ZECH
Software · Platform

Backend and API development for systems other systems depend on.

We design and build services, APIs and data models with clear contracts, secure authentication, tested integrations and the monitoring needed to run them reliably.

What we deliver
  • API design and contracts
  • Services and business logic
  • Data model and storage
  • Authentication and authorization
  • Integrations and events
  • Tests and observability
Tools & platforms
Node.js and TypeScriptPythonGoPostgres and RedisOpenAPI

Where this helps

Integrations are point-to-point and fragile
Each system talks to every other through a custom connection. When one changes, several break, and nobody has a full picture of what calls what.
The API is a leak of the database
Endpoints mirror internal tables, so every schema change becomes a breaking change for the web app, mobile app and partners that depend on them.
Outages are found by users
The backend has little logging or monitoring. When something slows down or fails, the team learns about it from support tickets.

What we deliver

01
API design and contracts
Resource models, endpoints, error formats and versioning documented in an OpenAPI or equivalent specification before implementation.
02
Services and business logic
Backend services that hold the business rules, with clear boundaries and a structure your team can extend.
03
Data model and storage
A schema designed for the application's access patterns, with migrations under version control.
04
Authentication and authorization
Token-based authentication, integration with your identity provider and permission checks enforced consistently.
05
Integrations and events
Connections to third-party and internal systems through APIs, webhooks, queues or events, with retries and idempotency.
06
Tests and observability
Contract and integration tests, structured logs, metrics and traces, and alerts on error rates and latency.

How it works

  1. 01

    Understand consumers

    We identify every client of the API — web, mobile, partners, internal systems — and what each needs.

  2. 02

    Design the contract

    The API specification is agreed with the consuming teams before the build, so frontend and backend work can run in parallel.

  3. 03

    Build and test

    Services are built in increments with automated tests running on every change.

  4. 04

    Harden

    Load testing, security review, rate limiting and failure-mode testing before production traffic.

  5. 05

    Operate

    Deployment, monitoring and on-call runbooks, with a versioning policy for future changes.

Design decisions we make with you

  • REST, GraphQL or events

    REST suits most public and partner APIs. GraphQL suits frontends combining many data sources. Events and queues suit work that does not need an immediate response.

  • Monolith or services

    A well-structured modular monolith is often the right starting point. We split into separate services where scaling, ownership or release cadence genuinely requires it.

  • Versioning and compatibility

    We agree how changes are introduced and how long old versions are supported before any consumer depends on the API.

  • Security

    Input validation, least-privilege access, secrets management and rate limiting are standard, with audit logging where actions need to be traceable.

Questions buyers ask

Only where there is a clear reason — independent scaling, separate team ownership or different release cadences. For many systems, a modular monolith is simpler to build, test and run.

Yes. We can write a specification from the existing behavior, add tests and monitoring, and then plan changes without breaking current consumers.

Yes. Agents need narrow, well-described tools with strict permissions. See AI integration and AI agents.

Discuss this capability with an engineer.

Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.