
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
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1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
• Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense) • Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards • Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting) • Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents • Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes • Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast
• Strong production Linux fundamentals and a structured approach to debugging complex systems • Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) • Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”) • Ability to write and maintain software/automation (Go is common for us; Python is also welcome) • Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows
• 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
Apply Now🕒 5 days ago
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