Senior SRE - AI Inference Platform, Scale & Reliability

Nebius

Greater London

Vor Ort

GBP 100.000 - 140.000

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 opportunity
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI
International environment and talented

Zusammenfassung

Nebius in London is building a cutting‑edge AI cloud platform. This role owns the reliability, performance and observability of the entire inference stack, with hands‑on work on GPUs, Kubernetes and scalable cloud infrastructure.

You will implement telemetry pipelines (metrics, logs, traces), tune autoscalers with Kubernetes, craft Terraform modules, and harden routing and retries. You’ll drive post‑mortems to prevent recurrence while pushing for cost‑effective, high‑reliability operations that

Qualifikationen

  • Proven experience with Kubernetes-based infrastructure.
  • Deep knowledge of Prometheus, Grafana, and Terraform.
  • Experience with GPU workloads and ML deployment pipelines.
  • Background in MLOps or model-hosting platforms.

Aufgaben

  • Own reliability, performance and observability of the inference stack.
  • Design telemetry pipelines for metrics, logs and traces.
  • Tune autoscalers and Terraform modules to improve efficiency.
  • Lead post-mortems and drive remediation to prevent recurrence.

Kenntnisse

Python
Bash scripting
SRE fundamentals

Tools

Kubernetes
Prometheus
Grafana
Terraform

Jobbeschreibung

Nebius in London is building a cutting‑edge AI cloud platform. This role owns the reliability, performance and observability of the entire inference stack, with hands‑on work on GPUs, Kubernetes and scalable cloud infrastructure.

You will implement telemetry pipelines (metrics, logs, traces), tune autoscalers with Kubernetes, craft Terraform modules, and harden routing and retries. You’ll drive post‑mortems to prevent recurrence while pushing for cost‑effective, high‑reliability operations that

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