Support Engineer L2

Reposted 26 Days Ago
28 Locations
Remote
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
The Support Engineer L2 resolves complex technical issues for clients, focusing on cloud environments, Linux, and ML solutions. Responsibilities include troubleshooting, scripting, and improving workflows.
Summary Generated by Built In

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 team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Support Engineer L2 to resolve complex technical issues escalated by Nebius clients.

This position requires strong analytical skills, effective communication, and a customer-centric approach to deliver outstanding service and ensure operational continuity.

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:

  • Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments.

  • Analyze and resolve storage-related issues using a strong understanding of data storage concepts.

  • Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines.

  • Develop Python and Bash automation scripts to streamline processes and optimize workflows.

  • Provide timely updates and clear customer explanations regarding issue status and resolutions.

  • Escalate unresolved problems promptly to ensure minimal service disruption.

  • Maintain and improve technical documentation to support troubleshooting and issue prevention.

We expect you to have:

  • Linux administration – advanced

  • Networking – intermediate

  • Kubernetes – intermediate

  • Cloud solutions (AWS, Azure, GCP) – intermediate

  • Python/Bash scripting – intermediate

  • ML training, inference and pipelines – intermediate

  • Data storage concepts – intermediate

  • Troubleshooting and problem-solving – advance

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

  • Experience: 5+ years in technical support, with at least 3 years of hands-on experience in cloud environments.

Working Hours:

  • Availability for rotational shifts or on-call support as required.

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible 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
Cloud Environments
GCP
Kubernetes
Linux
Ml
Networking
Python
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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