Senior Site Reliability Engineer (Agentic Search)
Salary not listed • Israel • Full-time
Posted 2mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Infrastructure Engineer
About the job
Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data training to production deployment. Tavily, a part of Nebius, is developing the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. This role is for a Senior Site Reliability Engineer who will manage Kubernetes clusters, own infrastructure as code, maintain CI/CD pipelines, and optimize real-time data pipelines. The engineer will also be responsible for building monitoring and alerting systems, debugging production issues, managing cloud costs, and collaborating closely with a small engineering team to own the entire infrastructure.
Responsibilities
- Manage Kubernetes clusters across multiple environments and regions.
- Own infrastructure as code for all resources.
- Maintain and improve CI/CD pipelines and GitOps-based deployments.
- Maintain and optimize real-time data pipelines across distributed queues and stream processors.
- Build monitoring, alerting, and observability systems.
- Debug production issues across services.
- Manage cloud costs and capacity planning.
Requirements
- 5-8 years in a DevOps or platform engineering role in production environments.
- Proven experience designing and operating large-scale, distributed systems.
- Solid understanding of API design, reliability, and performance at scale.
- Strong Kubernetes experience in a managed cloud environment.
- Proficiency with infrastructure as code (e.g., Terraform).
- Experience with GitOps-based deployment workflows.
- Experience building or maintaining observability stacks (logging, metrics, alerting).
- Experience handling production incidents calmly and methodically.
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams