Hire Lead Python Developers
Python spans several genuinely different jobs - web backends, data pipelines, automation and ML tooling - and the skill overlap between them is smaller than the shared language suggests. A Django API developer and a Spark pipeline engineer both list "Python" and are not interchangeable. Specify which one you are hiring.
Skills to screen for
Must have5
- Python 3 idioms, typing and packaging
- A web framework (Django, FastAPI or Flask) or a data stack
- SQL and ORM query performance
- Testing with pytest
- Virtual environments and dependency management
Useful to have4
- Async Python
- Celery or task queues
- Pandas / NumPy
- Docker
Experience levels and what to expect
CTC ranges are advertised figures from live listings on betterjobs.in, not survey data. Actual offers vary with location, funding stage and interview performance.
| Level | Experience | Scope | Typical CTC |
|---|---|---|---|
| Lead / Principal | 9+ years | Owns platform architecture across Python services. | ₹40-70 L |
What this role owns
- Build and maintain services or data pipelines
- Write tested, typed, reviewable Python
- Optimise database access and batch job runtime
- Package and deploy applications reproducibly
What actually separates a good hire here
Ask how they would speed up a script that takes four hours. The useful answer starts with profiling to find where the time actually goes. A candidate who immediately proposes multiprocessing is guessing.
The common mistake
Treating "Python developer" as one talent pool. Web, data and ML Python candidates apply to the same posting and most will be wrong for it.
Questions worth asking in a first screen
- 1How do you find the slow part of a slow Python program?
- 2When is async Python the wrong choice?
- 3How do you make a data pipeline safe to re-run after a partial failure?