Stage : Ingénieur(e) DevOps & Observabilité F/H

CGI • French: C1 • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 1 day ago
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Location
Hybrid (Montpellier, France)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026.

Overview
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Profile match

CGI

CGI is a Canadian IT and business consulting services firm headquartered in Montreal, Quebec, offering strategic consulting, systems integration, managed IT and application services and its own software products. Founded in 1976 and listed on the Toronto and New York stock exchanges, it employs about 94,000 consultants and professionals worldwide, with large operations in France, Canada, the United States through CGI Federal, the UK and India. Its openings include generative AI developers and tech leads, Java and Angular developers, business analysts, geomatics developers, cloud engineers with security clearance and graduate programmes.
cgi.com • HQ: Montreal, Canada • Management Consulting • IT Outsourcing & Dedicated Teams • Systems Integrators • IT Consulting & Digital Transformation • 5000+ employees • Est. 1976
Tech stack of CGI

Rejoignez CGI, une entreprise de conseil en technologie de l'information et en management. En tant que stagiaire DevOps & Observabilité, vous participerez à la mise en place et à l'amélioration de pipelines CI/CD, à l'automatisation des tâches de déploiement et d'exploitation, et à l'évolution des environnements Docker et Kubernetes. Vous développerez également des scripts Python ou Bash, contribuerez à l'industrialisation des infrastructures, mettrez en œuvre des solutions d'observabilité, et analyserez les performances des applications. Ce stage est une excellente opportunité pour développer vos compétences en DevOps et en observabilité dans un environnement stimulant et innovant.

Missions

  • Participer à la mise en place et à l'amélioration de pipelines CI/CD, automatiser des tâches de déploiement et d'exploitation.
  • Contribuer à l'évolution d'environnements Docker et Kubernetes, développer des scripts Python ou Bash pour fiabiliser les opérations récurrentes.
  • Mettre en œuvre des solutions d'observabilité autour des métriques, logs, traces et alertes, analyser les performances et contribuer à l'amélioration de la fiabilité des applications.
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