About this role.
Nebius is seeking a Senior Network Site Reliability Engineer (NetSRE) to ensure the reliability and scalability of their cloud network infrastructure. The role involves defining reliability goals, driving improvements, owning incident response, building observability, and automating operational workflows. Candidates need strong Linux fundamentals, networking expertise, and proficiency in Go or Python. The position offers competitive compensation, career growth, and the opportunity to work on impactful AI projects.
Role DNA
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Job Complexity
4/5Pace & Pressure
3/5Autonomy Level
4/5Communication Load
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Core skills
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Cover letter sample
Dear Hiring Team at Nebius,
I am excited to apply for the Senior Network Site Reliability Engineer position. With a strong background in Linux systems and networking, combined with extensive experience in SRE practices, I am confident in my ability to contribute to ensuring the reliability of Nebius's network infrastructure. I have a proven track record of defining SLOs, leading incident responses, and building automation to reduce toil.
My hands-on experience with high-availability systems, Go/Python, and modern infrastructure tooling aligns well with your requirements. I am particularly drawn to the opportunity to work on large-scale AI infrastructure and the collaborative culture at Nebius.
Thank you for considering my application. I look forward to the possibility of discussing how I can help drive reliability improvements and contribute to the team.
Sample interview questions
I work with stakeholders to define critical metrics like latency, throughput, and error rates. Using historical data, I set realistic targets and monitor them via dashboards and alerting. Error budgets help balance reliability and feature velocity.
In a previous role, we experienced a BGP routing issue causing intermittent packet loss. I led the incident response, isolating the problem to a misconfigured route reflector. I applied a temporary fix, then implemented automated BGP monitoring and validation to prevent recurrence.
I design CI/CD pipelines with staged rollouts, canary deployments, and automated verification. Changes are tested in a lab environment first, and rollback mechanisms are predefined. Post-change monitoring runs for a sufficient period to detect anomalies.
I leverage metrics (Prometheus), logs (ELK), and tracing (Jaeger) for visibility. For network-specific telemetry, I use sFlow/NetFlow, and custom eBPF programs for detailed packet analysis. Alerts are based on meaningful thresholds to reduce noise.
Error budgets are key. We track SLO compliance and allow deployments only when error budget is available. If budget is low, we prioritize reliability improvements. This fosters a culture where both reliability and innovation are valued.
About Nebius:
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.
The Role
We’re looking for a Network Site Reliability Engineer (NetSRE) 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.
Your responsibilities will include:
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
We expect you to have:
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
It will be an added bonus if you have:
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)
Benefits & Perks:
- 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
What’s it like to work at Nebius:
Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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