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Available for Engineering Roles & High-Impact Contracts
⚡ Backend & Systems

I build high-leverage backend systems that scale, stay resilient, and cut costs.

5+ years in tech with 3+ years delivering production systems across Python, FastAPI, Django, NestJS, and PHP. Specialized in microservices, event-driven task queues, measurable 15–20% performance gains, and cost-controlled AI integrations.

Explore Featured Projects
gabriel_systems_core.py PROD • 99.99%
1 from fastapi import FastAPI, Depends, BackgroundTasks
2 from core.resilience import CircuitBreaker, IdempotentTask
3
4 # Engineer with 5+ yrs tech, 3+ yrs production systems
5 async def scale_system_throughput(service: Service):
6   perf_gain = await service.optimize_queries() # +20%
7   latency = await service.apply_caching() # 20x drop
8   tokens = await service.guard_ai_flags() # 0% waste
9   return {"status": "optimal", "roi": 1.9}
🚀 Benchmark: 20x Latency Drop & zero AI token leaks Validated
Measurable Business ROI

Code That Moves Key Business Metrics

I don't just write code — I optimize query plans, prevent infrastructure waste, eliminate manual processes, and guarantee system reliability.

+15–20%
Server Performance Gain

Achieved via runtime, dependency, and framework modernization on production Python/Django sales applications.

20x Faster
Endpoint Latency Reduction

Fixed heavy pagination bottlenecks and implemented custom parameter-based Doctrine result-caching.

90–100%
Manual Ops Automated

Eliminated manual challenge grading via AI webhooks, and automated diploma credential life cycles.

0% Waste
AI Token Cost Guardrails

Engineered granular feature flags in Python/Django preventing 100% of unwanted AI API token spend on disabled courses.

Engineering Showcase

Production-Grade Projects & Systems

Explore 3 featured systems demonstrating high-concurrency ingestion, dual-engine AI simulation, and scalable full-stack architectures.

High-Concurrency Ingestion & Job Engine 600+ ATS Probed

DevATS — Multi-ATS Job Ingestion Platform

A high-throughput distributed crawler & developer-focused job board probing 600+ tech companies across Greenhouse, Lever, and Ashby concurrently without requiring API keys. Features live faceted query engine, sub-millisecond PostgreSQL index filtering, and a master-detail UI.

  • Multi-ATS Slug Discovery: Heuristic slug generation stripping legal suffixes with concurrent 3-platform probing.
  • 100% Idempotent Upserts: Composite unique keys (atsProvider, externalJobId) with background worker queues.
  • Auto-Classification Pipeline: Regex-based role category, seniority, workplace inference, and 40+ tech tags extraction.
NestJS FastAPI PostgreSQL Prisma ORM React 19 TypeScript Tailwind CSS
Launch Live App (findjobs.gabrielcjr.website) GitHub Repository
DATA FLOW & INGESTION PIPELINE Async Prober
1
Candidate Slug Generation
629+ companies cleaned & mapped
2
Concurrent ATS Probe
Greenhouse / Lever / Ashby
3
Regex Normalization & Tagging
Roles, seniority, 40+ tech tags
4
PostgreSQL Array Ingestion
Fast faceted search & filtering
Financial Ledger & Field Tracking SSR Clean Architecture

AMAE — Financial Ledger & Operations Platform

A production-grade, server-side rendered (SSR) web application connecting financial sponsors with field missionaries across Brazil. Automates recurring financial adoptions, tracks mission-field coordinates with geocoding, and generates on-the-fly financial receipt PDFs.

  • Decoupled Django Domain Modules: Isolated apps (missions, finance, pages) following clean architecture.
  • Automated Adoption Ledger: Multi-relational income/expense transactions with dynamic calculation rules.
  • High-Fidelity Automated Tests: Comprehensive Pytest test suite covering domain validations and statements.
Python Django PostgreSQL HTMX 2.0 Tailwind CSS 4 Pytest PDF Generation
Launch Live App (amae.gabrielcjr.website) GitHub Repository
DOMAIN ENTITY RELATIONSHIPS Django 6.0
1
Investor ➔ Adoption Pipeline
Sponsors linked to missionary fields
2
Geocoded Location Mapping
Latitude/Longitude coordinate tracking
3
Double-Entry Financial Ledger
Income/expense category balances
4
On-The-Fly PDF Statements
Automated monthly audit statements
Technical Competencies

Production Skills & Ecosystem

Battle-tested technologies used in production systems to build microservices, event-driven pipelines, secure APIs, and cloud infrastructure.

Frameworks & Runtimes

FastAPI Django Nest.js Symfony Node.js React HTMX

Languages

Python TypeScript JavaScript PHP SQL

Cloud & DevOps

Docker Kubernetes (GKE) GitHub Actions AWS EC2 / Lambda GCP Engine CI/CD Pipelines Nginx Gateway

Databases & Storage

PostgreSQL MySQL Redis (Caching) Prisma ORM Doctrine ORM

Architecture & Systems

Microservices Event-Driven Systems RESTful APIs Celery Task Queues Clean Architecture

Testing & AI Tooling

Pytest & pytest-xdist Unit & E2E Testing LLM / RAG Pipelines OpenAI & Claude APIs HubSpot Webhook Sync TDD Workflow
Career History

Production Engineering Experience

5+ years in the tech ecosystem with 3+ years delivering mission-critical backend features, legacy system modernization, and automated infrastructure at Full Cycle.

Full Stack Engineer

Full Cycle • São Paulo, Brazil
Jul 2025 – Present
Context: Full Cycle is a leading Brazilian software engineering company and developer-education platform focused on microservices and distributed systems. Built internal tooling and automated student-facing workflows.
  • Accelerated page section setup by 90% by engineering reusable Python/Django admin mixins for instant deep-cloning of multi-relational sections.
  • Prevented 100% of unwanted AI API token consumption on disabled courses by engineering granular feature flags in Python/Django with admin controls.
  • Eliminated 100% of manual work by automating challenge evaluations with a PHP/Symfony webhook integration to an AI microservice.
  • Cut manual administrative effort by 90% with a PHP/Symfony API automating diploma credential lifecycles.
Python Django PHP / Symfony AI Microservices Docker

Full Stack Engineer

Full Cycle • São Paulo, Brazil
Jul 2024 – Jun 2025
Context: Focused on performance and infrastructure reliability — upgrading and modernizing legacy Python/Django systems, optimizing database queries and CI/CD pipelines, and reducing infrastructure costs.
  • Increased server performance by 15% through runtime, framework, and dependency upgrades to a production Python/Django sales application.
  • Reduced CI/CD pipeline feedback time by 20% by parallelizing test execution with Python/Django pytest-xdist in Docker.
  • Decreased an endpoint's response time by 20x, identifying and resolving a critical pagination query bottleneck in PHP/Symfony.
  • Cut infrastructure costs by eliminating an always-on worker pod, building a PHP/Symfony API that serves student progress on demand.
Python Django pytest-xdist PHP / Symfony Docker CI/CD

Backend Engineer

Full Cycle • São Paulo, Brazil
Jun 2023 – Jun 2024
Context: Delivered backend features across Python/Django and PHP/Symfony while handling CRM integrations, asynchronous processing, and test infrastructure modernization.
  • Hardened public attack surface: Removed 5 classes of exposed entry points (config, backup, source, dependency, CMS exploit paths) at the Nginx gateway.
  • Prevented sales lead loss from network failures by decoupling CRM sync into a Python/Django Celery task queue with automatic retries on Docker workers.
  • Cut manual sync-recovery effort by 90% with a PHP/Symfony HubSpot sync manager auto-listing failures with one-click admin retries.
  • Reduced student news-feed query latency up to 80% by caching complex multi-join chapter queries with a parameter-based Doctrine result cache.
Nginx Gateway Celery Queues HubSpot API Doctrine Caching PostgreSQL

Software Analyst

Full Cycle • São Paulo, Brazil
Feb 2021 – May 2023
Context: Technical analysis, support, and troubleshooting of distributed software projects. Provided deep code analysis, error identification, and student mentorship across microservice architectures.
Academic Background

Education & Specialized MBAs

A solid foundation combining software engineering, artificial intelligence, software architecture, and business administration.

Full Cycle

MBA in Software Engineering with AI

Advanced AI Agent Architecture, LLM Systems & Distributed Computing

Jul 2025 – Sep 2026
Full Cycle

MBA - Arquitetura Full Cycle

Microservices, Event-Driven Architecture, EDA, Clean Architecture & DevOps

Jan 2023 – Sep 2024
Ampli

Bachelor of Applied Science (BASc)

Computer Software Engineering

May 2022 – May 2025
Universidade Estadual de Feira de Santana (UEFS)

Bachelor of Business Administration (BBA)

Business Administration and Management

Feb 2004 – May 2009
Union University

Master of Christian Studies

Theology, Ethics & Leadership

Dec 2018 – Nov 2024
Engineering Mindset

Why Engineering Teams Hire Gabriel

Core principles that guide my architectural decisions, code quality, and delivery speed.

Business Domain Before Raw Code

The highest-leverage engineering decisions are made by understanding the business domain deeply. With a background in business administration and software engineering, I design systems that optimize revenue flows, eliminate operational friction, and protect margin.

Uncompromising Test Coverage

Building clean, well-tested code is non-negotiable. I back every feature with unit and end-to-end tests using Pytest, pytest-xdist, and automated CI/CD pipelines, giving teams absolute confidence during deployments and refactoring.

Pragmatic AI Integration

I leverage modern AI tools to accelerate development velocity while keeping engineering fundamentals razor-sharp. In production, I implement strict feature flags and cost guardrails so AI integrations remain reliable and cost-effective.

Zero-Downtime Legacy Modernization

Experienced in safely modernizing high-traffic legacy codebases without breaking backward compatibility or interrupting active user traffic. Every migration is staged with clear metrics and validation tests.

Let's Connect

Ready to build something impactful?

I'm available for engineering roles, technical consulting, and high-impact backend contracts. Reach out directly through any channel below.

Based in Brazil (UTC-3) • Open to Remote Globally
Direct Email
gabrielcjr4@gmail.com
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WhatsApp / Phone
+55 75 99276-2777
Chat on WhatsApp
LinkedIn Profile
linkedin.com/in/gabriel-carneiro-jr
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GitHub Repositories
github.com/gabrielcjr
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