's internal application development platform for Python, evolving it from a supported language into a fully managed, opinionated 'Paved Path' used across Machine Learning, Data Science, and Animation. It demands deep internal Python mechanics knowledge (execution model, dependency resolution, packaging), authoring libraries used across batch/streaming/web contexts, and expertise in frameworks like FastAPI/Flask — plus running large-scale automated refactors across thousands of repos. This is a senior platform-engineering IC role, not application feature work.

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这场面试考什么

  • Deep Python internals: execution model, dependency resolution, packaging
  • Authoring cross-environment libraries (batch, streaming, training, web)
  • Python web framework expertise (FastAPI, Flask)
  • Large-scale, safe automated refactors across many repositories
  • Developer-experience-driven platform design ('paved path')
  • Judicious application of GenAI tools to platform workflows

常见提问方向

Explain the Python execution model and a dependency-resolution problem you've solved at scale

Describe a Python library you built that had to run across batch, streaming, and web contexts

Walk me through an architectural decision you made using FastAPI or Flask

How have you executed a massive, safe code refactor across thousands of repositories?

Tell me about designing a developer platform by working backward from engineers' actual needs

How do you balance adopting new best practices against conservative, risk-aware platform changes?

How have you applied GenAI tools with judgment to improve an engineering workflow?

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