Cloud Solutions Architect

Job not on LinkedIn

February 15

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $125k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

Apply Now

Receive Emails with Similar Jobs

Nebius Group

WebsiteLinkedInAll Job Openings

AI • 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.

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• About Nebius: Launched in November 2023, the Nebius platform provides high-end infrastructure and tools for training, fine-tuning and inference. • We aspire to become the leading AI cloud for AI practitioners around the world. • As an NVIDIA preferred cloud service provider, Nebius offers the latest NVIDIA GPUs. • We are expanding our infrastructure and plan to add new colocation data centers in Europe and North America. • Join Us: We’re excited about AI and ML. If you are too, join us in making continuous improvements and delivering great services.

🎯 Requirements

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) • Excellent communication skills • Customer-centric mindset • Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) • Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) • Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)

🏖️ Benefits

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) Plan: Up to 4% company match with immediate vesting. • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. • Remote Work Reimbursement: Up to $85/month for mobile and internet. • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.