5+ years of writing and maintaining production code primarily Python. You should be comfortable in a 5K+ line Python codebase, idiomatic with `typing`, `pathlib`,

`subprocess`, `pytest`, and the subtleties of mocking at the import-site vs. the source-site

(this will come up).

- Deep familiarity with Docker, docker-compose, and the Dev Containers specification.

You should be able to read a `devcontainer.json` plus its referenced `docker-compose.yml` and predict exactly which bind-mounts, environment variables, and lifecycle hooks will land inside the resulting container.

- Comfortable across macOS, Linux, and Windows as both a user and a developer.

Cross-platform shell quirks (PowerShell vs. bash, path-separator handling, symlink semantics, NTFS junctions vs. POSIX links) should not be a surprise.
- Robust Git: worktrees, hooks, submodules, the difference between `git rev-parse





--git-common-dir`and`--git-dir`, and exactly what `git add -A` will silently sweep into a commit.

- A working understanding of at least one of: large C++ codebases (CMake/Bazel,

distcc/ccache, NFS-backed build artifacts) or large Java codebases (Maven/Gradle, IDE indexing, build caches). You will not write application code, but you will need to read it and understand why a build is slow inside the container.
- A customer-support mindset. Engineers will ping you in Slack channels with vague

reproductions while they are mid-sprint. You need to be the person who replies calmly, asks the two right diagnostic questions, and ships the fix the same day

📌 Python Development with Git and Docker (Bengaluru)
🏢 Mindteck
📍 Bengaluru