About the role
TL;DR
Onboard projects to Azure AI platform and support client teams.
- •Nebius is building a high-performance AI cloud platform and is looking for a Forward Deployment Engineer to act as the hands-on bridge between their Azure AI platform and client teams.
- •You will onboard projects, support teams through early operations, and channel real-world feedback back into Platform Engineering.
- •Key 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.
- •Provide continuous, structured feedback to Platform Engineering.
- •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.
Required skills
AzureTerraformCI/CDPythonGitHub ActionsGitLab CI
Nice-to-have skills
KubernetesDockerLLMsLangChain
Domain expertise
ai
Benefits & perks
Competitive compensation, Career growth and learning opportunities, Flexibility and ownership, Collaborative and innovative culture, Opportunity to work on impactful AI projects, International environment and talented teams
Tech stack
AzureTerraformGitHub ActionsGitLab CIPythonKubernetesDockerCI/CD