Senior Support Engineer

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;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&amp;D.</p></div><h3><strong><span data-ccp-props="{}">The role</span></strong></h3> <p>We&nbsp;are&nbsp;looking&nbsp;for&nbsp;a&nbsp;<strong>Senior Support Engineer </strong>to resolve complex technical issues escalated by Nebius clients and Technical Account Managers.&nbsp;</p> <p>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.</p> <p>You’re welcome to work remotely from the&nbsp;<strong>United States</strong>.</p> <p>Please note that this is a <strong>shift work.&nbsp;</strong></p> <p><strong>Your responsibilities will include:&nbsp;</strong></p> <ul> <li>Lead&nbsp;the&nbsp;diagnosis&nbsp;and&nbsp;resolution&nbsp;of&nbsp;advanced&nbsp;technical&nbsp;issues&nbsp;across&nbsp;Linux,&nbsp;networking,&nbsp;security,&nbsp;Kubernetes&nbsp;and&nbsp;cloud&nbsp;environments.</li> <li>Serve&nbsp;as&nbsp;a&nbsp;technical&nbsp;escalation&nbsp;point,&nbsp;providing&nbsp;guidance&nbsp;and&nbsp;support&nbsp;for&nbsp;complex&nbsp;troubleshooting&nbsp;scenarios.</li> <li>Investigate&nbsp;and&nbsp;resolve&nbsp;storage-related&nbsp;issues,&nbsp;leveraging&nbsp;deep&nbsp;expertise&nbsp;in&nbsp;data&nbsp;storage&nbsp;architectures&nbsp;and&nbsp;performance&nbsp;optimization.</li> <li>Apply&nbsp;ML&nbsp;knowledge&nbsp;to&nbsp;support&nbsp;and&nbsp;optimize&nbsp;model&nbsp;deployment,&nbsp;performance&nbsp;tuning&nbsp;and&nbsp;integration&nbsp;challenges&nbsp;within&nbsp;ML&nbsp;pipelines.</li> <li&g