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Senior Site Reliability Engineer (SRE)

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Remote from
Europe, Israel
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
27 Nov 2026
Listing views
52
Application actions
2
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AI Summary

The role, at a glance.

Nebius is seeking a Senior Site Reliability Engineer to maintain fault-tolerant, scalable, and continuously available AI-cloud infrastructure. The role combines systems engineering, automation, CI/CD improvement, container orchestration, and production reliability work. Candidates need strong programming ability in Go, Python, or C++, alongside deep Unix, networking, and distributed-systems knowledge. Experience with Terraform, Ansible, Docker, Kubernetes, Helm, and high-load platforms is central to success. The hiring process includes a coding interview and emphasizes ownership in a fast-moving engineering environment.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

3/5
IndependentCollaborative
AI insightThis is a senior infrastructure role supporting high-scale AI cloud services, where outages and performance issues can have significant operational impact. It requires broad hands-on expertise across programming, Linux, networking, automation, containers, and distributed systems.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$180,000
US market range (per year)$140k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence is inferred from the senior full-time engineering role; the displayed USD figures are estimated annual market compensation for a Senior Site Reliability Engineer and are not employer-provided.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a reliability strategy for a high-load distributed service?

I would begin by defining SLOs, SLIs, and error budgets around availability, latency, and correctness. I would design for redundancy across failure domains, automate health checks and recovery, add observability for key dependencies, and regularly test failure scenarios through controlled exercises.

Describe how you would investigate a sudden increase in latency in a Kubernetes-hosted service.

I would first validate the scope using dashboards for request latency, error rate, saturation, and pod health. Then I would correlate the incident with recent deployments, inspect application and ingress metrics, review resource limits and autoscaling behavior, and trace requests to identify whether the bottleneck is compute, storage, networking, or a downstream dependency.

What practices would you use to make Terraform-based infrastructure changes safer?

I would keep infrastructure code modular and version controlled, require peer review, run formatting and validation checks in CI, and review Terraform plans before applying changes. I would use isolated environments, remote state with locking, least-privilege credentials, and a tested rollback or recovery approach for critical resources.

How do you approach CI/CD pipeline reliability and deployment safety?

I use reproducible builds, automated unit and integration tests, artifact versioning, and environment-specific configuration controls. For production, I prefer progressive delivery methods such as canary or blue-green deployments, automated health validation, observability during rollout, and a fast rollback path.

Give an example of how you would handle an incident caused by a failing infrastructure dependency.

I would stabilize the customer impact first by failing over, applying rate limits, or using a degraded but safe service mode. I would coordinate incident communication, collect evidence and timelines, identify the dependency failure mode, and then lead a blameless post-incident review with concrete corrective actions such as improved alerts, redundancy, runbooks, or capacity changes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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

Your responsibilities will include:

  • Ensure fault-tolerance, scale, and uninterrupted operations for the service.
  • Use cutting-edge cloud technology to solve a variety of infrastructure problems.
  • Implement and improve CI/CD processes.

We expect you to have:

  • Solid experience with programming languages (like Go, Python, or C++);
  • Solid understanding of classic algorithms and data structures;
  • Commercial experience with and deep understanding of Unix systems and network technology;
  • Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

  • Desire to be involved in backend development;
  • Experience designing, developing, and running high-load distributed systems;
  • Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

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.

Apply now >

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