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Nebius

Senior Support Engineer

RemoteEUEurope+Singapore
Published
Role
Support
Experience
Senior
Company size
Mid-size
Salary not disclosed
Check eligibility

Open to Anywhere in EU & Europe + SG. Set where you work from to check your eligibility.

No BS summary

Senior Support Engineer needed for complex technical issues in modern cloud environments. Requires hands-on debugging of Linux and Kubernetes, cloud infrastructure, and AI/GPU workloads. Will act as an escalation point, work with engineering, and improve tools. Includes weekend rotation and incident response.

Core skills

KubernetesLinux troubleshootingcloud infrastructure

Required skills

LinuxAWSGCPAzureOpenStackPythonBashGoNetworkingAI/MLData storage

Optional skills

GPU-based infrastructureAI/MLLLMinferencetraining pipelinesobservabilitytoolingoperational workflows

Required languages

English

What you'll do

  • Investigate and resolve complex technical issues in customer environments
  • Troubleshoot across Linux, Kubernetes, cloud infrastructure, networking, storage, and GPU-related workloads
  • Support customers running containerized systems, inference workloads, training jobs, or other distributed platforms
  • Act as a senior escalation point for production incidents
  • Reproduce issues, narrow down root causes, and work with engineering on long-term fixes
  • Build or improve internal scripts, troubleshooting tools, and operational documentation
  • Help make support more scalable through better automation, observability, and process improvements
  • Communicate clearly with customers during active investigations and incidents
  • Take part in weekend coverage and urgent issue response
  • Lead the diagnosis and resolution of advanced technical issues across Kubernetes, Linux, networking, security and cloud environments.
  • Serve as a technical escalation point, providing guidance and support for complex troubleshooting scenarios.
  • Investigate and resolve storage-related issues, leveraging expertise in data storage architectures and performance optimization.
  • Apply AI/ML knowledge to support and optimize model deployment, performance tuning and integration challenges within ML pipelines.
  • Design and develop Python and Bash automation scripts to streamline workflows and improve operational efficiency.
  • Deliver timely updates and detailed explanations to customers, ensuring clear communication of issue status, root cause analysis and resolutions.
  • Proactively escalate unresolved problems while collaborating with cross-functional teams to minimize service disruptions and improve processes.
  • Maintain and continuously enhance technical documentation, reflecting best practices.
  • Provide technical leadership and mentorship to mid-level support colleagues.
  • Collaborate with engineering and product teams to identify patterns, propose enhancements and contribute to the evolution of systems and services.

What they require

  • Strong Linux troubleshooting skills
  • Strong Kubernetes and container experience
  • Solid understanding of cloud infrastructure in AWS, GCP, Azure, OpenStack, or similar environments
  • Good networking fundamentals
  • Ability to write scripts or small tools in Python, Bash, Go, or similar
  • Experience working on production issues that require structured debugging and cross-team collaboration
  • Ability to work independently and stay effective when the path to resolution is not obvious
  • Clear written communication, especially when explaining technical issues to customers and internal teams
  • 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.
  • Kubernetes – advanced (mandatory)
  • Linux administration – advanced/expert
  • Networking – advanced
  • Cloud platforms (AWS, Azure, GCP) – advanced
  • Python/Bash scripting – advanced
  • AI/ML training, inference and pipelines – practical experience
  • Data storage concepts – advanced
  • Troubleshooting & problem-solving – expert
  • Strong ability to work autonomously, manage priorities and take ownership of complex technical issues.
  • Strong Kubernetes expertise combined with strong Linux and/or AI/ML experience.
  • Education: Bachelor’s degree in Computer Science, Information Technology or a related field.
  • Experience: 7+ years in technical support, 5+ years of cloud hands-on.
  • Preferred: Certifications: relevant certifications in cloud platforms (AWS, Azure, GCP), Linux administration or Kubernetes are highly desirable.
  • Please note that this is shift work.

Benefits

  • 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
  • Fast moving
  • Bold thinking
  • Constant growth
  • Meaningful impact
  • Trust and real ownership
  • Opportunity to shape the future of AI

Nebius

Dutch company developing a portfolio of AI-related technology assets

🇳🇱 NetherlandsTechnology, Information And InternetMid-sizenebius.group/
Salary not disclosed