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Mario Tarosso

Senior Software Engineer · Distributed Systems & Cloud Infrastructure · AWS · Kubernetes · Observability

📍 England, UK · LinkedIn · thedevrealm.com


What I Build

I design and operate distributed systems and cloud-native infrastructure for high-availability, security-critical platforms at enterprise scale.

Currently Lead Engineer at Patchstack — architecting the infrastructure that protects 12,000+ websites against 13,000+ known vulnerabilities for enterprise clients including Hostinger and GoDaddy.

  • 🔧 Architected MCP server infrastructure for AI-driven cybersecurity automation pipelines
  • 📉 Reduced delivery cycles from 6 months → 2 months (67% improvement) via distributed systems modernisation
  • 📊 Designed Prometheus + Grafana observability stack at enterprise scale
  • ⚡ Built event-driven architecture with Kafka for high-volume security intelligence processing
  • 🎮 Previously built and operated high-availability AWS gaming backend at Frontier Developments — latency-sensitive, live production systems with MySQL, DynamoDB, and Redis

Core Stack

Distributed Systems    AWS (ECS, Lambda, CloudFormation) · Kubernetes · Kafka · Redis
Observability          Prometheus · Grafana · Distributed Tracing
Languages              TypeScript · Node.js · Python · PHP · Rust (learning)
Infrastructure         Docker · GitHub Actions · Serverless · Terraform
Databases              MySQL · DynamoDB · Redis · Meilisearch
Architecture           Multi-tenant SaaS · Event-driven · MCP · Microservices · CI/CD

Open Source

Project Description Stars
skeleton-admin Multi-auth Laravel scaffolding — Vue 3, Tailwind, Inertia ⭐ 12
onix-pro Laravel page builder with zero-config Tailwind support ⭐ 42
castle 2-step verification Laravel package with near-zero setup ⭐ 1
biscotto GDPR cookie policy package for Laravel ⭐ 2
devops-laravel-docker-standalone Production-ready Docker setup for Laravel

Founder

The Dev Realm — technical education platform for indie game developers, serving a global community of 10,000+ developers through open-source tooling, tutorials, and courses.


Currently Interested In

  • Large-scale distributed systems and inference infrastructure
  • Observability at massive scale
  • AI-driven automation pipelines and MCP architecture
  • High-reliability, low-latency backend systems

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