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Backend development · E-commerce

Backend development with Python for E-commerce

We build your e-commerce backend with Python —catalogue, stock and order APIs, integrations and queues— so the store doesn't fall over when it's selling the most.

THE CHALLENGE

The challenges of E-commerce

In e-commerce, every millisecond of load time and every campaign spike directly impact conversion and revenue. The software must be fast, resilient under spikes and well integrated with the rest of the commercial ecosystem.

  • Traffic spikes during campaigns and seasonality
  • Performance and load speed (conversion)
  • Integrations (ERP, gateways, marketplaces)
  • Scalability without runaway costs
  • A smooth buying experience

How we help you

The storefront gets the attention, but it's the backend that decides whether the order confirms, the stock adds up and the campaign holds. We build commerce backends with Python: Django for the catalogue, the orders and the operations panel, and FastAPI for the APIs your headless front end and apps consume at high speed. Heavy tasks —invoicing, emails, stock sync— off the critical path with Celery, caching with Redis where every millisecond counts, and an architecture that scales on Black Friday and scales back in January so you don't pay for idle servers.

Catalogue, stock and order APIs

Fast, well-documented endpoints so your headless front end, your app and your marketplaces read stock and create orders without friction or overselling, with FastAPI where latency matters.

Ready for the campaign spike

Caching with Redis, queues with Celery and autoscaling to absorb Black Friday and sale-season traffic. Heavy tasks move off the critical path so the checkout never jams.

Integrated with your commercial ecosystem

We connect ERP, PIM, gateways, logistics and marketplaces (Amazon, Google Shopping) with reliable sync of stock, prices and orders, and retries so no sale is lost to a one-off failure.

Queued tasks for what shouldn't block the sale

Invoices, transactional emails, inventory updates and webhooks processed in the background with Celery. The customer buys instantly and the heavy lifting happens behind the scenes, unnoticed.

WHAT YOU GAIN

Backend development, results-driven

  • Senior Python team that delivers value from the very first weeks
  • APIs and microservices with Django and FastAPI, typed and documented
  • Backend architecture designed to scale without rewrites
  • Backend that's tested, observable and secure by design
  • Full ownership of the code and the know-how

FAQ

Frequently asked questions

Will the backend hold up during a spike like Black Friday?

Yes. We design with caching (Redis), queues (Celery), connection pooling and autoscaling, and we load-test ahead of every campaign. The goal is for the checkout and order APIs to respond under heavy traffic without degrading.

Can you integrate my ERP, my gateway and the marketplaces?

Yes. We build integrations with ERP, PIM, gateways (Stripe, Redsys, PayPal), logistics operators and marketplaces such as Amazon or Google Shopping, with reliable sync of stock and orders and retries for temporary failures.

How do you prevent stock overselling?

With database concurrency control: atomic reservations, locking and transactions over Django's ORM. Stock is decremented consistently even if two customers buy the last unit at the same time.

Does this backend work for a headless store?

Yes. We expose clean APIs (REST with FastAPI or Django REST Framework) so your front end, mobile app and channels consume the same backend. We separate storefront and engine so you can evolve the experience without touching the business logic.

Why Python for the backend instead of another language?

Python combines development speed, a mature ecosystem (Django, FastAPI, Celery) and a huge community, which means less time to production and a product that's easier to maintain and hire for. We choose the stack based on the problem, and for most APIs, data platforms and AI integrations, Python is the most solid option.

Django or FastAPI? Which one do you use?

It depends on the case. Django shines when you need a complete, batteries-included backend with an ORM and admin; FastAPI, when you want high-performance async APIs with strict typing. We often combine them. We recommend the one that fits your product, not the one that's trendy.

Can you step into an existing Python backend?

Yes. We audit the code, dependencies and architecture to understand its real state, and from there we stabilise, secure and evolve it without stopping your operation.

Shall we build something that scales, together?

Tell us about your project. We'll get back to you with a concrete plan and a senior team — not a generic quote.

Let's talk about your projectholalmnhub.com