Backend & API Development

Backend & API Development

APIs, data models, and background systems built to stay reliable under real traffic — not just to pass a demo.

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My eTimeCard backend and payroll platform built by KodeLinkers
What This Is

The backend is where most product reliability problems actually surface — an API that wasn't designed for its current load, a background job that fails silently, a database schema that's outgrown its original design. We treat this as core engineering work, not an afterthought behind the frontend.

We work in both greenfield backends and existing systems that need stabilizing, and we're comfortable inheriting code we didn't write.

Common Problems We Solve

  • An API that's slow or unreliable under the traffic the product now actually gets.
  • Background jobs (emails, reports, syncs) that fail without anyone noticing.
  • A database schema that made sense at MVP stage but doesn't support current features well.
  • No clear API contract between frontend and backend teams, causing constant integration bugs.

What We Can Build

  • REST and GraphQL API design and development
  • Backend services in Node.js, Python, Django, and FastAPI
  • Database design and query performance work (PostgreSQL, MySQL, MongoDB)
  • Background jobs, queues, and scheduled/batch processing
  • Third-party API and service integrations
  • Stabilizing and taking over existing backend systems

Examples

Examples of what this looks like in practice: a Django-based payroll and time-tracking backend handling attendance and secure reporting for small businesses; a microservices architecture using GraphQL and Kafka for real-time inventory across an e-commerce catalog.

My eTimeCard is a real backend system we've delivered — see it on our Projects page.

Technologies We Use
Node.jsPythonDjangoFastAPIPostgreSQLMongoDBDockerAWS
FAQ

Backend & API Development Questions

Yes — we're comfortable inheriting code we didn't write. We typically start by understanding what's fragile, then stabilize before adding new functionality.

Both. We design REST or GraphQL APIs from scratch, and we integrate with third-party or existing internal APIs when that's what the project needs.

Yes — this is one of the more common reasons clients come to us: an API or schema designed for MVP-stage traffic that needs to hold up at current scale.

PostgreSQL and MySQL for relational data, and MongoDB where a document store is a better fit — chosen based on the data and access patterns, not by default.

Have a SaaS or AI Product to Build?

Tell us what you're working on and we'll discuss the technical approach, scope, and next steps.

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