Hire Python Developers
Python covers three fairly different jobs — web backends, data pipelines, and model integration — and a developer strong in one is not automatically useful in another. Worth being specific about which you need.
Discuss your projectWhich Python developer you actually need
Django backend
Where the admin interface, authentication and permissions system save weeks of work. The right choice for most business applications, and the largest share of Python web hiring.
FastAPI or async services
Where the job is a clean typed API, high concurrency, or a service other systems call. A different skill set — async behaviour matters here in a way it rarely does in Django.
Data engineering
Pipelines, transformation, warehouse loading. Shares a language with web work and almost nothing else; a strong Django developer is not automatically a data engineer.
AI and model integration
Retrieval systems, extraction pipelines, evaluation harnesses. Covered separately on our AI developers page, because the skill that matters there is not Python.
What to interview for
These are the signals we screen on and they are worth asking yourself, whoever you hire through.
- The N+1 query problem. Ask them to spot it in a Django view and fix it. A developer who cannot explain select_related and prefetch_related has not been responsible for a production database, and this single issue accounts for most Django performance complaints.
- Migrations under pressure. How they would add a non-nullable column to a large table without locking it, and how they would reverse a bad migration. This separates people who have deployed from people who have developed.
- Where business logic belongs. A developer who puts everything in views, or everything in models, has not maintained a codebase past a certain size. There is no single right answer; there is a considered one.
- Async honestly. In FastAPI, what happens if you call a blocking library inside an async endpoint. Many developers list async on a CV and do not know it stalls the event loop.
- Testing. Whether they write tests that exercise behaviour or tests that assert implementation details. Ask what they would not test.
- Type hints and whether they actually run a type checker. Annotations nobody checks are documentation, not safety.
- Dependency hygiene. Whether they pin versions, how they handle a package that is no longer maintained, and whether they have ever been caught by a transitive dependency.
How they work with your team
They join your repository, your standups and your review process, and they are directed by your technical lead rather than by a project manager of ours. We write to your conventions rather than ours — a codebase in two competing styles is harder to maintain than one in a style we would not have picked.
We would rather place someone who is a good fit than fill a seat. If we do not have a suitable person available, we will say so rather than offering the nearest developer on the bench, and if you want to reject every candidate we put forward, that is a normal outcome of a proper interview process.
On timing, a mid-level Python developer is usually available within one to three weeks. We work to a guaranteed overlap with your working day, agreed in writing: our team is in Pakistan at UTC+5, so UK and European hours overlap comfortably, US Eastern overlaps across your morning on an evening shift here, and US Pacific gets a deliberately smaller guaranteed window that we state rather than imply.
Common questions
Related in Staff Augmentation
Tell us what you need
Describe the problem and we will come back with scope, timeline, and a rate. No obligation to proceed.
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