Backend
Hire Python Developers
Python engineers who build typed, tested services rather than scripts that grew into one.
Python earns its place where business logic is intricate enough to be worth expressing clearly. Sazinga Quote runs a formula pricing engine on FastAPI, and Field synchronises offline data from sales representatives who spend their day out of signal — both are cases where readable rules and strong typing matter more than raw request throughput.
When hiring, the fastest filter is types and async. Ask what mypy told them about their last codebase, how they handled a blocking library inside an async service, and how their migrations run in deployment. Anyone who describes Python as a scripting language is usually describing their own experience of it rather than the language.
What these engineers do
- FastAPI and Pydantic v2 with typed schemas and a generated OpenAPI contract
- SQLAlchemy 2.0, Alembic migrations and query performance held under load
- Async Python done properly - concurrency limits, pooling and blocking call audits
- Celery or ARQ workers for scheduled and long-running work
- pytest with real fixtures, plus mypy or Pyright enforced in CI
Delivered AI-first
AI assistance is used to generate Pydantic models and endpoint scaffolding from a schema, to write test fixtures and parametrised test cases, and to add type annotations to untyped legacy modules ahead of a refactor. Async correctness is deliberately kept as human work, because a blocking call inside an async handler passes every test and then falls over under concurrency. Review discipline is unchanged. The measurable effect is throughput per engineer, not fewer reviews.
Built with Python at Sazinga
These are our own production applications, not client references — which is why the engineers have operated them, not just written them.