Senior Azure Cloud Engineer

Free-Work France
Remote
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AI Summary

Contribute to accelerating a global AI Factory initiative by strengthening cloud architecture, security, and operational excellence. Design, validate, and refine cloud architectures aligned with enterprise infrastructure and cybersecurity standards. Implement and enhance Azure landing zones and cloud-native services.

Key Highlights
Shape and validate enterprise-grade Azure cloud environments for AI and data-driven solutions
Implement and enhance Azure landing zones and cloud-native services
Ensure secure and compliant identity and access management (IAM) across cloud workloads
Key Responsibilities
Designing, validating, and refining cloud architectures aligned with enterprise infrastructure and cybersecurity standards
Implementing and enhancing Azure landing zones and cloud-native services
Ensuring secure and compliant identity and access management (IAM) across cloud workloads
Managing cloud networking, monitoring, governance, and cost control
Supporting CI/CD, DevSecOps, and automation practices for AI solution deployment
Technical Skills Required
Microsoft Azure Cloud Infrastructure Architecture Azure Automation Cybersecurity Awareness Enterprise Networking Identity Management (Azure AD) Cloud Governance Operational Resilience
Benefits & Perks
Remote work from anywhere within Europe
Collaborative and enabling global team
Nice to Have
Experience supporting AI/ML, data, and cloud-native engineering teams

Job Description


Vous êtes un ingénieur Azure Cloud expérimenté et possédez une expertise approfondie dans la mise en place d'infrastructures cloud sécurisées et évolutives pour les charges de travail liées aux données et à l'IA ?

emagine vous offre l'opportunité de contribuer à l'accélération d'une initiative mondiale d'usine d'IA en renforçant l'architecture cloud, la sécurité et l'excellence opérationnelle.

Are you an experienced Azure Cloud Engineer with deep expertise in building secure, scalable cloud foundations for data and AI workloads?

emagine has an opportunity for you to support the acceleration of a global AI Factory initiative by strengthening cloud architecture, security, and operational excellence.

Key Tasks & Deliverables

You will play a central role in shaping and validating enterprise‑grade Azure cloud environments for AI and data-driven solutions.

Your responsibilities will include:

  • Designing, validating, and refining cloud architectures aligned with enterprise infrastructure and cybersecurity standards.
  • Implementing and enhancing Azure landing zones and cloud‑native services.
  • Ensuring secure and compliant identity and access management (IAM) across cloud workloads.
  • Managing cloud networking, monitoring, governance, and cost control.
  • Supporting CI/CD, DevSecOps, and automation practices for AI solution deployment.
  • Providing hands‑on technical support to development teams throughout build and release phases.
  • Troubleshooting complex Azure issues and contributing to risk mitigation and security assessments.
  • Ensuring all delivered solutions are production‑ready, scalable, secure, and compliant.


Skills & Experience

  • Senior Cloud Engineer with strong skills in Microsoft Azure, Cloud Infrastructure, Architecture.
  • Also Azure Automation expertise and good Cybersecurity Awareness.
  • Strong understanding of enterprise networking, identity management (Azure AD), cloud governance, and operational resilience.
  • Ability to collaborate with infrastructure and cybersecurity teams to ensure architectural consistency and compliance.
  • Experience supporting AI/ML, data, and cloud‑native engineering teams is highly desirable.


Why Join?

You'll be working with a collaborative, enabling global team, while operating autonomously within your domain. You can work remotely from anywhere within Europe, supporting high‑impact initiatives that are scaling rapidly.

Apply

Apply with your latest CV or reach out to Brendan to find out more.

Profil candidat:

Ingénieur cloud senior possédant de solides compétences en Microsoft Azure, en infrastructure cloud et en architecture. Expertise en automatisation Azure et bonne connaissance de la cybersécurité. Excellente compréhension des réseaux d'entreprise, de la gestion des identités (Azure AD), de la gouvernance cloud et de la résilience opérationnelle. Capacité à collaborer avec les équipes chargées de l'infrastructure et de la cybersécurité afin de garantir la cohérence et la conformité de l'architecture. Une expérience dans le soutien aux équipes d'ingénierie IA/ML, données et cloud native est fortement souhaitable.

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