Key skills
Linux administrationKubernetesAWSAzureGCPPython scriptingBash scriptingMachine learning trainingMachine learning inferenceMachine learning pipelinesData storage conceptsPythonBashAIMachine LearningMLPerformance OptimizationLeadershipMentoringCommunication
About this role
Nebius is leading a new era in cloud infrastructure for the global AI economy. They are seeking a Senior Support Engineer to resolve complex technical issues and ensure seamless operations while mentoring junior staff and developing scalable support practices.
Responsibilities:
- 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
Requirements:
- Bachelor's degree in Computer Science, Information Technology or a related field
- 7+ years in technical support
- 5+ years of cloud hands-on
- 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
- relevant certifications in cloud platforms (AWS, Azure, GCP), Linux administration or Kubernetes are highly desirable