
Cloud Solution Architect
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Company in Remote - Europe"), this listing's salary midpoint is about 89% lower. The offer sits below the benchmark range (€1,667–€6,000). The listed pay band (€319–€500) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Europe | €1,978/per month | €4,914/per month | €13,713/per month |
| Company in Remote - Europe | €1,667/per month | €2,056/per month | €6,000/per month |
| This job's pay range — not quoted in ad (Mid-Level) | €319/per month | €410/per month | €500/per month |
Nebius is seeking a Middle AI Solution Architect to drive adoption of our high-performance cloud infrastructure by creating educational content. You’ll join our Nebius Academy team with a mission to help developers succeed with Nebius’ cloud offerings. In this role, you’ll focus on communicating technical capabilities and showcasing differences across Nebius products: cloud infrastructure services and Token Factory. This role combines responsibilities of an AI Solution Architect and an Educational Content Author, enabling you to develop skills as a Solution Architect and/or Developer Advocate while collaborating with Nebius AI Engineers and Solution Architects. Your responsibilities will include: Educational content creation; Create technical content demonstrating how to effectively use computing workloads with VMs, GPU clusters, k8s, SLURM, Soperator, etc.; Develop sample code, tutorials, and reference architectures; Create video tutorials and live coding sessions; Help Academy partners build cloud solutions; Collaborate with academic partners to design and document Infrastructure as Code solutions and guides; Act as a trusted advisor to academic partners on GPU cloud technologies. We expect you to have: Strong understanding of cloud infrastructure and distributed computing; Experience with VMs, containerization, and compute resource management; IaC experience (Terraform); Knowledge of GPU clusters and ML workload optimization; Kubernetes and SLURM experience; Networking and storage optimization knowledge; Python proficiency and PyTorch familiarity; Clear technical writing skills. Practical experience: 2+ years in software development, cloud engineering, DevOps or similar; prior work with infrastructure-as-code, containerization, and cloud environments. Nice to have: MLflow, Apache Airflow, Kubeflow; cloud ML platforms (AWS, GCP, Azure ML, NVIDIA NGC); hybrid/on-prem GPU infrastructure; partnerships with technology providers; public speaking. Benefits & Perks include competitive compensation, career growth, flexibility, collaborative culture, and opportunities to work on impactful AI projects in an international environment. What it's like to work at Nebius emphasizes fast-paced innovation, bold thinking, growth, and meaningful impact, with equal opportunity employment and an inclusive environment. Applicants must be authorized to work in the country they apply from. Apply instructions are included on the page.
Job Details

Related Opportunities
Discover more opportunities that match your interests and skills