Support Engineer L2
United States
Nebius
Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIAÂź GPUs.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 customersâ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. Youâll not only resolve issues, but play a key role in shaping clientsâ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, youâll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, youâll 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.
Youâre welcome to work remotely from the USA.
Please note that this is a shift work.Â
Your responsibilities will include:Â
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Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments.
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Analyze and resolve storage-related issues using a strong understanding of data storage concepts.
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Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines.
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Develop Python and Bash automation scripts to streamline processes and optimize workflows.
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Provide timely updates and clear customer explanations regarding issue status and resolutions.
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Escalate unresolved problems promptly to ensure minimal service disruption.
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Maintain and improve technical documentation to support troubleshooting and issue prevention.
We expect you to have:Â
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Linux administration â advanced
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Networking â intermediate
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Kubernetes â intermediate
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Cloud solutions (AWS, Azure, GCP) â intermediate
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Python/Bash scripting â intermediate
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ML training, inference and pipelines â intermediate
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Data storage concepts â intermediate
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Troubleshooting and problem-solving â advance
Qualifications:Â
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Education:Â Bachelorâs degree in Computer Science, Information Technology, or a related field.
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Experience:Â 5+ years in technical support, with at least 3 years of hands-on experience in cloud environments.
Working Hours:
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Availability for rotational shifts or on-call support as required.
Key Employee Benefits:
- Health Insurance:Â 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan:Â Up to 4% company match with immediate vesting.
- Parental Leave:Â 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement:Â Up to $85/month for mobile and internet.
- Disability & Life Insurance:Â Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries, ranging from 100k-130k base + quarterly bonuses based on your experience, skills, and location.
What we offerÂ
- 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.
Weâre growing and expanding our products every day. If youâre up to the challenge and are excited about AI and ML as much as we are, join us!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: AWS Azure Computer Science CX Engineering GCP GPU Kubernetes Linux Machine Learning Model deployment Pipelines Python R R&D Security
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Medical leave Parental leave Salary bonus
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