●Open to contracts

Ayoub
Nasraoui

I build stable, automated infrastructure so your engineering team can ship code without the drama

I’m a freelance DevOps specialist. I help startups and growing tech companies cut cloud costs, automate messy deployments, and build zero-downtime infrastructure.

Get in touchView projects
Sousse, Tunisia
Msc DevOps&SRE
ayoub@devops ~ zsh
ayoub@devops whoami --json
{
"role": "I build stable, automated infrastructure so your engineering team can ship code without the drama",
"location": "Sousse, Tunisia",
"status": "Open to contracts"
}
ayoub@devops docker ps
CONTAINER ID   IMAGE        STATUS
a3f2c1d9e8b7   payload-cms:v3   Up 4 hours
b1e4d7a6c9f0   postgres-db:16   Up 2 days

ayoub@devops

Capabilities

Skills & Tech Stack

Professional skills

System DesignInfrastructure planningDocumentationContinuous Learning

Systems & Architecture

Linux AdminMicroservicesREST APIsMonitoring & ObservabilityAutomationGit & Github

Databases

PostgreSQLMongoDBRedis

Programming & Scripting

PythonBashJava(Spring boot)Nodejs(Expressjs)

DevOps & Cloud

DockerKubernetesGitHub ActionsAWS

Career

Work Experience

Software& DevOps Engineer
Mobelite Tunis
Feb 2026 - Present

End-of-study project Master's degree in computer science focused on DevOps infrastructure and automation and AI.

  • →Engineered 'Auto-Doc,' Auto Doc is a RAG-powered documentation system that automatically analyzes a codebase (AST + embeddings) to extract structure and generate precise, scoped technical documentation. It turns raw source code into LLM-generated Markdown docs through semantic search and async processing pipelines (jobs/workers), integrated into CI/CD.
  • →Implemented robust, end-to-end security protocols to protect sensitive enterprise data across data ingestion, storage, and LLM inference phases.
  • →Optimized retrieval accuracy and response times, delivering a highly secure and reliable AI tool for stakeholders.
DevOpsAIWeb Platform
Software Engineer
DocStreamSolutions, Monastir
Jan 2024 - Juin 2024 (6 months)

End-of-study project Bachelor degree in computer science focused on Full stack engineering and optimized solution for Healthcare.

  • →Developed ull-scale hospital platform, focusing on robust backend architecture and seamless user experiences for medical staff
  • →Translated complex healthcare requirements into reliable code, ensuring data security and high system availability.
  • →Worked closely with stakeholders to deploy the platform on time, significantly reducing administrative overhead for the client.
Web Platform

Work

Projects

Gym access membership

Gym Access Membership is a SaaS platform that allows small and medium gyms to quickly verify a member’s active membership at the entrance using a secure, fast, and affordable system

  • ·Fast membership verification (seconds) using QR code
  • ·Secure (no sharing or fraud)
  • ·Affordable monthly SaaS pricing
  • ·Works on phone, tablet, or PC
  • ·Works on phone, tablet, or PC
JavaScriptPostgreSQLNodeJS (Express)NextJSGIthub ActionsAWS
View project →
AI Document Processing Platform

A distributed platform that automatically processes uploaded documents (PDFs, invoices, CVs) into structured data with real-time tracking, monitoring, and observability

  • ·File upload system
  • ·Async document processing
  • ·Job queue system
  • ·Real-time job status tracking
  • ·Admin dashboard
  • ·System metrics dashboard
  • ·Containerized microservices
  • ·Kubernetes deployment
  • ·CI/CD pipeline
  • ·Monitoring & alerting
Node.jsExpressMongoDBDockerREST APIsKubernetesNext JSGitAWS
View project →

Let's connect

Get In Touch

Whether you have a project in mind, a role to discuss, or just want to talk DevOps — my inbox is open.

EmailSay helloLinkedInAyoub NasraouiGitHubView code
ayoub@ayoub-devops.com
●Testimonials

Clients  reviews & feedback

Real feedback from clients and collaborators, showcasing the impact of my work through their words.

# empty_set: system is awaiting incoming external reviews.
secure_input_pipe.sh

Establish Feedback Request

// Transmit peer review metrics into the administrative queue pipeline.