Senior Backend Tech Lead — Kubernetes for AI Cloud

Nebius Group

City of Amsterdam (NY)

Vor Ort

USD 180.000 - 240.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Competitive compensation
Career growth and learning机会
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI项目
International environment and talented

Zusammenfassung

Nebius is seeking a senior Team Lead for the mk8s Core team to own the API and core control plane for Nebius Kubernetes-based AI infra. You will start as an individual contributor, then assume managerial responsibilities, guiding 4–8 engineers and shaping technical direction.

You will work closely with product and service owners to align technical strategy with product goals, driving scalable, high-availability systems for AI workloads.

Qualifikationen

  • 8+ years of professional software engineering or management experience.
  • Excellent knowledge of Golang, or you are ready to quickly switch to this programming language.
  • Experience with multi-month technical projects and leading engineers.
  • Owning multi-month technical projects and driving outcomes.

Aufgaben

  • Lead by example, writing and reviewing code, guiding projects, and participating in on-call rotation.
  • Manage 4–8 mid-to-senior engineers, provide context and feedback.
  • Maintain the technical vision for your area of responsibility.
  • Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Kenntnisse

Golang
Team leadership
Multi-month projects

Tools

Kubernetes

Jobbeschreibung

Nebius is seeking a senior Team Lead for the mk8s Core team to own the API and core control plane for Nebius Kubernetes-based AI infra. You will start as an individual contributor, then assume managerial responsibilities, guiding 4–8 engineers and shaping technical direction.

You will work closely with product and service owners to align technical strategy with product goals, driving scalable, high-availability systems for AI workloads.

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