About this role.
Nebius is seeking a Site Reliability Engineer to build and run the network infrastructure that underpins its AI cloud platform. This engineering-first role focuses on defining reliability targets, developing automation and observability, and driving continuous improvements across network services. You will own incident response, design safer change workflows, and collaborate closely with network and platform teams. Ideal candidates have strong Linux fundamentals, networking knowledge, and experience operating high-availability systems at scale. The role offers competitive compensation, career growth, and the opportunity to impact cutting-edge AI infrastructure.
Role DNA
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Job Complexity
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4/5Autonomy Level
4/5Communication Load
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Core skills
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the Site Reliability Engineer position in Network Infrastructure at Nebius. With a strong background in SRE practices, network engineering, and automation, I have successfully built and operated large-scale systems where reliability is paramount. My experience aligns with your need for an engineer who can define SLOs, design robust observability, and transform incident learnings into durable fixes.
I am particularly drawn to Nebius because it is built by engineers for engineers, and the opportunity to work on the foundational network layer of an AI cloud platform is both challenging and impactful. I thrive in fast-paced environments where ownership and collaboration are key, and I am eager to contribute to your mission of simplifying AI infrastructure.
Thank you for considering my application. I look forward to the possibility of discussing how my skills can support Nebius's growth.
Sincerely, [Your Name]
Sample interview questions
I would discuss a project where network latency and packet loss were impacting a critical service. I worked with stakeholders to define an SLO of 99.95% availability and <50ms latency for the data path. We implemented detailed metrics and alerting, then identified that a misconfigured load balancer caused intermittent failures. By automating configuration checks and adding canary deployments, we met the SLO and reduced incidents by 60% over three months.
I believe in blameless postmortems and treating every incident as a learning opportunity. During an incident, I focus on restoring service quickly while gathering data. Afterward, I lead a thorough investigation to identify root causes and contributing factors. I then work to implement automated preventive measures, such as adding resilience, improving monitoring, or fixing process gaps. This reduces the chance of recurrence and moves the team from reactive to proactive.
The control plane makes decisions about how traffic should flow (e.g., routing protocols, BGP), while the data plane forwards packets based on those decisions. For SRE, this distinction matters because failures can occur in either plane. For example, a control plane failure may cause routing instability without immediate packet loss, while a data plane failure like a faulty NIC causes direct packet drops. Understanding this helps in designing correct monitoring and troubleshooting steps.
I would use Infrastructure as Code with tools like Terraform and Ansible to manage network configurations. Changes would go through a CI/CD pipeline with multiple stages: unit tests, validation in a staging environment, and then canary deployment to a small set of devices. I would implement automated verification of post-change health, using metrics like BGP session state and traffic flow. Rollbacks would be automated by reverting to the last known good configuration or using a config diff.
I have used Prometheus for metrics and Grafana for dashboards, along with Loki for log aggregation. For network telemetry, I focus on key indicators like interface utilization, packet drops, latency, and flow data. To handle large volumes, I use sampling and aggregation, and set up alerts based on trend analysis rather than static thresholds. I also use correlation between different data sources to reduce noise and improve detection accuracy.
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 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.
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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