PRN TECHSoftware Engineering

Backend engineering · Cloud · Architecture

Production software, built with judgment.

PRN Tech designs, builds and operates backend systems for companies that depend on them every day — with senior-level technical depth and the accountability of someone who also operates what they ship.

I.

Senior, direct

The person who designs is the person who builds. No layers between decision and code.

II.

Production first

Every system is born observable, tested and ready to operate — not merely delivered.

III.

Explicit tradeoffs

Consistency, latency, cost and operations discussed openly — before they become debt.

Services

Three ways of working together.

Backend & cloud engineering

Building APIs, services and data pipelines in Go, Python and TypeScript on AWS — from first commit to operations.

  • REST & gRPC APIs
  • Event-driven architectures
  • Integrations & migrations

Systems architecture

Architecture design and review with formally recorded decisions — to grow without scale or cost surprises.

  • Design reviews & ADRs
  • Data modeling
  • AWS cost optimization

Consulting & advisory

A senior engineer alongside your team: unblocking decisions, reviewing critical code, raising the engineering bar.

  • Critical code review
  • Application security (AppSec)
  • Technical mentoring
  • Technical due diligence

Capabilities

A toolset chosen with the same judgment.

Languages Go · Python · TypeScript · Clojure
Cloud AWS — Lambda, ECS/Fargate, RDS, DynamoDB, SNS/SQS, EventBridge
Events & messaging Kafka · RabbitMQ · gRPC · event sourcing & CQRS
Data PostgreSQL · Datomic · Redis · modeling & query optimization
Infrastructure Terraform · AWS CDK · Docker · Kubernetes · GitHub Actions · observability

Selected work

Systems in production, not presentations.

A sample of recent engagements. Details protected under NDA.

Sports · Real-time

Real-time notifications at the scale of millions

Push-notification service in Go for a sports platform — gRPC and AWS SNS processing millions of events per day.

Python-to-Go rewrite: 5× the throughput on 10× fewer resources
Migration

Python to Go, zero downtime

Incremental migration of a production REST API using the Strangler Fig pattern — endpoint by endpoint, no maintenance window.

Zero downtime from the first endpoint to the last
Distributed systems

Event sourcing & CQRS in production

Designing and operating event-driven architectures — consistency, hidden operational costs, and migrating shared databases across microservices.

Patterns adopted for their real costs, not their hype
B2B Fintech

Recurring-billing platform

Go APIs, payment reconciliation and banking integrations for daily operation without manual intervention.

Daily processing fully automated
Logistics

Fleet event pipeline

Telemetry ingestion and aggregation on AWS — queues, workers and PostgreSQL consolidation.

Millions of events per day at predictable cost
SaaS

Architecture review & scaling plan

Database bottleneck diagnosis, caching strategy and cost projection for a fast-growing SaaS.

p99 latency stabilized ahead of peak season

References on request · The technical stories behind this work are in the founder's writing.

Products

We also build our own software.

In development

Health & personal data

Our first product turns scattered lab results into an organized health history, trackable across the years.

Launch 2026
Market Global — EN & PT
Principle Privacy as a feature

Contact

Let's talk about your system.

contato@prntech.com.br

Reply within one business day.

Coverage Remote — Brazil & worldwide Based in Cuiabá, Brazil (UTC−4) Languages Portuguese and English Technical writing paulo-vicente.fly.dev GitHub @0xb0b1 LinkedIn Paulo Vicente
PT