Solutions Architect (Cloud Infrastructure and MLOps)

Location: Remote from Singapore

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, and production deployment, covering compute, storage, networking, and applied AI.

What you will do

• Advise clients throughout technical engagements and conduct proofs of concept, workshops, presentations, and training sessions.
• Understand customer requirements and design, document, and implement cloud solution architectures.
• Develop infrastructure as code solutions, technical documentation, and how-to materials with support engineers and technical writers.
• Optimize ML/AI pipeline performance, scalability, and cloud resource utilization.
• Represent customer scenarios to product, technical support, and marketing teams.
• Support hackathons, conferences, workshops, webinars, and other marketing events.

Requirements

• 5+ years of experience as a cloud solutions architect, systems or network engineer, developer, or in a similar cloud-focused technical role.
• Hands-on experience with infrastructure as code and configuration management tools, preferably Terraform or Ansible.
• Experience with Kubernetes and Python programming.
• Understanding of GPU computing for ML training and inference, including GPU drivers, libraries, CUDA, and OpenCL.
• Excellent communication skills and a customer-centric mindset.
• Applicants must be authorized to work in Singapore and provide proof of employment eligibility.

Nice to have

• Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
• Experience with TensorFlow or PyTorch.
• Knowledge of cloud ML tools from NVIDIA, AWS, Azure, or Google.

Culture & Benefits

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