Python
Hire senior Python developers in the US & Canada
Clean Python for services, data work and automation.
Python sits behind web backends, data pipelines, internal tooling and most machine learning work. A strong Python engineer writes code that other people can read a year later, which matters more than it sounds.
We place senior Python developers who have built and maintained production systems in Django, FastAPI and Flask, and who are comfortable crossing into data and automation work when you need it.
What they typically own
- Building and scaling APIs with Django, FastAPI or Flask
- Writing background workers and scheduled jobs that recover from failure
- Automating manual workflows and internal operations
- Upgrading old Python 2 or unsupported-version code safely
- Adding type hints, tests and linting to codebases that lack them
How we vet
What we look for in python engineers
On top of our standard assessment (system design, coding and references), we test the things that matter most for this role.
Idiomatic, readable code
A live exercise looks at structure, naming and tests more than raw speed.
Framework judgement
Candidates explain when they'd reach for Django, FastAPI or a simpler script, and why.
Operational awareness
We ask how they deploy, monitor and debug Python in production, where many strong coders are thin.
Read more in our guide: how to vet a senior engineer.
Questions
Before you hire
Do your Python developers also work on data or ML?
Some do. For specialised data or machine learning work we'd match you with our data engineering or AI/ML engineers instead.
Can you help modernize an old Django application?
Yes. Framework and Python version upgrades are a common engagement, usually done incrementally to avoid a risky rewrite.
Other roles we place
Ready to meet python engineers?
Tell us about your stack and timeline. We'll introduce engineers who fit, and reply within one business day.