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Site Reliability Engineer in Network Infrastructure
ICT
💰 Salary Not shared
📊 Market 6,000 EUR–9,000 EUR/mo (72,000 EUR–108,000 EUR/yr)
About the Company
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Role
We're looking for a Site Reliability Engineer to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you'll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly.
Responsibilities
- ● 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
Requirements
- ● 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)
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