Support Engineer L2

Reposted 5 Days Ago
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
As an L2 Support Engineer, you will diagnose complex technical issues, enhance automation through scripting, and ensure optimal client operations.
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 role

We are looking for a skilled L2 Support Engineer to troubleshoot and resolve complex technical issues escalated by Nebius clients. This role demands excellent problem-solving abilities, clear communication and a customer-first mindset to deliver exceptional service and maintain seamless operations.

You’re welcome to work remotely from the USA.

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 – advanced

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Information Technology or a related field.
  • Experience: 5+ years in technical support, 3+ years of cloud hands-on.

Working hours:

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

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 120k-140k base + quarterly bonuses based on your experience, skills, and location.

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

Azure
Bash
Cloud (Aws
Gcp)
Kubernetes
Linux
Ml
Networking
Python
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The Company
473 Employees
On-site Workplace

What We Do

Cloud platform specifically designed to train AI models

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