AI Summary
We are seeking an experienced Azure Cloud Engineer to support the acceleration of a global AI Factory initiative by strengthening cloud architecture, security, and operational excellence. The ideal candidate will have strong skills in Microsoft Azure, Cloud Infrastructure, Architecture, and Azure Automation expertise. Strong understanding of enterprise networking, identity management, cloud governance, and operational resilience is required.
Key Highlights
Designing, validating, and refining cloud architectures
Implementing and enhancing Azure landing zones and cloud-native services
Ensuring secure and compliant identity and access management (IAM) across cloud workloads
Key Responsibilities
Designing, validating, and refining cloud architectures
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
Benefits & Perks
Remote work
Flexible work arrangement
Nice to Have
Experience supporting AI/ML, data, and cloud-native engineering teams
Job Description
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.
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- 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.
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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.
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