Stages &amp; Alternances

AI: Intelligent Server and Network Monitoring

Tritux Group •

StageRémunéréDevOps / DockerKubernetes NetworkingData Pipelines (Airflow, Kubeflow)

Develop a real-time server and network surveillance system that leverages AI (via n8n) to enable automatic anomaly detection and automated alerting.

Implementation of an MLOps Pipeline on Kubernetes with Kubeflow

Tritux Group •

StageRémunéréDevOps / DockerKubernetes NetworkingData Pipelines (Airflow, Kubeflow)

Build an automated and scalable pipeline for training, deploying, and monitoring AI models on a Kubernetes cluster.

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AI Assistant for Infrastructure-as-Code (IaC) Generation and Optimization

Tritux Group •

StageRémunéréArtificial Intelligence (AI)TerraformOllama

Design an intelligent assistant capable of automatically generating, analyzing, and optimizing Infrastructure as Code (IaC) to streamline cloud and DevOps deployments.

AI Assistant for Code Review and Optimization Integrated into the IDE

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)Local LLMIDE Plugin

Develop an AI-powered IDE plugin that uses local models to analyze code in real-time, propose optimizations, and ensure adherence to best practices.

Reactive Architecture and Asynchronous Communication

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)BPM/WorkflowsMicroservices Architecture

Design and implement a Backend application using the reactive paradigm and asynchronous communication to ensure high performance and better resilience.

Process Automation Tool

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)BPM/WorkflowsMicroservices Architecture

Design and implement a Business Process Automation (Workflow Automation) tool to manage compliance and contractual processes.

AI: SMS Campaign Optimization with EasyBulk by Integrating WSO2 and N8N

Tritux Group •

StageRémunéréArtificial Intelligence (AI)n8nSpeech Synthesis Models

Develop an intelligent, automated platform (via WSO2 and n8n) to cleanse databases and optimize SMS campaigns using artificial intelligence.

Automation of User Guide and Video Tutorial Generation for Software Applications via n8n

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)n8nSpeech Synthesis Models

Develop a complete automation pipeline using n8n to automatically generate and update user guides and video tutorials.

GitHub Test Campaign Automation with Test Cases, n8n, and Automated Reporting

Tritux Group •

StageRémunéréDevOps / DockerFirebase Cloud Messaging (FCM)Machine Learning (Scikit-learn/Python)

Set up a complete automation pipeline—from the GitHub event to test report generation—using n8n as the orchestration engine.

Smart Notify — Intelligent Notification System

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)Firebase Cloud Messaging (FCM)Machine Learning (Scikit-learn/Python)

Develop an intelligent engine capable of automatically detecting key platform events and triggering personalized notifications, optimized by AI for content and timing.

Data Sanitize Engine: Clean and Optimize Your Databases

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)Machine Learning (Scikit-learn/Python)TensorFlow

Develop an intelligent, AI-powered engine to automatically clean, validate, and optimize databases, improving the reliability and performance of mass message campaigns.

Smart Timing Engine: Send the Right Message at the Right Time

Tritux Group •

StageRémunéréSoftware Engineering (Full-stack Development)Machine Learning (Scikit-learn/Python)TensorFlow

Design an intelligent recommendation engine for the EasyBulk platform that automatically determines the optimal time and message to maximize recipient engagement.

AI/Software development - CL-10 - Multi-Cloud Resources Viewer

Looyas •

StageFull stack .NETIT infrastructure & CloudBusiness Intelligence & KPI Dashboards+2 autres

Deliver a unified dashboard for real-time visibility of resources across multiple cloud providers Aggregate compute, storage, networking, and usage metrics to monitor assets and analyze consumption Provide resource management capabilities from a single interface to simplify multi-cloud operations Technologies/Tools: Backend: Python or Node.js Frontend: React or Vue.js Cloud provider APIs (OCI, GCP) Databases: PostgreSQL, NoSQL REST APIs Authentication and RBAC

MLOps / Data - CL-09 - MLOps for Active Agents

Looyas •

StageBases de données vectorielles & MLOpsObservability & MetricsAI & Data Engineering+2 autres

Implement an MLOps pipeline to monitor, manage, and maintain AI agents in production Collect and validate data continuously; track performance metrics and trigger alerting Ensure agent behavior is reliable, observable, and auditable; enable proactive issue detection Technologies/Tools: Python MLflow or similar experiment tracking Prometheus / Grafana CI/CD pipelines Data validation frameworks Kubernetes (optional)

AI/Cloud / DevOps - CL-08 - Design Agent for Cloud Architecture Visualization

Looyas •

StageVector Databases (FAISS, Chroma)Cloud ArchitectureDevTools+2 autres

Build an intelligent design agent that auto-generates clear, scalable cloud architecture diagrams Visualize components, dependencies, and data flows across cloud environments from user input or inventory Support engineering teams in design, review, documentation, and communication of architectures Technologies/Tools: Python Diagram tools: Mermaid, PlantUML, Draw.io APIs LLMs / AI agents Cloud architecture patterns Optional: Web UI frameworks

AI/Cloud / DevOps - CL-07 - Building AI Tool for Cloud Security

Looyas •

StageVector Databases (FAISS, Chroma)Cloud SecurityDevOps / Docker+2 autres

Develop AI agents to monitor, analyze, and visualize multi-cloud infrastructures Continuously evaluate resources against security best practices and CIS benchmarks Detect misconfigurations, open ports, IAM risks, and availability issues Generate actionable recommendations to improve security posture and compliance Technologies/Tools: Python MCP / agent orchestration frameworks Cloud security tools and provider APIs CIS benchmarks Data visualization tools Cloud SDKs (OCI, GCP, etc.)

Software development - CL-06 - Accountability and Compliance Mechanics

Looyas •

StageBackend (Go)Software Engineering (Full-stack Development)Billing & Invoicing Automation+2 autres

Design and implement accountability and compliance mechanisms for an internal platform managing users, subscriptions, payments, and AI/service usage Track user activity, plans, consumption metrics, billing events, and compliance requirements Build dashboards for subscriptions and usage, automate billing/invoicing, enforce plan rules/limits Implement guardrails: usage caps, plan-based access control, anomaly alerts, and full auditability/traceability Technologies/Tools: Backend: Python, Java, or Node.js Databases: PostgreSQL, MySQL Payments: Stripe, PayPal, or mock billing APIs REST APIs / Webhooks AuthN/Z: RBAC, OAuth2 Dashboarding/reporting, logging and audit trail frameworks

Cloud / DevOps - CL-05 - Custom DNS & Certificate Management for Automated Deployment

Looyas •

StageIT infrastructure & CloudDevOps / DockerDNS+2 autres

Implement automated DNS and certificate management as part of cloud application deployments Dynamically configure DNS records for deployed workloads and manage custom domain names Upload/provision SSL/TLS certificates to meet security and compliance requirements Integrate with deployment pipelines so DNS/cert configuration adapts to new environments, regions, or cloud providers Technologies/Tools: DNS providers (Cloud DNS, OCI DNS, or similar) Certificate management (ACME, cert-manager) Kubernetes Ingress / Load Balancers Terraform CI/CD pipelines Python or Bash

Cloud/DevOps - CL-04 - Unified Migration & Deployment Engine

Looyas •

StageIT infrastructure & CloudOutils de migration de codeKubernetes Networking+2 autres

Project overview: Implement the execution layer of a generic migration framework that consumes mapped plans and automates deployment of cloud resources and data/workload migrations. Scope includes VM migration, database export/import with minimal downtime, Kubernetes workload migration, and object storage synchronization with validation and rollback strategies. Key goals: Automated, repeatable multi-cloud deployments and migrations VM, database, Kubernetes, and object storage migration flows Validation, rollback strategies, and reliability focus Technologies/Tools: Terraform / Pulumi Cloud migration tools (OCI Cloud Migrations, GCP Migrate, etc.) Database migration tools (CDC-based replication, native exporters) Kubernetes (GKE, OKE), Velero Object storage tools (rclone, cloud CLIs) Bash / Python scripting Location: Tunis Profiles: 1 📧 Pour postuler: internships@looyas.com