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LorienSoft

Backend systemsand APIs.

APIs, integrations and data pipelines for systems where mistakes are expensive, such as payments, orders and patient records. We design for failure as well as the happy path, and for the engineer who has to debug it later.

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What a backend engagement includes.

  1. 01

    API design and development

    REST and GraphQL interfaces with versioning, pagination, idempotency and documentation generated from the contract.

  2. 02

    System integrations

    Connections to ERP, CRM, payment, logistics and identity providers, with retries, dead-letter queues and reconciliation reports.

  3. 03

    Cloud architecture

    Infrastructure as code on AWS, Google Cloud or Azure, sized to the workload, with environments that match production.

  4. 04

    Data pipelines

    Ingestion, transformation and warehouse models for reporting, with lineage and tests on the data as well as the code.

  5. 05

    AI and LLM features

    Retrieval, classification and drafting features with evaluation sets, cost limits and a human review step where the stakes require one.

  6. 06

    Observability and operations

    Structured logging, tracing, metrics, alerts and runbooks, so incidents are shorter and easier to diagnose.

Typical backend projects.

  • Breaking up a monolith, one seam at a time

    Find the seams that matter, extract the first service behind the existing interface, and run both side by side until the numbers agree.

  • Integrating an ERP with a storefront and a warehouse

    A durable integration layer with queues, idempotent handlers and a reconciliation view, so that a failed sync is visible and can be repeated.

  • A retrieval-based assistant over an internal knowledge base

    Index the documents, build an evaluation set from real questions, and ship an assistant that cites its sources and says when it does not know.

From domain model to production runbook.

  1. 01

    Model the domain

    Before choosing frameworks, we write down entities, states, invariants and failure modes with the people who run the process.

    You get
    Domain model and API contract

  2. 02

    Build the walking skeleton

    A thin end-to-end path through deployment, authentication, one real endpoint, monitoring and a database migration.

    You get
    Deployed skeleton with CI/CD

  3. 03

    Grow behind tests

    Features land with contract, integration and load tests, and data migrations are rehearsed on production-shaped data.

    You get
    Tested release every sprint

  4. 04

    Operate

    Dashboards, alerts and runbooks are in place before go-live, followed by a capacity review after the first month in production.

    You get
    Runbooks and a draft SLO

Languages, data stores and infrastructure.

We choose what your team can maintain. Where services already run on another stack, we work with it and replace parts only with a reason.

Languages

  • TypeScript
  • Go
  • Python
  • SQL

Data

  • PostgreSQL
  • Redis
  • TimescaleDB
  • BigQuery

Messaging

  • SQS and SNS
  • RabbitMQ
  • Kafka
  • Temporal

Cloud

  • AWS
  • Google Cloud
  • Terraform
  • Kubernetes

Observability

  • OpenTelemetry
  • Grafana
  • Sentry
  • Datadog

Backend systems from the studio.

View all work →

Languages, legacy systems, migration and AI providers.

TypeScript on Node.js for most product backends, Go where latency and concurrency matter, and Python for data and machine-learning work. We use what your team can maintain.

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