South helps growing companies find, hire, and pay top Latin American talent. Build high-performing teams in 21 days or less.
.svg){kind=logo}
A Python Developer designs, builds, tests, and maintains software written primarily in Python.
Their responsibilities vary considerably because Python appears across backend development, automation, data, and AI.
A backend-focused Python Developer may spend most of their time building APIs and application logic.
A data-oriented Python Developer may work more heavily with pipelines, processing, and integrations.
Typical Python Developer responsibilities include:
The title covers a broad range of work.
A Python Developer building Django SaaS products requires a different background from someone building ML services with FastAPI or data pipelines with Airflow.
Define the workload first, then hire the Python specialization that matches it.
A dedicated Python Developer becomes valuable when Python is already central to your technical stack or when its ecosystem clearly fits what your team is building.
If your product uses Django, FastAPI, Flask, or another Python backend framework, hiring someone with direct production experience can help you move faster while keeping the application maintainable.
Front-end developers may be waiting for:
A dedicated Python Developer can add backend capacity and reduce that bottleneck.
Python can be a strong fit for services that connect multiple internal or external systems.
A developer may take ownership of:
Operations teams often identify recurring tasks that can be automated through relatively lightweight Python applications or scripts.
If automation is becoming an ongoing engineering function, dedicated ownership can create more reliable systems than a growing collection of one-off scripts.
Many AI applications use Python around model APIs, retrieval systems, embeddings, evaluation, data processing, and backend services.
A Python Developer with relevant AI infrastructure experience can connect those components to your product.
Python often sits between APIs, pipelines, warehouses, and analytical systems.
A developer with data experience can support integrations and processing workflows while collaborating with Data Engineers and analysts.
Common symptoms include:
A senior Python Developer can gradually improve architecture while continuing to ship.
Performance problems may come from:
An experienced developer can profile the application and target the actual bottleneck.
Teams building higher-concurrency APIs may adopt FastAPI and asynchronous Python patterns.
A developer with direct async experience can help avoid designs that look asynchronous while still blocking important workloads.
The right qualifications depend heavily on what you're hiring the developer to build.
Still, several fundamentals matter across most production Python roles.
Candidates should understand the language beyond basic syntax.
Evaluate knowledge of:
Strong fundamentals make it easier for developers to move between frameworks.
Match framework requirements to your stack.
Django can be valuable for full-featured web applications.
FastAPI is particularly relevant for modern APIs and async-oriented services.
Flask provides a lightweight approach that gives teams more architectural flexibility.
Candidates building backend systems should be comfortable with:
GraphQL may also be relevant depending on your architecture.
Python Developers frequently work with:
They should understand queries, indexes, transactions, data modeling, and the database access layer used by your framework.
ORM experience can help developers work efficiently with relational databases.
Strong developers should also understand enough SQL to identify when ORM-generated queries become inefficient.
Candidates should know how to test production software.
Useful experience includes:
Ask how they decide what to test instead of simply checking whether pytest appears on their résumé.
For API-heavy or I/O-intensive applications, evaluate understanding of:
asyncawaitAsync should be required when the architecture genuinely needs it.
Applications may use Celery, RQ, cloud queues, or other systems for work that doesn't belong inside a synchronous request.
Relevant use cases include:
Candidates should be comfortable with:
Docker experience is useful for creating consistent development and production environments.
Depending on your stack, evaluate experience with:
Backend developers may work with containers, serverless services, object storage, databases, queues, monitoring, and deployment systems.
Python Developers should understand how code moves from a pull request into production.
Relevant tools may include:
Modern Python projects increasingly use typing to improve maintainability.
Candidates should understand how annotations can make APIs between modules clearer and support static-analysis tools.
Senior candidates should be able to discuss:
Backend developers should understand common security concerns around:
Python Developers regularly work with Product Managers, Front-End Developers, QA Engineers, DevOps teams, and other stakeholders.
Strong communication becomes especially important when backend decisions affect several parts of the product.
Python Developer compensation depends on seniority, specialization, framework experience, cloud expertise, and system complexity.
South's current benchmark lists an average U.S. salary of approximately $11,700 per month and an all-in monthly rate of approximately $6,200 for Latin American talent.
That's potential savings of approximately 47%.
Your actual rate will depend on the developer you need.
Junior Python Developers can contribute to:
They work best when experienced engineers can provide architecture guidance and code review.
Mid-level developers can typically own complete backend features.
They may handle:
Senior developers can own larger technical decisions.
They may:
Python expertise can branch into several specializations.
Examples include:
A general Python résumé doesn't automatically demonstrate expertise in all of these areas.
A Python Developer interview should test Python fundamentals, software design, debugging, database knowledge, APIs, testing, and production judgment.
The practical scenarios should match what they'll build after joining.
Ask:
Walk me through the most complex Python system you've worked on.
Then ask:
This usually reveals much more than syntax trivia.
Ask practical questions about:
Ask candidates to explain when they would use each concept.
Give them a scenario:
Design an API for creating and processing customer orders.
Ask about:
Ask:
An API endpoint that used to respond in 100 ms now takes three seconds. How would you investigate it?
Strong candidates may examine:
Ask:
When does async Python improve an application, and when does it add complexity without much benefit?
Strong candidates should connect async with I/O-heavy workloads rather than treating it as a universal performance solution.
Ask:
How would you test a payment-processing endpoint?
Look for different layers:
Ask:
A report takes two minutes to generate. How would you design the workflow?
The candidate may discuss queues, background workers, status tracking, retries, and notifications.
Ask:
A production worker's memory usage grows throughout the day. How would you investigate it?
You want a structured diagnostic approach rather than guesses.
Ask:
When would you choose Django, FastAPI, or Flask?
Strong candidates should connect their choice to product requirements and team needs.
A short Python exercise can evaluate real coding ability.
For example:
Build an API endpoint that:
Keep the exercise aligned with the actual role.
Useful questions include:
Choose questions based on the specialization.
A Django SaaS Developer shouldn't have the same interview as someone building Python-based AI infrastructure.
A Backend Developer describes a broader professional category.
They may work with:
A Python Developer is more specifically centered on Python and its ecosystem.
Hire a Backend Developer when language flexibility matters.
Hire a Python Developer when Python already defines a significant part of your architecture or when its libraries are important to what you're building.
A Python Developer can work across several Python frameworks and use cases.
A Django Developer specializes more deeply in Django.
That may include:
If your application is deeply built around Django, dedicated Django experience may deserve additional weight.
If the developer needs to work across Python services, automation, APIs, and frameworks, a broader Python Developer profile may fit better.
Both roles can use Python extensively.
A Data Engineer focuses more heavily on:
A Python Developer generally focuses more heavily on:
Hire based on the system the person needs to own rather than the programming language alone.
A Python Developer may support AI-powered products by creating APIs, backend services, integrations, and data-processing systems.
A Machine Learning Engineer typically goes deeper into:
If the core challenge is building the application around a model, a Python Developer may be enough.
If the core challenge is building, training, and operating the models themselves, prioritize ML expertise.
South helps U.S. companies find Python Developers across Latin America based on the frameworks, architecture, product, and technical responsibilities involved.
Start with the work.
Consider:
A Python Developer supporting a mature Django SaaS platform may need a very different background from one building FastAPI services around AI models.
South identifies Python Developers across Latin America whose backgrounds align with your requirements.
Evaluation can include:
You receive a focused selection of candidates instead of sorting through a large volume of generic applications.
Compare their:
Your engineering team meets the candidates you want to consider.
Use practical Python scenarios, API discussions, database problems, debugging exercises, and examples from your architecture to understand how each candidate thinks.
You make the final hiring decision and manage the Python Developer as part of your team.
South provides one consolidated monthly invoice covering your teammate's compensation and South's service.
There are no minimum commitments, and South offers a free replacement if you need to make a change.
Python development involves frequent collaboration with:
Latin America's overlap with U.S. business hours supports:
Companies can access Python Developers throughout Latin America with experience across SaaS, fintech, data, AI, e-commerce, automation, and other software environments while keeping development closely aligned with U.S. teams.
A Python Developer builds and maintains applications, backend services, APIs, integrations, automation, and other software using Python.
Their exact responsibilities depend on whether the role focuses on web development, data, automation, AI, or another specialization.
Compensation depends on experience and specialization.
South's current main calculator lists an all-in monthly rate of approximately $6,200 for Latin American Python talent compared with an average U.S. salary of around $11,700 per month.
Look for strong Python fundamentals, relevant framework experience, API development, databases, testing, debugging, Git, and production software experience.
Async, cloud, Docker, data, or AI experience may also matter depending on your application.
Only if your application uses Django or the role calls for it.
FastAPI or Flask may be more relevant in other environments.
Match framework experience to the actual stack.
Backend Python Developers frequently work with relational databases, so practical SQL knowledge can be highly valuable even when they use an ORM.
It depends on the team.
Developers who own services through production may benefit from AWS, Azure, GCP, Docker, CI/CD, and monitoring experience.
Both may use Python heavily.
Python Developers typically focus more on applications and backend systems, while Data Engineers focus more on pipelines, warehouses, transformations, and data infrastructure.
Consider hiring one when Python is central to your backend or technical stack, APIs and integrations are becoming a bottleneck, you're expanding automation or AI functionality, or your existing Python codebase needs stronger dedicated ownership.
Yes. Latin America has Python Developers with experience across Django, FastAPI, Flask, PostgreSQL, AWS, Docker, data engineering, AI, and other modern technologies, with working hours that can align closely with U.S. engineering teams.
The right Python Developer brings more than familiarity with the language. They understand how to turn Python's flexibility into production software that stays reliable, testable, and maintainable as the product grows.
South helps U.S. companies find pre-vetted Python Developers across Latin America based on Python depth, framework experience, architecture skills, product background, seniority, and communication.
Schedule a free call and find your next Python Developer in Latin America with South.
The region has the perfect mix of everything you want in remote employees: English skills, shared time zones, hard-working, and depth of talent. They are already accustomed to working remotely for top US startups and Fortune 500 companies.
Absolutely! The US and Latin America have basically the same time zones. No Latin American city is more than two hours ahead of EST.
Every hire is sourced based on your exact needs. They will arrive ready to support your business right away. They can do basically any tasks done remotely, but we recommend starting them as support so your team has more bandwidth for high-value strategic tasks.
All types of roles - customer service, executive assistant, sales, accounting, email marketing, lead generation, content writers, operations, social media marketing, and more!
You can pay directly through us (most popular) or we can connect you with one of our payroll partners.
You don't have to deal with any American labor laws / taxes when hiring full-time remote contractors. They aren't US-based, so no visas or sponsorships to deal with either.
Pricing is one flat monthly rate per hire. The rate includes your teammate's compensation and South's service in a single consolidated invoice. It covers sourcing, vetting, payroll, compliance, ongoing support, and a free replacement if you ever need one. Rates vary by role and seniority. See our savings by role page for typical ranges, then we'll confirm an exact rate for your role.
There are no cancellation fees or minimum commitments, and you only pay if you make a hire.
Yes, we only recruit for full-time and we strongly recommend full-time hiring if you can. Stability (full-time & long-term) is highly sought after abroad. The top caliber candidates are only looking for full-time work.
You're also going to spend time training and getting them up to speed on your processes. It would be a waste to do that over and over again with new people all the time.
We recommend training new hires on one thing at a time.
For example, once they get up to speed on lead generation, you can add the next role writing blog posts or whatever you'd like. You can definitely overlap roles until you have enough work for multiple people.
The cost of living is much less in Latin American countries. Many of our employees are able to own homes, raise families, provide for their parents, and have in-home help of their own with their salaries.
If you aren't happy with your hire in the first 120 days, we will work with you to conduct a second round of search for the same role for free.
Just email us at Hello@HireInSouth.com and we will get back to you with an answer as soon as possible.
