Support Engineer

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 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: 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.