Senior Support Engineer
Remote · USJob$150–200K/yrPosted 1 day agoStill listed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Nebius is seeking a Support Engineer L2 to resolve complex technical issues escalated by clients. The role focuses on Linux, networking, security, Kubernetes, cloud environments, storage, and ML troubleshooting, with Python and Bash automation. The engineer provides customer updates, escalates unresolved problems, and maintains technical documentation. The position welcomes remote work from the USA and involves shift work.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
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 remotely from the USA.
Please note that this is a shift work.
Your responsibilities will include:
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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:
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Linux administration – advanced
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Networking – intermediate
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Kubernetes – intermediate
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Cloud solutions (AWS, Azure, GCP) – intermediate
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Python/Bash scripting – intermediate
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ML training, inference and pipelines – intermediate
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Data storage concepts – intermediate
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Troubleshooting and problem-solving – advance
Qualifications:
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Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
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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.
Key employee benefits in the US:
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Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
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401(k) plan: Up to 4% company match with immediate vesting.
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Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
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Remote work reimbursement: Up to $85/month for mobile and internet.
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Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
#LI-SM2 Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range $150,000—$200,000 USD
Benefits & Perks:
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Competitive compensation
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Career growth and learning opportunities
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Flexibility and ownership
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Collaborative and innovative culture
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Opportunity to work on impactful AI projects
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International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
How this job compares
Set against the 661 open Support Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$150–200K/yr
- US median$84–140K/yr214 salary ranges
This range's midpoint, $175K, is 46% above the US median midpoint ($120K) — in the top quarter of Support Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 661 open Support Engineer jobs across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- Oracle428 open
- Amazon22 open
- ASM Research, An Accenture Federal Services Company19 open
- Experience
- This posting asks for at least 5 years of experience — more than three in four Support Engineer postings that state a minimum ask for (median 3 years, across 409 postings).
- Education
- This posting asks for a bachelor's degree; 129 of the 661 open Support Engineer jobs (20%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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