Pedro Janeiro

Backend & Infrastructure Engineer

Building robust, scalable systems and infrastructure solutions. Specializing in cloud architecture, microservices, and DevOps practices.

About Me

I'm a passionate backend and infrastructure engineer with expertise in designing and implementing scalable, reliable systems. My focus is on building robust architectures that can handle high-traffic applications while maintaining performance and reliability.

With experience in cloud platforms, containerization, and modern DevOps practices, I help teams deliver software faster and more reliably. I enjoy solving complex technical challenges and optimizing systems for performance and cost-efficiency.

Technical Skills

Backend Development

  • Python, Go, Node.js
  • REST APIs & GraphQL
  • Microservices Architecture
  • Message Queues (RabbitMQ, Kafka)
  • Database Design & Optimization

Infrastructure & DevOps

  • AWS, GCP, Azure
  • Docker & Kubernetes
  • CI/CD Pipelines
  • Infrastructure as Code (Terraform)
  • Monitoring & Observability

Databases & Storage

  • PostgreSQL, MySQL
  • MongoDB, Redis
  • Elasticsearch
  • Data Modeling
  • Query Optimization

Tools & Practices

  • Git & Version Control
  • Agile & Scrum
  • Security Best Practices
  • Performance Testing
  • System Design

Professional Experience

2020 - Present

Senior Backend Engineer

Company Name

  • Designed and implemented microservices handling 1M+ requests/day
  • Reduced infrastructure costs by 40% through optimization
  • Led migration from monolith to microservices architecture
  • Implemented comprehensive monitoring and alerting systems
2018 - 2020

DevOps Engineer

Previous Company

  • Built and maintained CI/CD pipelines for 20+ services
  • Implemented Kubernetes clusters for production workloads
  • Automated infrastructure provisioning with Terraform
  • Improved deployment frequency by 300%

Featured Projects

Distributed Task Queue System

High-performance distributed task queue built with Go, supporting millions of jobs daily. Features include priority queuing, retry mechanisms, and real-time monitoring.

Go Redis Docker Prometheus

Cloud Infrastructure Automation

Comprehensive infrastructure-as-code solution for multi-cloud deployments. Automated provisioning, scaling, and management of cloud resources.

Terraform AWS Python GitLab CI

Real-time Analytics Pipeline

Scalable data pipeline processing billions of events for real-time analytics. Built with stream processing and optimized for low latency.

Kafka Spark Elasticsearch Kubernetes

Get In Touch

I'm always interested in discussing new opportunities and challenging projects. Feel free to reach out if you'd like to connect!