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Software Engineering

Backend systems that hold up on your busiest day

We design and run the server-side foundations of your product: services, data stores, queues and cloud infrastructure, built for correctness first and scale second.

Backend Development

What you receive

  • Architecture decision records
  • Production services and data migrations
  • Infrastructure as code
  • CI/CD pipelines with automated rollback
  • Dashboards, alerts and SLOs
  • Load-test reports and runbooks

Our approach to Backend Systems

Most production incidents trace back to decisions made in the backend: a data model that cannot change, a queue with no retry policy, a service with no way to see what it is doing. We spend our effort on exactly those fundamentals.

We prefer the simplest design that will meet your real load, and we only reach for microservices or event streaming when they solve a problem you actually have. Every system ships with metrics, tracing, runbooks and infrastructure defined as code, so operating it is not a dark art.

This is likely a fit if…

  • Performance degrades as traffic or data volume grows
  • A monolith has become risky to change and slow to deploy
  • Deployments require out-of-hours windows and crossed fingers
  • Your cloud bill is rising faster than your usage
Capabilities

What’s included

Service architecture

Well-structured modular monoliths and microservices with clear boundaries and ownership.

Event-driven systems

Kafka and queue-based pipelines with idempotency, retries and dead-letter handling designed in.

Data engineering

Schema design, query tuning, read replicas, caching and zero-downtime migrations.

Cloud and DevOps

Terraform-managed AWS or Google Cloud, containers, Kubernetes where justified and automated delivery.

Observability and SRE

Metrics, traces and logs tied to service-level objectives, with alerts that mean something.

Cost and capacity tuning

Load testing, right-sizing and caching strategies that lower spend without adding risk.

The engagement

How we deliver it

  1. 01

    Technical audit

    We review code, data, infrastructure and incident history to find the real constraints.

  2. 02

    Target architecture

    A written design with options, trade-offs and a migration path you can challenge.

  3. 03

    Incremental delivery

    Changes ship in small, reversible steps behind flags and traffic-shifting controls.

  4. 04

    Operate and hand over

    Service-level objectives, on-call runbooks and training for the team taking ownership.

Tools and platforms

  • Go
  • Node.js
  • Python
  • NestJS
  • PostgreSQL
  • Redis
  • Apache Kafka
  • Kubernetes
  • Terraform
  • Grafana
FAQ

Backend Systems questions

The things founders and leadership teams actually ask us, with honest answers. Anything else, we’re one message away.

Ask your own question
  • Often not. A well-organised modular monolith is cheaper to run and easier to change for most teams. We recommend splitting services only where independent scaling or team ownership clearly justifies the overhead.

Ready to talk about Backend Systems?

Book a free consultation. We’ll scope your project, pressure-test the plan and give you an honest estimate, with no commitment required.