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Full-time
Competitive compensation, Career growth and learning opportunities, Flexibility and ownership, Collaborative and innovative culture
Posted 7d ago
~40 hrs/week
Responsibilities
You will act as a bridge between the Azure AI platform and client teams, managing project onboarding and early operations. Additionally, you will provide structured feedback to Platform Engineering to improve runbooks and deployment patterns.
Requirements
Candidates must have 5–8 years of experience in cloud or platform engineering with strong expertise in Microsoft Azure and Infrastructure as Code. Proficiency in CI/CD pipelines and a solid understanding of machine learning model lifecycles are essential.
Full job description
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is building a high-performance AI cloud platform, and we are looking for a Forward Deployment Engineer to act as the hands-on bridge between our Azure AI platform and requestor or client teams. You will onboard projects using established runbooks and golden paths, support teams through early operations, and channel real-world delivery feedback back into 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.
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.
Nice to Have
Azure Machine Learning or Azure AI Foundry.
AKS, Kubernetes, and containerisation.
Python scripting and automation.
Experience with Azure OpenAI, LLM, agent, or RAG workloads.
Previous solutions engineering, customer engineering, or consulting experience.
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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Related keywords
Azure AICloud engineeringPlatform engineeringDevOpsSolution engineeringTechnical consultingAzure Well-Architected FrameworkTerraformInfrastructure as CodeCI/CDGitHub ActionsAzure DevOpsGitLab CIMachine learningAzure Machine LearningAzure AI Foundry
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
Offices: Amsterdam, NL · Tel Aviv, IL · Belgrade, RS · San Francisco , US · Mantsala, FI
Cloud and AIInformation TechnologyPaaSIaaSCloud StorageGPUCloud Data ServicesArtificial Intelligence (AI)Cloud InfrastructureAI Infrastructure
How many Engineering jobs are open in Reims, France right now?
There are currently 128 open engineering positions in Reims, France listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Reims, France?
Companies currently hiring include JustMarkets, Nebius, Eurofins Viracor, Migen, Bureau Veritas do Brasil, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Reims, France?
Yes — 76 of the 128 open engineering positions offer remote or hybrid work (66 remote, 10 hybrid).
How do I apply for Engineering jobs in Reims, France?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.