Site Reliability Engineer in Network Infrastructure

Location: Remote - Europe (Amsterdam, Netherlands)

Company

Nebius builds a cloud infrastructure platform for the global AI economy, spanning compute, storage, networking, and applied AI.

What you will do

• Define and own reliability goals for network services and critical paths using SLIs/SLOs, availability targets, and error budgets.
• Drive reliability improvements across the network, including site readiness, inter-site connectivity (DCI), and operational standards.
• Own incident response for your areas: lead investigations/postmortems and implement durable fixes.
• Build and evolve observability with actionable metrics/logs/traces, alerting, and faster debug loops.
• Design safer network change workflows with automation, CI/CD, test/staging, canarying, rollbacks, and auditability.
• Partner with network engineers and platform teams to embed operability into designs.

Requirements

• Strong production Linux fundamentals and a structured approach to debugging complex systems.
• Solid networking fundamentals and understanding of real network failures (control plane vs data plane, latency/loss, failure domains).
• Hands-on experience operating high-availability systems and improving them over time.
• Ability to write and maintain software/automation (Go is common; Python is welcome).
• Experience with modern infrastructure tooling and automating operational workflows (e.g., IaC, CI/CD, container platforms).
• Work location: must be based in Europe.

Nice to have

• Experience with high-throughput traffic processing (load balancers, tunneling/decap, NAT64, datapath-heavy systems).
• Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals).
• Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection).
• Background with large-scale network observability/telemetry (routing/flow telemetry, regression detection at scale).

Culture & Benefits

• Competitive compensation and opportunities for career growth and learning.
• Flexibility and ownership in an engineering-first environment.
• Collaborative, innovative culture with an international team.
• Opportunity to work on impactful AI projects.

Hiring process

• Interviews focused on SRE/network reliability experience and practical problem-solving.
• Discussion of reliability practices, incident ownership, and automation/observability approach.
• Final evaluation of fit for engineering-first collaboration and ownership.