Azure Platform Engineer

Posted 3 Days Ago
Be an Early Applicant
Amsterdam
In-Office
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
Design, deploy, and operate secure, scalable Azure environments using IaC and CI/CD. Implement networking, identity/RBAC, monitoring, HA/DR, governance and cost optimization. Support cloud-native workloads, maintain documentation, and collaborate with engineering teams.
Summary Generated by Built In

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Azure Platform Engineer

Nebius is building a high-performance AI cloud platform, and we are looking for an Azure Platform Engineer to design, deploy, and operate secure, scalable, and production-grade Azure environments.
You will be responsible for building and maintaining cloud infrastructure, implementing CI/CD pipelines, and ensuring platform reliability, governance, and cost efficiency.

Requirements

  • 6+ years of hands-on experience with Microsoft Azure in production environments.
  • Strong experience with Infrastructure as Code: Terraform (preferred) / Bicep / ARM
  • Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, or similar).
  • Solid understanding of: Azure Networking (VNet, Peering, NSG, Private Endpoints, Load Balancers, Application Gateway) Compute services (VMs, VMSS, AKS) Storage and PaaS services
  • Experience with Azure RBAC, Managed Identities, and Microsoft Entra ID.
  • Knowledge of monitoring and logging: Azure Monitor, Log Analytics, Application Insights
  • Experience implementing high availability and disaster recovery strategies.
  • Scripting skills (PowerShell, Bash, or Python).
  • Good understanding of cloud governance, policies, and cost management.
  • Intermediate or higher English.

Responsibilities

  • Design and manage Azure subscriptions and landing zones.
  • Deploy and manage infrastructure using Infrastructure as Code.
  • Build and maintain CI/CD pipelines for infrastructure and application deployments.
  • Implement secure networking and access control models.
  • Ensure platform reliability, scalability, and performance.
  • Monitor infrastructure health and optimize costs.
  • Enforce Azure Policies and governance standards.
  • Collaborate with engineering teams to support cloud-native workloads.
  • Maintain documentation and architectural standards.

Nice to Have

  • Experience with AKS in production.
  • Knowledge of Kubernetes and container networking.
  • Azure certifications (AZ-104, AZ-305, or equivalent)

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Top Skills

Microsoft Azure,Terraform,Bicep,Arm,Azure Devops,Github Actions,Gitlab Ci,Vnet,Peering,Nsg,Private Endpoints,Load Balancer,Application Gateway,Vms,Vmss,Aks,Azure Storage,Azure Paas,Azure Rbac,Managed Identities,Microsoft Entra Id,Azure Monitor,Log Analytics,Application Insights,Azure Policies,Powershell,Bash,Python,Kubernetes,Container Networking,Az-104,Az-305
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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