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.
Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure.
Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization.
Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform.
Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes.
Work with business stakeholders to clarify.
We expect you to have: 3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure.
Practical experience with Azure compute and integration services.
Our stack includes Azure Functions,.