Technology company
Infrastructure architecture for backend and data systems.
SibTech LLC designs the architecture behind high-load backend services, event streaming, and data platforms for United States businesses, then leads the implementation of that design.
The problem we solve
Systems that were built one project at a time.
Most growing software companies do not fail on features. They slow down because every engagement was delivered as its own independent build: a separate backend, a separate set of integrations, its own database and its own access rules.
It works until volume arrives. Then the same defects repeat in every project, integrations break in ways nobody can trace, queries that were fine at a thousand records stall at a million, and no single person can say who has access to what.
That is an architecture problem, and it is rarely solved by hiring another developer. It is solved by deciding, in writing and up front, how the systems fit together.
SibTech does that work. We produce the architecture, we defend the reasoning behind it, and we stay through implementation so the design that ships is the design that was agreed.
Practice areas
What we design
Six areas of architecture work. Most engagements draw on several of them.
Platform architecture
A common backend and delivery platform that replaces per project rebuilds, with shared services, tenant separation, and clear configuration boundaries.
Event streaming and ETL
Event driven and scheduled processing for asynchronous workloads. Apache Kafka and RabbitMQ evaluated against your actual load profile, not against a preference.
Data and storage
Relational and document data modeling, indexing strategy, caching policy, and query optimization for workloads that keep growing.
Authentication and access
One identity, token, and permission model across your products, including service to service authentication, secrets handling, and database access control.
APIs and integrations
A unified integration layer for CRM connectors, spreadsheets, webhooks, and payments, with contract standards, retries, idempotency, and failure isolation.
AI integration
Where model calls belong in the system, what runs on device against what runs server side, and how cost, rate limits, and data handling are controlled.
Engagement
How an engagement runs
Phase 1
Discovery and target architecture
We assess the systems, integrations, and constraints that already exist, then deliver the target architecture: where the platform is going and what has to change to get there.
Phase 2
Component design and implementation plan
Component level designs for each area in scope, plus a sequenced implementation plan with migration phasing, a technical risk register, capacity planning, and a security review of the proposed design.
Phase 3
Design review, iteration, and knowledge transfer
We review what is built against what was designed, iterate as the systems evolve, and transfer the architectural reasoning to your own engineers so the work does not depend on us indefinitely.
Working with us
What you get, in plain terms
- Written architecture documents, not slide decks: diagrams, schema definitions, interface specifications, comparison memoranda, and implementation plans.
- Ten business days to review and request revisions on every deliverable, in writing.
- You own the deliverables outright once they are paid for.
- Hourly billing, invoiced monthly in arrears with hours and tasks itemized.
- A senior architect on the engagement, not a rotating bench.
Technologies
What we work in
We recommend what fits the load profile and the team that has to operate it. In practice, that is usually somewhere in here.
- Kotlin
- Java
- Spring Boot
- Ktor
- Apache Kafka
- Apache Flink
- RabbitMQ
- PostgreSQL
- MongoDB
- Redis
- Python
- FastAPI
- Docker
- Kubernetes
- AWS
- GCP
Tell us what is breaking.
A short description of your systems and where they hurt is enough to start. We will tell you whether this is an architecture problem worth engaging on, and we will say so if it is not.