Senior SRE (Search)

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.

Managing Kubernetes clusters across multiple environments and regions 
Owning infrastructure as code for all resources 
Maintaining and improving CI/CD pipelines and GitOps-based deployments 
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors 
Building out monitoring, alerting, and observability 
Debugging production issues across services 
Managing cloud costs and capacity planning 
Working closely with a small engineering team — you'd own infra, not a slice of it 

5-8 years in a DevOps or SRE role, working in production environments 
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale 
Strong Kubernetes experience in a managed cloud environment 
Proficiency with infrastructure as code (Terraform or similar) 
Experience with GitOps-based deployment workflows 
Built or maintained observability stacks (logging, metrics, alerting) 
Experience handling production incidents calmly and methodically 
Multi-region deployments 
Search infrastructure 
Data pipeline experience (streaming, warehousing) 
Proxy/networking infrastructure at scale 
Full ownership — small team, you own the entire infrastructure, not a slice of it 
Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests 
AI-native company — your infra directly powers AI agents used by leading companies in the space.