Назад
7 дней назад

DevOps Engineer (Agentic Search)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
DevOps Engineer (Agentic Search) (Kubernetes/Terraform): Managing and scaling cloud infrastructure, deployment systems, and real-time data pipelines that power agentic web interaction with an accent on reliability, observability, and distributed systems performance. Focus on operating multi-environment Kubernetes clusters, building infrastructure as code and GitOps workflows, and solving production challenges across high-volume AI workloads.

Location: Israel

Company

Nebius is building a full-stack AI cloud platform, while Tavily provides infrastructure and APIs for agentic web interaction, RAG, and real-time reasoning systems.

What you will do

  • Manage Kubernetes clusters across multiple environments and regions.
  • Own infrastructure as code for cloud resources using Terraform or similar tools.
  • Maintain and improve CI/CD pipelines and GitOps-based deployments.
  • Optimize real-time data pipelines processing billions of events per day across distributed queues and stream processors.
  • Build monitoring, alerting, and observability capabilities.
  • Debug production incidents, manage cloud costs, and plan infrastructure capacity.

Requirements

  • 3+ years of experience in DevOps or platform engineering in production environments.
  • Experience designing and operating large-scale distributed systems, including API design, reliability, and performance.
  • Strong Kubernetes experience in a managed cloud environment.
  • Proficiency with infrastructure as code, such as Terraform.
  • Experience with GitOps deployment workflows and observability stacks covering logging, metrics, and alerting.
  • Ability to handle production incidents calmly and methodically.

Nice to have

  • Experience with multi-region deployments and search infrastructure.
  • Experience with streaming data pipelines and data warehousing.
  • Experience with proxy or networking infrastructure at scale.

Culture & Benefits

  • Full ownership of the infrastructure within a small engineering team.
  • Opportunity to solve real scaling challenges involving bursty workloads, cache invalidation, multi-region systems, and millions of daily requests.
  • Career growth and learning opportunities.
  • Flexible, collaborative, and innovative work environment.
  • Opportunity to work on impactful AI projects in an international environment.
  • Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.

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