Staff Network Site Reliability Engineer

at Nebius

📍 United States

USD 179,500-224,300 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CI/CD @ 4 Debugging @ 7 IaC @ 4 Linux @ 7 Networking @ 4 Observability Python @ 6

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

Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar 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 (e.g., routing/flow telemetry, regression detection at scale)