Solutions Architect

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The platform covers GPU orchestration, inference optimization, compute, storage, networking, and applied AI.

Role

We are seeking a customer-focused Solutions Architect specializing in cloud infrastructure and MLOps. You will design and implement solutions for clients using cloud technologies for ML/AI teams, becoming a trusted technical advisor for building their pipelines. This role can be performed remotely from Canada.

Responsibilities

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements.
• Conduct proofs of concept, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Understand customer business requirements and develop solution architectures aligned with their needs.
• Design and document infrastructure-as-code solutions, documentation, and technical how-to guides in collaboration with support engineers and technical writers.
• Help customers optimize pipeline performance and scalability for efficient utilization of cloud resources and Nebius AI services.
• Serve as the primary subject-matter expert for customer scenarios across product, technical support, and marketing teams.
• Assist the Marketing department with events, including hackathons, conferences, workshops, and webinars.

Requirements

• 5–10+ years of experience as a cloud solutions architect, systems or network engineer, developer, or in a similar technical role focused 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 infrastructure-as-code and configuration management tools, preferably Terraform and Ansible.
• Experience with Kubernetes.
• Ability to write code in Python.
• Solid understanding of GPU computing practices for ML training and inference workloads.
• Understanding of GPU software stack components, including drivers and libraries such as CUDA and OpenCL.
• Excellent communication skills.
• Customer-centric mindset.

Preferred Qualifications

• Hands-on experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of cloud ML tools from industry leaders, including NVIDIA, AWS, Azure, and Google.

Compensation

The on-target earnings range is $235,000–$300,000 CAD. Actual compensation depends on job-related factors, including experience, skills, qualifications, hiring level, and geographic location.

Benefits

• 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.

Nebius is an equal opportunity employer committed to an inclusive and diverse workplace. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Accommodations are available during the application process.