USA remote
Senior Support Engineer
About this role
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 t o 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: Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments. Analyze and resolve storage-related issues using a strong understanding of data storage concepts. Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines.
Develop Python and Bash automation scripts to streamline processes and optimize workflows. Provide timely updates and clear customer explanations regarding issue status and resolutions. Escalate unresolved problems promptly to ensure minimal service disruption. Maintain and improve technical documentation to support troubleshooting and issue prevention. We expect you to have: Linux administration – advanced Networking – intermediate Kubernetes – intermediate Cloud solutions (AWS, Azure, GCP) – intermediate Python/Bash scripting – intermediate ML training, inference and pipelines – intermediate Data storage concepts – intermediate Troubleshooting and problem-solving – advance Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.