Forward Deployment Engineer — Azure AI
New
N
NebiusCloud Infrastructure AI
Remote - EuropeFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Intermediate or higher English
- Experience
- 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, or technical consulting.
- Required Skills
- Machine LearningMicrosoft AzureCI/CDDevOpsTerraform
Requirements
- 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, or technical consulting.
- Strong hands-on experience with Microsoft Azure and the Azure Well-Architected Framework.
- Experience with core Azure AI, machine learning, and platform services.
- Strong experience with Terraform and Infrastructure as Code.
- Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI, or similar.
- Understanding of machine learning model deployment and lifecycle concepts.
- Strong client-facing, consulting, and stakeholder communication skills.
- Intermediate or higher English.
Responsibilities
- Onboard requestor and client projects onto the Azure AI platform using approved runbooks and golden paths.
- Work closely with teams throughout onboarding, go-live, and early operations.
- Apply and adapt Terraform modules and CI/CD pipelines to project workloads.
- Support machine learning workload deployment and lifecycle management on Azure.
- Capture gaps, delivery friction, and feature requests.
- Provide continuous, structured feedback to Platform Engineering.
- Improve runbooks, documentation, and reusable onboarding patterns.
- Uphold security, governance, and compliance guardrails during every onboarding.
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