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Nebius

Senior Support Engineer L2

Reposted 14 Days Ago
Be an Early Applicant
Remote
28 Locations
Senior level
Remote
28 Locations
Senior level
As a Senior L2 Support Engineer, you will resolve complex technical issues, mentor junior staff, lead troubleshooting, and improve operational efficiency through scripting and collaboration.
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Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We are looking for a Senior L2 Support Engineer to resolve complex technical issues escalated by Nebius clients and Technical Account Managers.

This role demands advanced expertise, strong problem-solving skills and a customer-focused approach to ensure seamless operations. As a senior team member, you will lead process improvements, mentor junior staff and develop scalable support practices.

You’re welcome to work in our office in Amsterdam, Netherlands or remotely from any other EU country.

Please note that this is a shift work.

Your responsibilities will include:

  • Lead the diagnosis ;and resolution of advanced technical issues across Linux, networking, security, Kubernetes and cloud environments.
  • Serve as a technical escalation point, providing guidance and support for complex troubleshooting scenarios.
  • Investigate and resolve storage-related ;issues, ;leveraging;deep expertise in data storage architectures and performance optimization.
  • Apply 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.

We expect you to have:

  • Linux administration – expert
  • Networking – advanced
  • Kubernetes – advanced
  • Cloud platforms (AWS, Azure, GCP) – advanced
  • Python/Bash scripting – advanced
  • Machine learning training, inference and pipelines – intermediate
  • Data storage concepts – advanced
  • Troubleshooting & problem-solving – expert

Qualifications:

  • 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.
  • Certifications: relevant certifications in cloud platforms (AWS, Azure, GCP), Linux administration or Kubernetes are highly desirable.


What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Hybrid working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Top Skills

AWS
Azure
Bash
Data Storage
GCP
Kubernetes
Linux
Machine Learning
Networking
Python

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