Product engineering
An API is a promise other people build on. We design the contract first — resources, auth, errors, versioning — then build it in Node.js so the teams consuming it stop needing to ask you what a 400 means.
Most API problems are not performance problems. They are contract problems: an endpoint that returns a different shape when a field is missing, an error body nobody can branch on, a breaking change shipped as a patch, an auth scheme that only the original author understands.
We start from the contract and work back. What resources exist, what each one returns, what every failure looks like, how a client authenticates, how a change is versioned, and what happens when the same request arrives twice. Then we build it — usually Node.js and Express, usually on Cloud Run, always with the contract written down.
Technologies
One API serving more than one store, where per-store configuration, per-client auth and a stable contract all matter at once.
Uploads that need validation, size and type limits, private object storage and access control rather than a public bucket.
A partner, an agency or an internal team needs read or write access to your commerce data on terms you control and can revoke.
Resources, methods, payloads, error codes and auth are agreed in writing before any of it is built, because that is the part that is expensive to change later.
Node.js and Express, structured logging, input validation at the edge, and the write paths made idempotent from the first commit rather than after the first duplicate.
Rate limits, timeouts, the failure cases tested on purpose — duplicate requests, partial payloads, upstream outages — and alerts on the ones that matter.
Documentation with real example requests, a changelog, and the deployment pipeline in your own cloud account.
Real projects that used this capability. Every one shipped.
A multi-tenant restaurant platform: an installable POS on the floor, a kitchen display that updates as orders change, and a NestJS backend holding the order state machine behind both.
An apparel catalog application with its own product database and media pipeline, where the buying conversation moves to WhatsApp instead of a checkout the business does not need yet.
A Node.js and Express service layer sitting between more than one storefront and the systems behind them — Shopify APIs, Google APIs and the shared operations each store would otherwise reimplement.
Tell us about your store and your goals. We'll come back with a clear, honest plan and a transparent quote.