Hire Python developers expertly trained on AI and product thinking
Hire dedicated Python developers from a staffing partner founded by a four-time tech CEO who has shipped Python in production across three companies. We have placed hundreds of senior Django, FastAPI, and serverless Python engineers in the Philippines. Every engineer on the bench is pre-vetted, full-time, and ready to start in 7 days.
from fastapi import APIRouter, Depends
from .schemas import OrderIn, OrderOut
from .service import OrderService
router = APIRouter(prefix="/orders")
@router.post("", response_model=OrderOut)
async def create_order(
payload: OrderIn,
svc: OrderService = Depends(),
) -> OrderOut:
return await svc.create(payload)Python teams trusted by enterprises, scale-ups, and Fortune 500s
Previously founded VinSolutions ($150M+ exit) and Stackify
I have been shipping Python in production for fifteen years
I started my career as a developer in the early 2000s, and Python has been part of every engineering org I have built since. At Stackify, the APM and logging platform I founded, we built and supported a Python agent that instrumented production Python applications for thousands of engineering teams. The pattern I saw over and over with that data in front of me: most production Python performance problems are ORM mistakes, not Python being slow. I have hired and managed Python developers across four companies, and I know what separates a real Python engineer from someone who picked it up over the weekend.
Full Scale is a Python development company built around senior Filipino developers and the Product Driven framework. We have hired hundreds of Python engineers in the Philippines over the years, we test them on real architecture problems rather than syntax quizzes, and we have built dedicated Python teams for fast growing SaaS companies and enterprise clients. For builds where the entire engagement is a subscription product, see our SaaS engineering services. If you are serious about hiring offshore Python developers who can actually build things, you are in the right place.
AI-powered Python engineers, trained on Product Driven principles
Most Python teams adopting AI are shipping more code without shipping better software. The slop volume climbs, production bugs follow, and engineers whose only skill is typing faster end up costing more in cleanup than they save in keystrokes.
Full Scale Python developers are trained on something different: the Product Driven approach from Matt's book, combined with the full modern AI toolkit (GitHub Copilot, Claude, Cursor). They think first, type second, and use AI for the parts where judgment doesn't add value. That combination is rare, and it is what you should be looking for when you hire Python developers in 2026. Python is also where most AI work lives, so when the project is squarely on the AI side you can hire AI developers from the same vetted bench.
Product Driven engineering
Our engineers are trained on the five pillars from Matt's book: Vision, Focus, Clarity, Ownership, and Courage. The result is developers who push back on bad product decisions, ask whether a ticket should exist before writing it, and own the outcome of what ships. They are not order takers.
Read Product Driven, the bookAI as a thinking partner
Every Python engineer on our bench works with GitHub Copilot, Claude, and Cursor every day. They use AI to explore options, scaffold the boring parts, generate test suites, and review their own pull requests before a human ever sees them. Judgment stays with the engineer, the grunt work moves to the machine.
AI without product thinking is just a slop machine, and the Python engineers I want on my team don't get caught by that. They reason about the system before they reach for Copilot, and they use AI for the parts where judgment doesn't matter. That's who we hire and train at Full Scale.
Dedicated Python developers, starting at $35 an hour
When you hire Python developers through Full Scale, that rate covers a senior engineer in the Philippines working full-time on your project, with payroll, benefits, HR, and equipment all handled by us. The same role hired locally in the US costs $150K to $195K a year. The math is what drives most of our clients to call.
- Full-time, dedicated Python engineer
- Pre-vetted by senior Python reviewers
- Works your hours, your tools, your codebase
- Payroll, HR, equipment, benefits handled by us
- US-based account manager you can escalate to
- 30-day replacement guarantee if it isn't a fit
Full Scale has made the Inc. 5000 four years in a row and is Great Place to Work certified. We have been doing this since 2018, and pricing isn't the only reason clients stay with our Python development company, it's the easiest reason to call.
The reason offshore Python works here
You can also hire dedicated developers in the Philippines across every other stack we staff, with the same vetting bar, retention numbers, and engagement model that Python clients get.
English-fluent by default
The Philippines is the third-largest English-speaking country in the world. Standups, code reviews, and customer calls work the way they do with any US team member.
Real time-zone overlap
Most of our Python engineers work US business hours with 4-8 hours of real-time overlap with East and West Coast teams, so decisions happen live during shared hours rather than crawling through 24-hour async handoffs.
Deep engineering talent pool
Cebu and Manila produce tens of thousands of CS and IT graduates a year. Python is the most-taught language at the country's top engineering programs, which feeds straight into the bench.
Cultural alignment with US teams
Filipino engineers grow up on US business norms, US TV, and US tech culture, so agile rituals, direct feedback, and collaborative workflows feel familiar from day one. These teams integrate fast rather than needing constant management.
Writing Python is not the same as knowing Python
Anyone who finished a tutorial can write Python. Building a production Python system that holds up under real traffic requires a different bench entirely. When you hire Python developers offshore, this is the gap that decides whether the project ships. Here is what we test for, and what most offshore staffing companies skip.
Architecture knowledge, not just syntax
Junior developers ship endpoints. Senior Python engineers reason about service boundaries, dependency injection, domain modeling, and when an async pattern actually earns its complexity.
ORMs that don't melt your database
We test for the N+1 query problem in Django ORM and SQLAlchemy. That means knowing when to drop into raw SQL, and when select_related, prefetch_related, and connection pooling actually earn their place. Bad ORM code is the single most common Python performance bug we see in production.
Serverless beyond "deploy a Lambda"
Real serverless Python work covers cold start tuning, IAM scoping, and idempotency. It also covers the harder parts: layer packaging, EventBridge wiring, and end-to-end observability. The bench is stocked with engineers who can read a CloudWatch log and know where to look in X-Ray when a Lambda misbehaves under load.
Async Python done correctly
Asyncio, FastAPI, Celery, and event-driven Python all live and die on knowing when to use them. We test for engineers who can reason about the GIL and decide when async actually helps, when threading is the right call, and when to leave both alone. The deadlock that only shows up at production load is the one we screen for.
Security and authentication done right
Real security work in Python covers Django auth, FastAPI dependency-based auth, OAuth flows, JWT validation, OWASP basics, and secrets management. It isn't a checklist exercise, so we test for engineers who understand the actual attack surface of a production Python application.
Production debugging skills
A senior Python engineer should be able to read a flame graph, profile a hot path with cProfile or py-spy, and walk through a memory leak using tracemalloc. Most offshore Python developers have never touched these tools.
Hire dedicated Python developers for the work that actually matters
Most Python hiring conversations skip past the actual project. What kind of Python work do you need done? Greenfield custom Python development, a Django build, a FastAPI service, a serverless migration, a performance fix that has been open for six months? As a Python development company that bills for engineering hours rather than fixed-bid projects, our developers ship across all of it. Here are the Python development services we get hired for most often.
Custom Python application development
Custom Python development means greenfield builds on Django, FastAPI, or Flask, using modern patterns like service layers, Pydantic models, dependency injection, and typed Python. We start with a real domain model rather than a CRUD scaffold, so the resulting codebase survives the first 18 months without a rewrite.
Read our Python outsourcing guideDjango web application development
Django web work covers multi-tenant SaaS, admin tooling, role-based access, audit logging, and the unglamorous reporting that enterprise software lives or dies on. We have shipped Django at every scale, from seed-stage MVPs to platforms serving millions of users.
Hire Django developersPython API development & system integration
We build REST APIs with FastAPI and Django REST Framework, gRPC for internal services, and contract testing in CI. Third-party integrations get circuit breakers, proper retry logic, and idempotency keys, which gives you an API layer your downstream consumers don't curse at.
Hire API developersServerless Python on AWS, GCP, and Azure
We build serverless Python on Lambda, Cloud Functions, and Azure Functions, using Terraform or SAM for infrastructure, EventBridge or Pub/Sub for orchestration, and structured observability for production debugging. That is the full serverless stack, with no "we deployed a Lambda" shortcuts.
Python automation and internal tooling
A lot of real Python work is automation: ETL glue, internal tooling, scripts that move data between systems, and the workflow engines that keep operations running. Our engineers ship Airflow DAGs, Prefect flows, and the unsung Python services that power how a company actually runs.
Python performance & debugging
Our Python performance work covers py-spy and cProfile for hot-path profiling, tracemalloc for memory leaks, async deadlock investigation, and production debugging when things get weird. These are skills most offshore Python shops have never developed, so hire us when your application is slow and nobody knows why.
Eight Python specializations, one staffing partner
Most Python teams need more than one role. Hire dedicated Django developers, senior FastAPI engineers, serverless Python specialists, and Python DevOps from a single vetted bench. The same bench staffs dedicated backend engineers across Node, Java, .NET, PHP, Ruby, and Go when a project spans more than one stack. When the Python service is sitting on a real database, you can also hire dedicated PostgreSQL developers who own the schema, the indexes, and the migration work independently of the application engineers. Mix and match seniorities as the project requires.
Backend Python Engineers
Senior backend devs handle the API layer, business logic, and data access for your application. They work fluently in Django, FastAPI, Flask, SQLAlchemy, and Pydantic.
Full-Stack Python Developers
End-to-end engineers pair Python on the backend with React, Vue, or HTMX on the front. They ship features from the database to the UI without handoffs to a separate team.
Django Developers
Engineers in this specialization design Django apps from the model layer up: admin, ORM, middleware, signals, and Django REST Framework. They have shipped multi-tenant Django at production scale.
Serverless & Cloud Python Engineers
Serverless specialists own Lambda, Cloud Functions, EventBridge, API Gateway, and Step Functions end-to-end. They write the Terraform too.
Python DevOps Engineers
DevOps work on these teams covers CI/CD on GitHub Actions, containerization with Docker, infrastructure as code, and observability. They make Python releases boring in the good way.
Performance & Security Engineers
When production gets weird, these are the engineers you call. They run py-spy, cProfile, and tracemalloc investigations alongside async audits, OWASP reviews, and identity and secrets hardening.
Python Data Engineers
Data engineers ship ETL pipelines and the workflows around them. They are fluent in Airflow, Prefect, Pandas, and the SQL that makes the pipeline actually correct.
Python QA & SDET
Our automation engineers write tests in pytest, hypothesis, Playwright, and locust against Django and FastAPI services. They build the test pyramid you wish you had.
Python expertise tuned to your industry
As a Python development company that has been around for over a decade, we have placed dedicated Python developers into nearly every industry that runs production Python. Domain knowledge cuts onboarding time in half, so we match developers to projects where they have already shipped real code.
SaaS & Scale-ups
B2B SaaS on Python is our home turf, with engineers who have shipped multi-tenant Django, subscription billing on Stripe, role-based access, and white-label theming. They have worked on Python SaaS at every scale, from seed-stage to public companies.
From FastAPI services to Django monoliths and serverless Python
Whether you want to hire Django developers for a greenfield web application, hire FastAPI engineers for a high-throughput API, or outsource Python development on a legacy Flask system, the bench covers every layer of the modern Python stack. Pick what you need. We will match a Python programmer fluent in it.
Hire dedicated Python developers, two ways
Most clients start with a single dedicated Python developer and grow into a full team. Either way, you get full-time engineers who sit on your standups, work your hours, and ship code against your roadmap. Both options are staff augmentation at the core: dedicated, long-term engineers embedded in your team rather than freelancers, shared resources, or a project shop on the side. See the full breakdown of how we hire dedicated Python developers across every engagement we staff. When a single hire should ship both the Python API and the frontend, you can hire offshore full stack developers from the same bench. When a Python service needs to migrate hot paths to a faster runtime, you can also hire Golang developers from the same vetted bench.
Dedicated developer
Full-time, exclusive, sits on your standups.
- Full-time Python engineer assigned only to your project
- Works your hours, your tools, your codebase
- Joins your standups, reports to your tech lead
- We handle payroll, HR, equipment, retention
- Replace within 30 days if it isn't a fit
How to hire a dedicated Python developer from Full Scale
When you hire Python developers through Full Scale, you skip the 3-6 week recruitment cycle and the cold sourcing entirely. Our bench of remote Python developers and Django programmers in the Philippines is already built and vetted, and every step below has a named owner on our side.
Discovery call
30 minutes with our team. We learn your stack, your roadmap, the seniority level you need, and whether you are on Django, FastAPI, Flask, or something else. We don't pitch on the call, we walk through what you actually need from a hire.
Engineer match
We pull 1-3 pre-vetted Python engineers from the bench whose skills, seniority, and prior project experience line up with what you described. You see their full profile and their actual project history.
Technical interview
You interview the candidates the way you would interview any senior hire: live coding, system design, ORM gotchas, and architectural reviews. Pass anyone you don't believe in.
Contract & onboarding
Sign once. We handle every contract, payroll, equipment, and HR detail in the Philippines so you don't have an offshore entity to manage. You just get a developer.
First commit
Your developer joins your standups, gets repo access, and ships code in their first week. Our delivery managers stay involved to make sure ramp-up doesn't stall.
Full Scale vs the other ways to hire Python developers
Every hiring path has trade-offs. Here is how a dedicated Python engineer from our Python development company compares against the alternatives most teams consider first when they want to hire Python developers.
| Feature | Full Scale | Freelancer / Upwork | Traditional offshore agency | US recruiter / FTE hire |
|---|---|---|---|---|
| Pre-vetted senior Python bench | ||||
| Time to first hire | 7 days | 1-3 days | 3-6 weeks | 6-12 weeks |
| Dedicated full-time, not shared | ||||
| Founder-led engineering org | ||||
| Sits on your standups, your tools | ||||
| Long-term retention | 93%+ | low | varies | varies |
| Replace within 30 days if it's not a fit | ||||
| Handles payroll, HR, equipment | ||||
| US-based account management | n/a | |||
| Typical fully-loaded cost vs US | ~40-50% | varies | ~50-65% | 100% |
Real Python engineers, named and vetted
A sample of the engineers we are currently staffing. You'll see real names and real backgrounds during your interview round.
Built and scaled multi-tenant SaaS platforms on Django for fintech and B2B clients. Strong in domain modeling, query optimization, and Celery task design.
Backend-to-frontend feature delivery on FastAPI services and React SPAs. Has shipped end-to-end on three production B2B platforms.
Distributed systems specialist who has led serverless rebuilds of legacy Python monoliths, including a production migration for a high-traffic SaaS platform.
Builds CI/CD for Python teams. Containerization, IaC, blue-green deployments, observability with OpenTelemetry and structured logging.
API-first engineer who has shipped high-throughput Django services for retail and travel. Comfortable trading the ORM for raw SQL when latency matters.
Builds out test pyramids and CI gates for Python teams. Strong on contract testing for distributed services and property-based testing.
Engineer names are anonymized on this page. You'll see real candidates during your interview round.
The numbers behind a Python staffing partner that actually works
From the people we actually staff teams for
Full Scale's development team was pivotal in elevating our facility management software. Their expertise turned complex challenges into seamless functionalities, enhancing user experience and operational efficiency.
With Full Scale's developers, we transformed the commercial real estate landscape. Their team's proficiency in agile development and proactive communication accelerated our product release.
The team at Full Scale brought our vision to life with their development skills. They helped us navigate technical requirements with ease, resulting in a robust platform our users trust.
Deeper guides to Python hiring and development
What is a Python developer?
The role, the responsibilities, and what to test for when hiring.
Python development outsourcing guide
When outsourcing Python is the right call and what to look for in a partner.
Offshore Python development
What actually works when you move Python work offshore, and where it breaks.
Python frameworks vs Python libraries
Clearing up the framework vs library distinction once and for all.
Python developer job description
The job description template that gets you a real shortlist instead of resumes.
Java vs Python
Picking the right stack for a new service, and when the choice matters.
Hiring manual and automated QA
Pytest covers the unit layer. A dedicated QA engineer covers the rest. Hire senior testers who pair with your Python developers on both manual and automated coverage.
Everything you wanted to know about hiring Python developers
Hire a dedicated Python developer who has actually built Python systems before
30-minute discovery call with the Python development company that supplies dedicated developers and custom Python development services from the Philippines. We'll learn what you're building, walk you through which dedicated Python developers, Django programmers, FastAPI engineers, or serverless specialists are on the bench, and you'll meet candidates within a week. You won't get pressure or a sales pitch on the call.