Solutions Architect – Cloud and MLOps solutions

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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), and Kubernetes.
• Skills of writing code in Python.
• Solid understanding of GPU computing practices for ML training and inference workloads, and GPU software stack components, including drivers and libraries (e.g. CUDA, OpenCL).
• Excellent communication skills.
• Customer-centric mindset.
• Fluent English.

Responsibilities:

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement.
• Conduct 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 align with their needs.
• Design and document Infrastructure as code 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.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.