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Nebius Group
Nebius Group
1001 – 5000 Darbinieki
Mākslīgais intelektsSaaSUzņēmums
Nebius Group izstrādā mākslīgā intelekta infrastruktūru organizācijām, kas veido un izmanto prasīgas mākslīgā intelekta darba slodzes. Uzņēmuma galvenais piedāvājums ir mākslīgajam intelektam paredzēta mākoņplatforma, kas apvieno skaitļošanas jaudu, datu glabātuvi un izstrādātāju rīkus. Plašākajā produktu klāstā ietilpst arī ģeneratīvais mākslīgais intelekts, izglītības tehnoloģijas un autonomās tehnoloģijas. Uzņēmuma galvenā mītne atrodas Eiropā, un tas ir kotēts Nasdaq biržā. Uzņēmums darbojas starptautiski, un tam ir pētniecības un izstrādes centri Eiropā, Ziemeļamerikā un Izraēlā, radot iespējas komandām, kas strādā mākoņdatošanas, uzņēmumu programmatūras un mākslīgā intelekta inženierijas jomā.
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Vakances uzņēmumā

Partner Solutions Architect

Connect Nebius’s AI cloud with strategic technology partners through production-ready integrations. Equip partner teams and help shape the product roadmap with insights from customers and the field.

USAmerikas Savienotās Valstis
250 000 $ – 320 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuRisinājumu inženieris
KubernetesMākonisPythonTerraform

Apraksts

  • Act as Nebius’s technical contact for partners across data platforms, MLOps, AI frameworks, and independent software vendors.
  • Manage partner technical relationships and coordinate with Nebius engineering and product teams.
  • Architect integrations that create meaningful value for shared customers.
  • Develop and maintain reference implementations and production-ready integrations.
  • Establish enterprise integration patterns for networking, security, compliance, and observability.
  • Turn partner and customer input into clear product and roadmap needs.
  • Support partner teams with technical documentation, training, and demonstration environments.
  • Lead technical work in customer deployments, architecture reviews, and complex troubleshooting.
  • Contribute to Nebius’s product direction and strengthen technical collaboration across partner ecosystems.

Prasības

  • Bring 5–10 or more years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
  • Hold a bachelor’s degree or equivalent foreign qualification in a related field, or have an equivalent combination of education and relevant experience.
  • Have deep expertise in cloud infrastructure.
  • Bring specialist experience with large-scale Kubernetes deployments and containerized environments.
  • Have strong practical experience with Infrastructure as Code, particularly Terraform.
  • Have deployed production AI workloads, especially inference, and designed or implemented agent-based solutions.
  • Have a proven background in integration architecture, including API design, data pipelines, security, and observability.
  • Have experience with Python.
  • Communicate effectively with both technical and non-technical audiences.
  • Be authorized to work in the country of application and able to provide proof of employment eligibility.
  • Additional advantage: experience with high-performance computing environments and large GPU clusters.
  • Additional advantage: hands-on experience across the machine learning lifecycle, including training, fine-tuning, and retrieval-augmented generation.
  • Additional advantage: practical experience building AI agents, particularly with LangChain.
  • Additional advantage: experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards.
  • Additional advantage: deep knowledge of advanced Kubernetes infrastructure beyond managed Kubernetes services.

Priekšrocības

  • The company covers the full cost of medical, dental, and vision plans for employees and their families.
  • 401(k) plan with a company match of up to 4%, vested immediately.
  • Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
  • Remote work reimbursement of up to $85 per month for mobile and internet expenses.
  • Company-paid short-term disability, long-term disability, and life insurance.
  • Competitive compensation.
  • Opportunities for career development and learning.
  • Flexibility and ownership in the work.
  • A collaborative, innovative culture.
  • The chance to contribute to impactful AI projects.
  • An international workplace with talented teams.

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