3 months ago
Israel (city not specified)Mid Level
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 processing billions of events per day across distributed queues and stream processors.
- Build monitoring, alerting, and observability capabilities.
- Debug production issues across services.
- Manage cloud costs and capacity planning.
- Own the infrastructure function while working closely with a small engineering team.
Requirements
- At least 3 years of experience in a DevOps or platform engineering role in production environments.
- Experience designing and operating large-scale distributed systems with knowledge of API design, reliability, and performance at scale.
- Strong experience with Kubernetes in a managed cloud environment.
- Proficiency with Terraform or a similar infrastructure-as-code tool.
- Experience with GitOps-based deployment workflows.
- Experience building or maintaining logging, metrics, and alerting observability stacks.
- Ability to handle production incidents calmly and methodically.
- Multi-region deployment experience is preferred.
- Search infrastructure experience is preferred.
- Streaming and warehousing data pipeline experience is preferred.
- Proxy and networking infrastructure experience at scale is preferred.
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
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
Tech Stack
Categories
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.