Nebius

AI cloud platform

DevOpsEngineer(AgenticSearch)

Israel
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“DevOps Engineer (Agentic Search) at Nebius. Skills: Kubernetes, Infrastructure as code, CI/CD, GitOps, Observability, Distributed systems. Managing Kubernetes clusters across multiple environments and regions. Owning infrastructure as code for all resources”

Industry & Context.

AI cloud platform
Problems you'll solve

Debugging production issues across services

What They're Looking For.

Must Have

~3+ years in a DevOps or platform engineering 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, 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

Nice to Have

Multi-region deployments, Search infrastructure, Data pipeline experience (streaming, warehousing), Proxy/networking infrastructure at scale

What You'll Do.

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

Debugging production issues across services

Managing cloud costs and capacity planning

How You'll Work.

Team & Collaboration

Working closely with a small engineering team — you'd own infra, not a slice of it

Full 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. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: DevOps Engineer 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 What we're looking f

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