Engineering Services
We build backend systems that support core operations; APIs, transaction processing, integrations, and high-volume data pipelines. Our work prioritizes correctness, data consistency, predictable latency, scalability, and safe deployments backed by monitoring and rollback. The result is backend systems that hold up under real production load.
“Anything that can go wrong, will go wrong.”
“Simplicity is the ultimate sophistication.”
These principles guide our engineering: design systems for production realities, and keep it simple enough to reason about. The result is mission-critical backend software that is straightforward to evolve and stays predictable as load, dependencies, and requirements change.
We take on backend work where the system has to be correct, fast, and running at all times. These are the kinds of systems we build and improve:
Backend APIs that serve web and mobile apps, partner systems, and internal tools, designed with authentication, rate limiting, versioning, and consistent interfaces from the first endpoint.
Payments, billing records, and financial events that must be processed exactly once and recorded correctly, even if a server crashes or a network request fails.
Connecting ERP, CRM, and third-party systems that need to exchange data reliably. Handling format mismatches, retries, and continued operation when one side goes temporarily offline.
Continuous ingestion of sensor data, operational events, and telemetry streams, where a delay of seconds can affect downstream decisions or trigger missed alerts.
Replacing systems that can’t be maintained, scaled, or secured without shutting down operations. We run old and new systems in parallel, migrate traffic gradually, and switch when the new system is proven.
Batch processing, nightly reconciliation, report generation, and data synchronization tasks that must complete reliably, with retry logic, dead-letter queues, and failure notifications.
The specifics of how we write, test, deploy, and operate the systems we build:
Tests run against actual databases, queues, and services, not mocks that pass while production breaks. We load test under realistic traffic and failure scenarios before any release.
Every API is explicitly versioned with a typed schema. Breaking changes are caught at build time. Clients don't break when the backend ships updates.
Every server, database, queue, and network rule is defined in version-controlled configuration. Environments are reproducible. Disaster recovery starts with a single command.
We choose consistency models based on what the domain requires; strong consistency for financial records, eventual consistency where it's safe. Data is never silently lost or duplicated.
Authentication, authorization, and encryption are built into the application code, not bolted on at the network edge. Every endpoint enforces permissions. Every secret is managed, rotated, and never hardcoded.
Backups are tested regularly by restoring them. Recovery runbooks are written and rehearsed. When an outage happens, the team follows a procedure.
Describe what you're running, what's not working, and what you need it to handle. We'll tell you whether we can help and what the work would look like.