Partner Solutions Architect

Nebius Group

. Serve as the technical interface between Nebius and strategic technology partners, including data platforms, MLOps vendors, AI frameworks, and ISVs .

Posted 10/21/2026full-timeRemote • United StatesMid-LevelSenior💰 $250,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solutions architecture and partner engineering, with a strong focus on cloud infrastructure, Kubernetes deployments, and integration architecture. Capable of translating technical requirements into actionable solutions while providing leadership in complex deployments and technical collaborations.

Highest-signal resume keywords

Solutions ArchitectureCloud Infrastructure ExpertiseKubernetes DeploymentsInfrastructure as Code (Terraform)Integration Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions ArchitectureCloud InfrastructureKubernetesInfrastructure as CodeTerraformAI Workloads DeploymentAPI DesignData PipelinesPythonIntegration Architecture

Soft Skills

Excellent Communication Skills

Tools & Technologies

TerraformKubernetesAI FrameworksMLOpsData Platforms

Industry Keywords

Cloud PlatformsData PlatformsEnterprise Compliance StandardsHPC EnvironmentsGPU Clusters

Tech Stack

Tools & technologies

CloudKubernetesPythonTerraform

About the role

Key responsibilities & impact

Serve as the technical interface between Nebius and strategic technology partners, including data platforms, MLOps vendors, AI frameworks, and ISVs
Own technical relationships with strategic partners as the primary interface to Nebius engineering and product
Design and architect high-impact integration solutions delivering joint customer value
Build and maintain reference implementations and production-grade integrations
Define enterprise-ready integration patterns for networking, security, compliance, and observability
Translate partner and customer feedback into actionable product and roadmap requirements
Enable partner teams through technical documentation, training, and demo environments
Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting
Influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems

Requirements

What you’ll need

5–10+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
Deep cloud infrastructure expertise
Specialist experience in large-scale Kubernetes deployments and containerized environments
Strong hands-on experience with Infrastructure as Code, especially Terraform
Hands-on experience deploying production AI workloads, particularly inference, and architecting or implementing agentic solutions
Proven background in integration architecture, including API design, data pipelines, security, and observability
Experience with Python
Excellent communication skills with the ability to engage technical and non-technical audiences
Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
Added bonus: experience with HPC environments and large-scale GPU clusters
Added bonus: hands-on experience across the ML lifecycle, including training, fine-tuning, and RAG
Added bonus: practical experience building AI agents, particularly with LangChain
Added bonus: experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards
Added bonus: deep understanding of advanced Kubernetes infrastructure concepts beyond managed Kubernetes services

Benefits

Comp & perks

100% company-paid medical, dental, and vision coverage for employees and families
Up to 4% company match with immediate vesting through the 401(k) Plan
20 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers
Up to $85/month remote work reimbursement for mobile and internet
Company-paid short-term, long-term, and life insurance coverage
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