Senior Site Reliability Engineer — Token Factory (Inference Platform)

Nebius Group; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Competitive pay

Career growth

Flexibility

Collaborative culture

Impactful AI projects

International team

Job summary

Nebius is seeking an experienced Site Reliability Engineer to own the reliability, performance, and observability of the full inference stack. You will design telemetry pipelines, tune Kubernetes autoscalers, and craft Terraform modules to ensure cost efficiency and resilience.

You’ll respond to incidents, drive post-morts, and collaborate with software engineers to turn reliability into a product feature. This role requires deep experience with Kubernetes, Prometheus, Grafana, Terraform, and

Qualifications

• Deep fluency with Kubernetes, Prometheus, Grafana, and Terraform.
• Proficiency in Python or Bash scripting.
• Production experience with GPU-heavy workloads (vLLM, Triton, Ray).
• Background in MLOps or model-hosting platforms; focus on reliability.

Responsibilities

• Own reliability, performance, and observability of the inference stack.
• Design telemetry pipelines—metrics, logs, traces—to drive insight.
• Tune Kubernetes autoscalers to improve GPU efficiency and cost.
• Craft Terraform modules to bake resilience into new clusters.
• Harden request-routing and retry logic and drive post-mortems to prevent recurrence.

Skills

SRE practices

Distributed systems

Observability

Incident response

Tools

Kubernetes

Prometheus

Grafana

Terraform

Python

Bash

vLLM

Triton

Ray

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request‑routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you'll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post‑mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure‑as‑code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high‑throughput APIs, and have spent enough time in production to know how distributed back‑ends fail in the real world. Experience shepherding GPU‑heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model‑hosting platforms. Above all, you care about building self‑healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we'd love to hear your story.

Benefits & Perks:

• 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

What's it like to work at Nebius:

Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.