Backend development

Backend development: the layer everything else depends on

The backend is where a product's real architecture lives the data model, the API contracts, the integrations, the logic that has to be correct under concurrent load. We build backend systems the way Protego's SP-API risk engine and Digital Tolk's real-time matching system were built: designed for the load and consistency the product actually needs.

API architectureData modelingIntegrations
Quick answer

Backend development for APIs, databases, integrations, and services the architectural layer everything else in your product depends on.

Frontend problems are usually backend problems in disguise

A slow page, an inconsistent number, a feature that breaks under real usage most of these trace back to backend decisions: an unindexed query, a data model that doesn't match how the product actually gets used, an API that wasn't designed for the client's real access patterns. Fixing the frontend rarely fixes the root cause.

What we build

  • API architecture REST or GraphQL designed around real client access patterns
  • Data modeling that matches how the product is actually queried and updated
  • Third-party integrations, including ad platforms, payment processors, and internal tools
  • Authentication, authorization, and multi-tenant access control
  • Performance work: query optimization, caching, and load handling under real traffic

How we work

  1. Model the data around real query patterns, not just the entity relationships on paper

  2. Design APIs around how clients actually consume them, not a generic CRUD default

  3. Build integrations defensively third-party APIs change and fail; plan for it

  4. Load-test against realistic traffic before it becomes a production incident

Typical stack

Node.jsPythonPostgreSQLRedisREST / GraphQL

Frequently asked questions

APIs, databases, business logic, authentication, third-party integrations, and the performance work that keeps all of it fast under real load everything the frontend calls but the user never sees directly.

Based on how clients actually need to consume the data GraphQL earns its complexity when multiple clients (web, mobile, partners) need different shapes of the same data; REST is often simpler and sufficient for a single, well-defined client. We don't default to either without checking the access pattern first.

Yes a large share of backend engagements are exactly this: profiling real slow queries and endpoints, fixing indexing and data-model issues, and adding caching where it earns its complexity, rather than a rewrite from scratch.