Remote Python developer work from Canada, on US teams
What US teams look for in a Python engineer, how working their hours from Canada plays out and how the Ryz Labs process works.
By the Ryz Labs team · Updated October 2026
Ryz Labs places senior Python developers on US companies’ teams. You work remotely from Canada, on US business hours, with the same tools, meetings and leads as the rest of the team.
What the work is like
You join the engineering team of a US company and report to its technical leads. You take part in stand-ups, code reviews, planning and demos like anyone else on the team. Ryz works with Fortune 500 engineering teams and with fast-growing companies.
How your day lines up with a US team depends on your province:
- Ontario and Quebec (Eastern Time): the same clock as New York.
- Atlantic Canada: one hour ahead of New York in Nova Scotia, New Brunswick and PEI.
- Manitoba (Central Time): the same clock as Chicago; Saskatchewan matches Chicago in winter and Denver in summer.
- Alberta (Mountain Time): two hours behind New York.
- British Columbia (Pacific Time): the same clock as California.
Strong written communication matters too. Much of the work is asynchronous, so good pull request descriptions, design notes and Slack updates save the whole team time.
What US teams look for in a Python developer
Python shows up in Django and FastAPI backends, in data pipelines and, more and more, in products that use AI. Teams want someone who writes maintainable code and gets it to production.
- FastAPI or Django: well-designed APIs, authentication, permissions and versioning.
- Concurrency: asyncio, queues with Celery or RQ, and an eye for bottlenecks.
- Data: strong SQL, PostgreSQL, SQLAlchemy or the Django ORM, and safe migrations.
- Quality: pytest, type hints with mypy or pyright, and demanding code reviews.
- Cloud: Docker, CI/CD and AWS or GCP services in production.
- Applied AI: LLM integration, RAG and output evaluation, increasingly in demand.
Ryz also builds AI pods that ship production AI for US companies. Engineers with this stack often find a natural place on those teams.
Before your interviews
Before your interviews, have clear answers on topics like these:
- Designing an API with FastAPI or Django REST Framework, end to end.
- The differences between threads, processes and asyncio.
- Avoiding N+1 queries and tuning database access.
- Testing code that depends on external services.
How the selection process works
- Apply. You apply through the Join the team page with your experience and main stack.
- AI-assisted technical interview. A structured technical conversation about your real experience. People make the decisions, not the AI.
- Interviews with Ryz recruiters. They go deeper into your experience, how you work and how you communicate.
- Introduction to the team. When a team matches your profile, we introduce you. The last step is a final interview with that team.
It is a demanding process. Of the tens of thousands of engineers we interview, only the top 1% join a team.
Who we look for
- Senior experience with Python, with systems in production.
- Clear, confident spoken and written English for daily teamwork.
- Based in Canada and available during US business hours.
- Ownership: taking an ambiguous problem all the way to production.
- Comfort with asynchronous work across time zones.
Join the team
Ready to work with a US team?
Apply through our Join the team page and tell us about the systems you have shipped.
Join the team →FAQ
Is Python a way into an AI pod?
Yes. Python is the main language in Ryz AI pods, which build production AI for US companies. Experience with LLMs, RAG and evaluations counts for a lot.
Django or FastAPI?
Both come up. What matters is knowing one deeply and understanding the fundamentals: ORM, migrations, authentication, async APIs and testing.
Can I apply with experience in more than one stack?
Yes. Many engineers know several technologies well. In the interviews we go deep on what you know best and what you have shipped.
What does Ryz Labs do?
Ryz Labs places senior engineers and AI pods on US companies’ teams. Founded in 2021, it is headquartered in Calabasas, California (Los Angeles area), and has more than 200 people.
How is AI used in the selection process?
One stage is an AI-assisted technical interview. It structures the process, but people make the decisions: Ryz recruiters review every profile.
How long does the process take?
It depends on your profile and on which teams are growing at the time. The stages are always the same, and you will know where you stand.
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