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Nebius

Runs GPU clouds for AI training and deployment

Staff Network Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeUnited States$179.5k - $224.3kIn-person

About the Job

Requirements

  • Strong production Linux fundamentals and a structured approach to debugging complex systems.
  • Solid understanding of networking basics and how real networks fail, including control plane versus data plane, latency and loss, and failure domains.
  • Hands-on experience operating high-availability systems and improving them over time.
  • Ability to write and maintain software and automation; Go is commonly used, and Python is also welcome.
  • Experience with modern infrastructure tooling, such as infrastructure as code, continuous integration and continuous delivery, and container platforms, and comfort automating operational workflows.

Responsibilities

  • Define and own reliability goals for network services and critical paths, including service level indicators, service level objectives, availability targets, and error budgets where appropriate.
  • Drive reliability improvements across the network, including services, site readiness, inter-site connectivity, and operational standards.
  • Own incident response for assigned areas, lead investigations and postmortems, and turn failures into durable fixes.
  • Build and evolve observability through actionable metrics, logs, traces, alerting, and faster debugging loops during and after incidents.
  • Design safer change workflows, including automation, continuous integration and continuous delivery, test and 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.

Desired Qualifications

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

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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