Get Python Developers
Python engineers who've built production systems, not just scripts. They work across web backends, data pipelines, automation, and ML infrastructure.
Senior Python developers in LATAM cost $55-85k annually vs $140-170k in the US. That's a 40-50% savings on a role where depth of experience matters significantly.
Python is the primary teaching language in most LATAM CS programs. Developers here have deep foundational knowledge rather than learning it on the job.
Brazil's fintech and agricultural tech sectors have driven strong data engineering and ML expertise in the LATAM Python community.
LATAM Python developers frequently work on international-facing APIs and data platforms. Integration work and external API design are familiar territory.
UTC-3 to UTC-5 means 4-8 hours of daily overlap with US teams. Enough for standups, architecture discussions, and real-time debugging sessions.
Every candidate completes all five stages before you see their profile. You can also run your own technical round after our screening.
A timed test measuring analytical thinking, pattern recognition, and problem-solving clarity, independent of specific programming language knowledge.
A structured interview assessing communication style, conflict resolution, ownership mindset, and English proficiency in a professional context.
A 90-minute session covering Python's runtime behavior including how the GIL affects threading vs multiprocessing, async patterns with asyncio and when they're the wrong tool, and API design with FastAPI or Django REST. Candidates work through a data processing problem: reading, transforming, and writing structured data with performance considerations. We assess type annotation quality, error handling patterns, and their understanding of when Pydantic validation adds value vs simpler approaches.
Verification of work history, education, and identity with written consent, aligned with applicable privacy rules including LGPD where relevant.
We speak with at least two professional references who worked with the candidate in an engineering context, not personal contacts.
After our screening, you can optionally run your own technical round before making an offer.
Sample profiles
Anonymized profiles from our vetted talent pool. Actual candidates may vary.
Porto Alegre, Brazil
6+ years experience
Bogotá, Colombia
4+ years experience
Buenos Aires, Argentina
8+ years experience
Want to see profiles matched to your specific requirements?
Request matched profilesWhat to expect
Python is easy to write badly and easy to write well. Ours write it well. They handle type safety, testing, and performance without being reminded. They also work fluently in the ML ecosystem, which matters as Python increasingly sits at the intersection of backend and AI workloads.
Cursor and GitHub Copilot for generating Pydantic models, API routes, and test fixtures. They verify the output before committing.
AI-assisted debugging for asyncio race conditions, which are notoriously hard to reproduce manually.
They type-hint everything in Python 3.12+ style and run mypy in CI. Not optional.
Strong technical writing: ADRs for schema decisions, clear docstrings on public APIs, structured README files.
They distinguish between Python as a glue layer vs. a core service and design accordingly.
Junior Python Developer
Mid Python Developer
Senior Python Developer
FAQ
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