For businesses in the US, UK, Australia, Canada and the UAE, Devvista is a software development and growth agency that supplies and manages dedicated Python developers and small Python teams. Engagement is hourly, as a team, or for a fixed-price build.
python.org describes Python as powerful and fast, as playing well with others, as running everywhere and as friendly and easy to learn. Below: what Python developers build, how Python backends compare, what a hire costs, how to check a candidate and how hiring works from your country.
What our Python developers build
Web backends and APIs
The server side of a web or mobile product: accounts, data, business rules and the API that screens call, built so a front-end team can work against it.
Business tools and portals
Internal systems that replace spreadsheets: quotes, jobs, approvals and customer portals, with roles, history and reports.
Data pipelines and reporting
Scheduled jobs that collect data from several systems, clean it and feed a report or a dashboard your team reads.
Automation and integrations
Scripts and services that connect your tools, such as accounting, CRM and e-commerce, and retry when a call fails. See our AI and automation work for larger workflows.
AI features inside a product
Calls to language models, document processing and search inside an app, built with tests and cost limits so the feature stays predictable.
Python, Node.js or PHP for the backend: how to choose
The descriptions come from each project's own site. The last row is our view, and a good developer will tell you when another stack fits better.
| Point | Python with Django | Node.js | PHP with Laravel |
|---|---|---|---|
| What it is | Django is a high-level Python web framework (djangoproject.com) | An asynchronous event-driven JavaScript runtime designed to build scalable network applications (nodejs.org) | Laravel is a batteries-included PHP framework for web applications (laravel.com) |
| Language | Python | JavaScript or TypeScript | PHP |
| Strong fit when | You need data work, automation or AI next to the web app | Your front-end team already writes JavaScript and wants one language | You are extending a PHP product or want a full framework with many built-ins |
| Team check | Does anyone on your side read Python? | Does your team know JavaScript well? | Does your site already run on PHP? |
Our hire Node.js developers and hire Laravel developers pages cover the other two, and the guide to hiring dedicated developers sets out the models. Our TradingSmarter licence platform case study uses Flask and FastAPI.
What it costs and how you can hire
Devvista prices Python developers work as a fixed price from $500 to $100,000 depending on complexity, or hourly from $10 to $100 an hour depending on the type and level of developer. Everything is priced in US dollars.
| Model | Best for | Pricing |
|---|---|---|
| Dedicated Python developer by the hour | Ongoing backend development, maintenance and new features | By developer level |
| Small Python team | A product that needs a backend developer, a front-end developer and testing | Hourly, per person |
| Fixed-price build | A defined API, portal or data pipeline with a written scope | By complexity |
| Scoping first | You know the problem but not the data model or the integrations | A short engagement that ends in a written spec |
Illustration (an estimate, not a quote): a Python API and admin system for a services firm, with roles, a customer status endpoint and an accounting export, at an assumed $40 an hour:
| Work | Hours |
|---|---|
| Data model and written spec | 24 |
| API endpoints and authentication | 56 |
| Admin screens and roles | 44 |
| Customer status endpoint | 20 |
| Accounting export | 28 |
| Automated tests | 30 |
| Deployment and handover | 18 |
| Total | 220 hours, about $8,800 at $40 an hour |
A smaller API without the admin screens falls well below that, and a platform with several integrations rises above it. Bring your data and the systems it must reach, and we will price your own.
Which Python developer profile you need
Python is used for different jobs, and the right person depends on which one you are hiring for.
| Profile | What they do | Ask to see |
|---|---|---|
| Backend developer | Builds the API, accounts and business rules behind a product | An API they built and how it handles errors |
| Data engineer | Collects, cleans and moves data between systems on a schedule | A pipeline and how failures are reported |
| Automation developer | Connects tools and automates repeated tasks | An integration with retries and a failure list |
| AI integration developer | Builds features that call language models inside an app | How cost, tests and failures are handled |
Common situations and what to hire
Python projects start from very different places, and the arrangement should follow.
| Your situation | What to hire | Why |
|---|---|---|
| A spreadsheet process that has outgrown itself | A fixed-price build after a short scoping engagement | The workflow is written down first, so the data model is right from day one |
| An API that is slow, fragile or undocumented | A dedicated developer by the hour | The first hours go on tests and monitoring, so changes stop being risky |
| A product that needs data and AI features added | A small team: a backend developer and a data developer | The two jobs use different habits, and splitting them avoids rework |
What the first month of a Python hire looks like
- Week one: access to the code or the systems it must reach, a written scope, and a database design agreed in writing.
- Week two: the first endpoint or job running against test data, with tests, so you see the pattern before the rest is built.
- Week three: the integrations and failure handling, including what happens when another system is down.
- Week four: a review against the spec, a performance check on real volumes, and a plan for deployment and handover.
How to check any Python developer before you hire
Use these questions whoever you hire, including us. A good answer is specific and names a trade-off.
- Which framework will you use, and why that one for this job?
- How do you structure the code so another developer can take over?
- How are database changes made safely on a live system?
- Which tests will I receive, and how are they run?
- How do you handle a failing integration or a slow call?
- Who owns the code and the hosting at handover, and what does it cost to run each month?
- Ask for a small paid trial task before you commit: one real endpoint with its data model, a test and a note on how it fails.
Be wary of a promised outcome. Delivery depends on scope, access and decisions on your side as well.
Mistakes to avoid when hiring Python developers
Backend hires go wrong in predictable ways, and each is cheap to avoid.
- Starting to code before the data model is written down, then changing it under live data.
- Accepting an API with no tests, so every change is a risk.
- Ignoring failure paths: what happens when a call to another system times out.
- Hosting the system in the developer's own account and finding that out at handover.
Hiring from the US, UK, Australia, Canada and the UAE
Clients in the US, UK, Australia, Canada and the UAE hire Python developers from us, with no local offices involved. Calls, written specs and a shared project board replace site visits.
Who this is for, and who it is not
| A good fit | Not a fit |
|---|---|
| A business that needs a backend, API, data job or automation built or fixed | A request to promise a launch date before the scope is written |
| A team adding a Python developer by the hour to existing work | A project that needs developers on site |
| Owners who will approve a written spec and review work in stages | A need that a no-code tool already meets at lower cost |