Educational Content Author – Cloud Solution Architect

Job not on LinkedIn

🔥 4 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Create educational technical content demonstrating effective use of VMs, GPU clusters, Kubernetes, SLURM, and Soperator • Develop sample code, tutorials, and reference architectures for cloud computing and ML infrastructure • Create video tutorials and live coding sessions for Nebius cloud infrastructure • Collaborate with academic partners, including universities such as Stevens and MIT, to understand requirements • Develop solution architectures aligned with academic partners' needs • Design and document Infrastructure as Code solutions, documentation, and technical how-to guides with the Nebius Solutions Architect Team • Advise academic partners on GPU cloud technologies and best practices • Communicate technical capabilities and product differences across Nebius cloud infrastructure services and Token Factory • Help developers succeed with Nebius cloud offerings • Develop toward Solution Architect and/or Developer Advocate responsibilities

🎯 Requirements

• Strong understanding of cloud infrastructure and distributed computing principles • Experience with virtual machines, containerization, and managing compute resources • Experience building with IaC solutions, preferably Terraform • Knowledge of GPU clusters and techniques for optimizing ML workloads • Working knowledge of Kubernetes and SLURM • Familiarity with networking, storage optimization, and resource management • Experience optimizing performance of diverse workloads in cloud environments • Strong programming skills, particularly in Python • Familiarity with the PyTorch ecosystem • Understanding of cloud infrastructure concepts and deployment patterns • Excellent written communication skills and ability to clearly express technical ideas in text • 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role • Demonstrated experience with cloud technologies and infrastructure • Previous work with infrastructure-as-code, containerization, and cloud environments • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Added bonus: Experience with MLflow, Apache Airflow, or Kubeflow • Added bonus: Familiarity with AWS, GCP, Azure ML, or NVIDIA NGC • Added bonus: Experience managing hybrid cloud or on-prem GPU infrastructure • Added bonus: Background working with technology partners and integrating third-party solutions • Added bonus: Public presentation skills

🏖️ Benefits

• 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 • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI • Equal opportunity employer • Inclusive and diverse workplace • Application accommodations available