Solutions Architect

About the role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

Responsibilities

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement.
• Conduct Proof of Concept (PoC), workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that aligns with their needs: design and document Infrastructure as Code (IaC) solutions, documentation, and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Assist the Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.).

Requirements

• 5 - 10 + 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.
• 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.

Qualifications

• 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)

Skills

• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes.
• 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.

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.

Pay

On Target Earnings Range: $250,000—$320,000 USD

Schedule

Remote Work