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Описание вакансии
Текст:
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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