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Senior Software Engineer (Serverless)

Nebius· Backend
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Hybrid (Amsterdam), Hybrid (London)Posted 2mo ago

About the role

Senior Software Engineer to build Nebius Serverless AI platform (GPU-native) for deploying inference endpoints, batch jobs, and AI workloads with end-to-end ownership from runtime to API contracts. Hybrid work in Amsterdam or London.

Responsibilities

  • Design and build core components of the Serverless platform — the control plane, scheduler, runtime, autoscaler, and the APIs customers integrate against.
  • Own the hardest engineering problems on the service: cold-start latency, GPU scheduling under contention, multi-tenant isolation, fair-share quotas, request routing at the edge.
  • Set the technical direction for the areas you own — drive architecture decisions, write the design docs, and align the team behind the chosen approach.
  • Raise the engineering bar across the team through code reviews, design reviews, and example — the kind of senior presence that compounds.
  • Run the service like an SRE: define SLOs, build observability, lead incident response, and make sure every postmortem changes the platform, not just the runbook.
  • Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template.
  • Partner closely with Product, GTM, and infrastructure teams to translate customer needs into a coherent technical roadmap.

Qualifications

  • 7+ years of professional software engineering experience, with a track record of shipping production distributed systems at scale.
  • Excellent knowledge of Golang, or you are ready to quickly switch to it.
  • Deep experience with Kubernetes and container orchestration — you've operated it in anger, not just deployed it.
  • Strong distributed-systems instincts: consistency vs. availability trade-offs, queueing, backpressure, retries, idempotency, multi-tenancy.
  • Experience designing and operating high-throughput, low-latency services — you know where the milliseconds go and how to get them back.
  • A history of being the engineer others look to on hard problems — driving design discussions, unblocking teammates, and shipping the thing nobody else wanted to touch.
  • Ability to write reliable code and dig into complex problems.
  • Teamwork-oriented approach.

Skills

Required:Software engineering (distributed systems)Go (Golang)Kubernetes

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
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Nebius

The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

AI CloudToken FactoryGPUKubernetesSlurmManaged servicesTerraformAPI
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