or apply directly on Nebius's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Nebius's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 9% of Nebius's roles list one
- Ghost-job risk at Nebius
- low 0 stale, 17 reposted of 384 open
- Hiring momentum
- 508 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.
About this role
As a Solutions Architect at Nebius, you will design and implement cloud infrastructure solutions tailored for ML/AI teams, acting as a trusted advisor to clients. Your role involves conducting workshops, optimizing pipeline performance, and collaborating with various teams to ensure effective use of Nebius AI resources. You will also assist in marketing efforts during events and contribute to documentation and technical guidance.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.
What you need
- 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
Nice to 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)
What you get
- 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
Worth weighing
- Remote work option available from Canada
- No specific mention of company culture beyond collaboration and innovation
- Pay transparency indicates a range but does not guarantee a specific salary
- Expectations for customer engagement and technical expertise may require significant travel or client interaction
Summarised from Nebius's posting. Read the full original.
Listed by Nebius on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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