Senior Site Reliability Engineer — Token Factory (Inference Platform)

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.

Responsibilities

• Own the reliability, performance, and observability of the entire inference stack.
• Design and refine telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight.
• Tune Kubernetes autoscalers to squeeze more efficiency out of GPUs.
• Craft Terraform modules that bake resilience into every new cluster.
• Harden request‑routing and retry logic so even transient failures go unnoticed by users.
• Detect, isolate, and remediate problems in minutes when incidents arise.
• Drive the post‑mortem culture that prevents recurrence.
• Scale the platform smoothly while hitting aggressive cost and reliability targets.

Qualifications

• Deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure‑as‑code.
• Scripting comfortably in Python or Bash.
• Understanding the nuances of alert design and SLOs for high‑throughput APIs.
• Experience in production environments and knowledge of how distributed back‑ends fail in the real world.
• Experience shepherding GPU‑heavy workloads – whether with vLLM, Triton, Ray, or another accelerator stack.
• Background in MLOps or model‑hosting platforms.
• Passion for building self‑healing systems and debugging performance from kernel to application layer.
• Enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

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.