Senior Support Engineer

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.

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.

• 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 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.

• 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.

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