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ServiceProduct Development

Backend Engineering

Domain models, services, and APIs built to survive the second year — not just the demo day.

Milestone-based; complexity of domain and integrations sets the pace.

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Backend systems and structured product architecture

Problem

Backends rot when the model is improvised.

Unclear boundaries, leaky transactions, and “temporary” tables become the product’s permanent tax. Demo-day schemas rarely survive the second integration.

When every client invents its own idea of the domain, you do not have a backend — you have a shared database with extra steps.

Solution

Model the domain. Expose clear contracts.

We build services with explicit data ownership, tested paths, and interfaces clients can depend on. Migrations are a plan, not a Friday surprise.

Language is a choice for the problem and your team’s ownership — Node, Go, Python, and related stacks as scoped. Fashion is not a requirement.

Who this is for

A fit when the problem looks like this.

  • Products whose frontend has outrun a backend that was “just enough for the demo”
  • Teams taking over a messy service who need stabilization before a rewrite fantasy
  • Platforms that need jobs, integrity, and observability on critical paths
  • Founders who want APIs their next client — web, mobile, or partner — can trust

Capabilities

What we deliver in this practice.

  • Domain modeling and service boundaries
  • API and background job design
  • AuthN/AuthZ integration as scoped
  • Data migrations and integrity thinking
  • Observability for critical paths
  • Stabilization and strangler patterns for existing services
  • Contracts that web, mobile, and partners can share

Process

How this service actually runs.

  1. 01

    Map the domain

    Entities, ownership, and the transactions that must not tear. We write down what “consistent” means here.

  2. 02

    Draw the contracts

    APIs, jobs, and auth boundaries. Clients should not need tribal knowledge to call you.

  3. 03

    Build and migrate

    Services with tests on the paths that hurt. Existing data gets a migration story, not a hope.

  4. 04

    Instrument the critical path

    You should see failures on the journeys that make money or keep people safe.

  5. 05

    Hand over ownership

    Schema, contracts, and operating notes. The next engineer should not need us on speed-dial to add a field.

Every serious build still follows the studio path — Discover through Improve. See the full studio process.

Technology

Stack we typically reach for here.

  • Node.js
  • NestJS
  • Go
  • Python
  • PostgreSQL
  • Redis
  • Prisma

Deliverables

What you leave with.

  • Backend services for the agreed scope
  • Schema and migration approach
  • API contracts and operating notes
  • Auth integration as scoped
  • Observability hooks on the paths we agreed were critical

Outcomes

What this is meant to change.

  • A domain model that can absorb the next client without a rewrite
  • Contracts web, mobile, and partners can share
  • Migrations and tests on the paths that used to be folklore

Selected work

Product work from this practice.

Related services

Practices that often sit beside this one.

Timeline

How long this usually takes.

Milestone-based; complexity of domain and integrations sets the pace.

Starting price

Honest commercial footing.

Quote after a written brief

Scope drives the number. You get a written proposal before build starts — not a surprise invoice after.

This practice typically sits in our Products pricing lane — still a scoped proposal, not a menu quote.

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FAQ

Common questions for this service.

Ready to talk through this service?

Start a project conversation — or email us with the problem you are trying to solve.

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