Ryz Labs/Hire/BackendHire senior Python developers who work in your time zone
Senior Python engineers who build FastAPI and Django services, data pipelines and AI backends inside your repos, during your working day.
By the Ryz Labs team · Updated October 2026
Hiring Python developers through Ryz gets you senior Latin American engineers who write production Python, not scripts that only run on one laptop. They are top 1% of the candidates we interview, they embed in your team and codebase, and they work within an hour of US time zones.
What our Python developers work on
Python runs a lot of different systems, so we match on the kind of Python you write. Our developers work across web frameworks, data tooling and AI libraries, with Postgres, Redis, Celery and cloud services around them. Common work:
- REST and async APIs with FastAPI, Django REST Framework or Flask, typed with Pydantic and documented with OpenAPI.
- Django applications with complex domain models, admin tooling and background jobs in Celery or RQ.
- Backends for AI features: model and LLM API integration, retrieval pipelines and evaluation services.
- Data processing with pandas, Polars and PySpark, orchestrated with Airflow or Dagster.
- Internal platforms and automation: CLIs, integration services and workflow tooling for operations teams.
- Python 2 to 3 migrations, monolith decomposition and performance work on legacy services.
Skills we vet for
- Modern Python. Python 3.11 and later, type hints checked with mypy or Pyright, dataclasses, protocols and pattern matching where it helps.
- Async and concurrency. asyncio, the event loop, when threads or processes beat async, and what the GIL means in practice.
- Web frameworks. FastAPI dependency injection and lifespan, Django ORM performance, migrations and middleware.
- Databases. SQLAlchemy 2.0 or the Django ORM, N+1 detection, transactions, indexing and connection pooling.
- Testing. pytest fixtures, factories, property-based tests with Hypothesis and contract tests for APIs.
- Packaging and tooling. Poetry or uv, Ruff, pre-commit and reproducible Docker images.
- Performance. Profiling with cProfile or py-spy, vectorizing hot loops and knowing when to drop into Rust or C extensions.
- Cloud deployment. Containers on AWS or Azure, serverless functions, queues and observability.
How we vet Python developers
Our recruiters source developers with real production Python behind them and check what they built and owned. Our in-house ARC system ranks the pipeline, and candidates complete structured NTRVSTA AI interviews on Python internals, design and debugging. Recruiters review every candidate before and after that interview and send you a curated shortlist. AI scores are advisory. People make the decisions.
Sample interview topics
- A FastAPI endpoint is slow under load even though each database query is fast. How do you find out whether blocking calls are starving the event loop?
- Explain how the GIL affects a CPU-bound job versus an I/O-bound one, and how Python 3.13's free-threaded build changes the picture.
- A Django page triggers 400 queries. Walk through finding and fixing it with select_related, prefetch_related and annotations.
- Design a Celery job system that processes payments exactly once, even if workers crash mid-task.
- How would you structure a large Python monorepo so teams can share code without import tangles and slow test runs?
Ways to hire Python developers
| Option | Best for | Trade-offs |
|---|
| Freelance marketplace | Scripts, small fixes and short integrations | Python profiles range from data analysts to backend engineers. Vetting and continuity are on you. |
| Staffing or recruiting agency | Filling many roles at once | A resume that says Python tells you little about which kind. Technical depth varies by recruiter. |
| In-house recruiting | Core long-term hires | High demand for senior Python talent means long cycles and costly offers. |
| Ryz Labs staff augmentation | Adding senior Python engineers to your existing team | You manage priorities and code standards. Best with an established codebase and roadmap. |
| Ryz Labs AI pod team | A Python-based AI system built end to end in your cloud | A dedicated pod with a tech lead, ML and backend engineers. Scoped as a team, so it starts with a plan. |
Ryz is not the right fit if you want to browse profiles and book hourly work without a conversation, or if you need engineers based in Europe or Asia. Companies that want developers on their own payroll with benefits should use an employer-of-record partner.
Why hire Python developers from Latin America
Python teams in the region have grown alongside the data and AI work of the past decade, so senior engineers there often bring both web backend and data experience. That mix is useful when your API team and your data team share a codebase and need someone who is comfortable in both.
Working within an hour of US time zones, our Python developers review pull requests while the author is still online, pair on tricky bugs and join your planning sessions live. They work in English and fit into your existing rituals rather than running a separate process.
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FAQ
Do you have Python developers for both web and data work?
Yes. Tell us whether your work centers on FastAPI or Django services, data pipelines or AI backends, and we match on that experience rather than just the language.
Can a Python developer start on an older codebase?
Yes. Many of our engineers have upgraded legacy Python services, added type checking and tests to untested code and broken apart monoliths without stopping feature work.
How much does it cost to hire Python developers?
Custom quote, scoped per team. You get a plan, a price and the names of the people who would do the work before you sign.
How do contracts and time zones work?
You sign one contract with Ryz. Our engineers work with us as independent contractors, and we handle paying them. They work within an hour of US time zones, so they join your standups at your usual time.
Questions we didn't answer? Email info@ryzlabs.com.