Senior Support Engineer

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 RD 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 RD. 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. 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 the United States . Please note that this is a shift work. Your responsibilities will include: Lead the diagnosis and resolution of advanced technical issues across Linux, networking, security, Kubernetes and cloud environments. Serve as a technical escalation point, providing guidance and support for complex troubleshooting scenarios. Investigate and resolve storage-related issues, leveraging deep expertise in data storage architectures and performance optimization. Apply 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 escalate 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: Linux administration – expert Networking – advanced Kubernetes – advanced Cloud platforms (AWS, Azure, GCP) – advanced Python/Bash scripting – advanced Machine learning training, inference and pipelines – intermediate Data storage concepts – advanced Troubleshooting problem-solving – expert 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. 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 compensation packages based on experience. Compensation Range $150,000 $200,000 USD Benefits Perks: Competitive compensation Career growth and learning opportunities Flexibility and work-life balance Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it li ... (truncated, view full listing at source)