01 — Software Engineering
Software built to become infrastructure
Software rarely fails all at once. It erodes: a contract nobody wrote down, a query nobody indexed, a deployment nobody wants to touch. We engineer it the way infrastructure is engineered — explicit boundaries, measurable behaviour and one repeatable path from commit to production.
Discipline 01
We don’t build applications that simply work.We build systems that keep working.
From backend services and APIs to enterprise applications and distributed systems, we focus on architectures that stay reliable as your business grows.
Clean architecture, strong service contracts, resilient database design, observability and automation are part of the system from the beginning — not added after the first outage.
What we build
10 · Software Engineering- Backend & API architectures
- Enterprise applications
- Distributed systems
- Microservice architectures
- Database-driven applications
- Integration platforms
- Internal business systems
- Automation platforms
- High-performance services
- Production-grade infrastructure
How we work
Software Engineering
The processor — where the instructions run
- 01
Decisions on record
Service boundaries, storage choices and consistency models are recorded as architecture decision records, together with the options we rejected and why. C4 diagrams live alongside the code, so the picture stays current as the system changes.
- 02
Contracts before code
APIs begin as OpenAPI, gRPC or AsyncAPI definitions that both sides review before implementation. Breaking changes are caught in CI by schema diffs and consumer-driven contract tests — not by the first client that fails in production.
- 03
Failure as a design input
Timeouts, retries with backoff, idempotency keys, circuit breakers and the transactional outbox are chosen for each call path, not added afterwards. Load and fault-injection tests show how the system behaves under pressure before your users find out.
- 04
Observable from the first release
Every service ships with OpenTelemetry traces, RED metrics and structured logs. We agree service-level objectives with you and alert on error budgets, so on-call engineers respond to what users actually feel, not to noise.
- 05
One path to production
Infrastructure is defined in Terraform and builds are reproducible. Every change follows the same pipeline — tests, static analysis, dependency and image scanning, an SBOM — then a canary or blue-green release with automated rollback.
What you receive
- Architecture decision records and C4 diagrams
- Versioned API contracts (OpenAPI, gRPC, AsyncAPI)
- Source code with unit, integration and contract tests
- Terraform modules and CI/CD pipelines
- SLO definitions, dashboards and alert rules
- Runbooks and on-call playbooks
Technology range
- Go
- Java / Spring Boot
- .NET
- TypeScript
- PostgreSQL
- Redis
- Apache Kafka
- gRPC
- Kubernetes
- Terraform
- Argo CD
- OpenTelemetry
- Prometheus
- Grafana
- Keycloak
We are technology-agnostic and work with the stack you already run.
What changes
What changes
- 01
Change without fear
Clear boundaries and tested contracts let a team release one service without coordinating a release of everything around it.
- 02
Incidents with answers
When something breaks, traces point to the cause and runbooks to the fix. Recovery becomes a procedure rather than an investigation.
- 03
Growth without a rewrite
Capacity is planned, load-tested and scaled horizontally, so a new market or a seasonal peak becomes an operational task, not a new project.
Related
Frequently asked questions
Frequently asked questions
01Do you only build new systems, or can you work on existing code?
Both. We begin with an assessment of the architecture, dependencies, test coverage and incident history, then improve the system incrementally — usually by moving one capability at a time behind a stable interface. A full rewrite is a last resort, not a default.
02Which languages and platforms do you work with?
We choose per problem and per team. Go, Java/Spring and .NET cover most backend work, PostgreSQL is our default relational store and Kafka carries events between services. If your organisation has standardised on a stack, we work within it — a system your team can maintain is worth more than our preferences.
03Can you deploy on-premises as well as in the cloud?
Yes, and hybrid. Everything we build is defined as code and runs on Kubernetes or plain virtual machines, so the same system can run in your data centre, a private cloud or a public cloud region. For air-gapped environments we work with mirrored package and image registries.
04What happens after go-live?
We can run the system with you or hand it over completely. Either way, handover is planned from the start: your engineers review pull requests, join incident drills and take ownership of the runbooks before we step back.
Let’s talk about your software engineering needs.
Backend services, APIs and distributed systems that stay reliable as your business grows, with observability and automation designed in from the start.