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DevOps Engineer (Agentic Search)Nebius · Israel
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Nebius

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DevOps Engineer (Agentic Search)

🗓️ Posted 2026-09-01 Israel Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

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, Nebius owns the hard problems across compute, storage, networking and applied AI, from large-scale GPU orchestration to inference optimization. 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. Tavily is building the infrastructure layer for agentic web interaction at scale, with an API 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, Tavily helps developers build agents that are not only intelligent - but also informed. Tavily works with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale, serving as the missing link between LLMs and the real world for applications like sales assistants, research copilots, or internal knowledge tools.

Responsibilities

  • ● 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 optimizing 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.

Requirements

  • ● 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.
  • ● 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 (nice to have).
  • ● Search infrastructure (nice to have).
  • ● Data pipeline experience (streaming, warehousing) (nice to have).
  • ● Proxy/networking infrastructure at scale (nice to have).