Senior Support Engineer

Nebius Group; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Career growth

Flexibility

Collaborative culture

AI projects

International environment

Job summary

Nebius is seeking a Senior Support Engineer to resolve complex technical issues escalated by Nebius clients and Technical Account Managers.

This role offers remote work from Singapore with shift coverage. You will own initiatives, mentor junior staff and help develop scalable support practices while leading troubleshooting across Kubernetes, Linux, networking and cloud environments.

Qualifications

• Bachelor’s degree in Computer Science, IT or related field.
• 7+ years in technical support and 5+ years hands-on cloud experience.
• Certifications in AWS, Azure, GCP, Linux admin or Kubernetes preferred.

Responsibilities

• Lead diagnosis and resolution of advanced technical issues across Kubernetes, Linux, and cloud environments.
• Serve as escalation point and guide complex troubleshooting.
• Investigate storage-related issues and optimize performance.
• Apply AI/ML knowledge to support model deployment and pipelines.
• Develop Python and Bash automation scripts to streamline workflows.
• Provide timely updates and clear root-cause analysis to customers.
• Mentor mid-level colleagues and contribute to process improvements.

Skills

Kubernetes

Linux administration

Networking

Cloud platforms

Python/Bash scripting

AI/ML knowledge

Data storage concepts

Troubleshooting

Autonomy/ownership

Education

Bachelor’s degree in Computer Science/IT or related field

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 Senior 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. You will work with a high degree of autonomy and ownership, with guidance, career development support and access to your manager during most of your shift. As a senior team member, you will lead process improvements, mentor junior staff and develop scalable support practices.

You’re welcome to work remotely from Singapore.

Please note that this is shift work.

Your responsibilities will include:

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

• Kubernetes – advanced (mandatory)
• Linux administration – advanced/expert
• Networking – advanced
• Cloud platforms (AWS, Azure, GCP) – advanced
• Python/Bash scripting – advanced
• AI/ML training, inference and pipelines – practical experience
• Data storage concepts – advanced
• Troubleshooting & problem-solving – expert
• Strong ability to work autonomously, manage priorities and take ownership of complex technical issues.
• Strong Kubernetes expertise combined with strong Linux and/or AI/ML experience.

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.

Benefits & Perks:

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• 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.