Hire Python engineers who build clean, tested back ends, data pipelines and automation, and who know how to take a prototype or notebook into a service that runs in production.
The frameworks, data tools and infrastructure our Python developers work with.
Type-hinted, well-packaged Python with clear dependency management and consistent formatting.
Full-featured web back ends with an ORM, admin, authentication and a mature ecosystem.
Lightweight, fast APIs with request validation and automatically generated documentation.
Relational models, migrations and caching, written with query performance in mind.
Task queues and scheduled jobs for emails, reports, imports and other work outside the request.
Data processing and model integration when the product needs analytics, machine learning or LLM features.
Automated tests and containerised deployments with CI pipelines and monitoring in place.
Python covers web back ends, data work and automation. These are the kinds of systems our developers are typically brought in to build.
Django and FastAPI services for web and mobile apps, with authentication, permissions and admin tools.
Documented, validated APIs that front ends and other systems can rely on.
Jobs that collect, clean and move data between databases, files and third-party services.
Scripts, dashboards and tools that replace repetitive manual work.
Services that connect your product to machine learning models and LLM APIs, with sensible guardrails.
Connectors to payment providers, CRMs, ERPs and other third-party platforms.
See finished projects in our case studies.
Levels describe the scope of responsibility you can expect. The profiles we put forward depend on your requirements.
Builds features and endpoints in an existing Python codebase.
Teams with senior back-end leadership that need more capacity.
Owns services end to end, from data model to production.
Products that need someone to own a service, a data pipeline or a complex integration.
Sets the Python architecture and engineering practices.
New platforms, re-architecture and growing Python teams.
From your first message to a developer working in your codebase.
Proposed workflow Steps shown for review. Final process to be confirmed.
Hiring through a development partner gives you more than a CV. You get specialists who work as part of your team, with a company behind them.
We shortlist Python developers by the tools and kind of product you work on, not by job title alone.
You review profiles and interview candidates yourself before an engagement starts.
They join your repositories, stand-ups and tools, and follow your team’s processes.
Start with one specialist and add people or adjust the setup as your plans change.
360Xpert also provides developers, designers, QA and DevOps engineers if your project needs them later.
Mostly Django, FastAPI and Flask. We shortlist people who match the framework and versions your codebase uses.
Yes. Some of our Python developers focus on data processing and model integration. For research-heavy machine learning work, our data scientists are often the better fit.
Yes. You review profiles and interview shortlisted candidates in your own format, and you decide who joins your team.
Yes. They start by reading the code, tests and deployment setup, then agree priorities with you before changing anything.
They work in your repository, tools and meetings, with agreed working hours and time-zone overlap.
Yes. You can add one developer, a dedicated team that may include front-end, QA and DevOps, or hand us the whole project.
Tell us about your project and the Python skills you need. We’ll get back to you to discuss suitable developers and next steps.