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Partner Solutions Architect

2 months, 3 weeks ago
Europe
Full-time
Senior
Solutions Architect
Software Development
AWS Azure Databricks GCP MLOps Python Snowflake
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 76

Description

  • Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product teams.
  • Design and architect high-impact integration solutions that create clear value for joint customers.
  • Build and maintain reference implementations and production-grade integrations.
  • Define enterprise-ready integration patterns across networking, security, compliance, and observability.
  • Translate partner and customer feedback into actionable product and roadmap requirements.
  • Enable partner engineering teams through technical documentation, training, and demo environments.
  • Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting.
  • Influence Nebius’ product roadmap through deep technical collaboration across partner ecosystems.

Requirements

  • 5+ years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
  • Strong expertise in cloud infrastructure.
  • Hands-on experience with GPU-accelerated AI/ML workflows, including training, inference, and MLOps.
  • Proven background in integration architecture, including API design, data pipelines, security, and observability.
  • Experience with Python and infrastructure-as-code (IaC) tools.
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
  • Track record of building or scaling partner technical programs or ecosystems is preferred.
  • Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP is preferred.
  • Background in the ML lifecycle, including training pipelines, fine-tuning, inference optimization, and RAG, is preferred.
  • Must be authorized to work in the country of application and provide proof of employment eligibility.

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.
  • Option to work from Amsterdam or remotely from any EU country.

Interested in this position?

Apply directly on the company website

Apply Now

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