Solutions Architect

Job summary

Act as a trusted technical advisor to clients, designing and implementing cloud infrastructure and MLOps solutions. Conduct workshops and training sessions while collaborating with internal teams to optimize pipeline performance and scalability.

Job details

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. 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. You’re welcome to work remotely from Canada. Your responsibilities will include: 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. Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: 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 Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience. 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 It will be an added bonus if you have: 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) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. On Target Earnings Range $235k - $300k CAD Benefits & Perks: 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 What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

What you’ll do

Act as a trusted technical advisor to clients, designing and implementing cloud infrastructure and MLOps solutions. Conduct workshops and training sessions while collaborating with internal teams to optimize pipeline performance and scalability.

Requirements

Requires 5-10+ years of experience in cloud solutions architecture or similar technical roles with strong hands-on skills in IaC, Kubernetes, and Python. Candidates must possess a solid understanding of GPU computing practices for ML workloads and hold a bachelor's degree or equivalent.

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment

Listed skills

• Kubernetes · Preferred
• Terraform · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Cloud infrastructure
• MLOps
• Solutions architecture
• Terraform
• Ansible
• Kubernetes
• Python
• GPU computing
• ML training
• Inference workloads
• CUDA
• OpenCL
• HPC orchestration
• Kubeflow
• TensorFlow
• PyTorch
• Google Pay
• Full Stack Development
• Pipelines
• MLOps (Machine Learning Operations)
• AI/ML Inference
• Machine Learning Model Training
• Infrastructure as Code (IaC)
• Artificial Intelligence
• Amazon Web Services
• Microsoft Azure
• Business Requirements
• Customer Service
• Cloud Computing
• Cloud Infrastructure
• Configuration Management
• Communication
• Nvidia CUDA
• Economics
• General-Purpose Computing On Graphics Processing Units
• Marketing
• Scalability
• Innovation
• Environmental Protocols
• Python (Programming Language)
• Machine Learning
• Presentations
• Solution Architecture
• High Performance Computing
• Deep Learning
• Cloud Technologies
• Slurm (Batch Scheduling Software)
• PyTorch (Machine Learning Library)

Job areas

• Technology
• Software
• Engineering
• Data & Analytics
• Customer Service & Support
• Solutions Architect
• Solutions / Application Architect
• Software Developers

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