Role Description 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. 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 the United States. Please note that this is a shift work. - 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. 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. Requirements - 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 Benefits - Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) Plan: Up to 4% company match with immediate vesting. - Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote Work Reimbursement: Up to $85/month for mobile and internet. - Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Role Description Nebius is looking for a Site Reliability Engineer in the Hardware Infrastructure team. The Hardware Infrastructure team designs, develops, and supports systems involved in the data-centers lifecycle: - Serving functional and load testing system. - Monitoring of engineering equipment located in our data centers (power supply, air and water cooling, etc.). - Monitoring of IT equipment: racks, servers, JBODs, JBOGs, power shelves, network devices, etc. - Asset tracking. - Hardware repairs tasks tracking. - Server production. In this position, your responsibility will be to: - Ensure fault-tolerance, scale and uninterrupted operations for our services. - Use cutting-edge technology to solve a variety of infrastructure problems. - Implement and improve CI/CD processes. Qualifications - Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. - Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. - Strong analytical and problem-solving skills, with a focus on optimizing system performance. - Working proficiency in English. Requirements - Desire to be involved in backend development. - Experience designing, developing and running high-load distributed systems. Benefits - Competitive compensation - Career growth and learning opportunities - Flexibility and work-life balance - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams

• Analyze existing DataStage server and parallel jobs • Convert ETL logic to SparkSQL/PySpark on Databricks • Implement metadata-driven ingestion patterns • Support framework-based development and reusable templates • Perform unit testing, integration testing, and reconciliation • Optimize jobs using Delta Lake, partitioning, Z-ordering • Support CI/CD pipelines (Git-based) • Collaborate with architects and DataStage SMEs

• Own End‑to‑End Feature Delivery • Design, develop, and deliver CRM features across Dynamics 365 Sales and the Power Platform. • Own workstreams from requirements through deployment—ensuring solutions are scalable, maintainable, and aligned with business needs. • Take accountability for delivering high-quality solutions within defined timelines. • Build & Extend the Platform • Develop and maintain solutions using: - C# / .NET plug-ins - JavaScript / TypeScript - Microsoft Power Platform • Build integrations, workflows, and automation that improve efficiency and user experience. • Contribute to the evolution of AI-enabled capabilities within the CRM ecosystem. • Partner Across the Business • Collaborate with stakeholders across Sales, Marketing, RevOps, and IT to understand requirements and design solutions. • Translate business needs into clean, scalable technical implementations. • Support cross-functional initiatives that drive go‑to‑market effectiveness. • Support Platform Excellence • Follow and contribute to best practices around development standards, performance, and security. • Participate in code reviews and help elevate the technical quality of the team. • Support CI/CD processes and Azure DevOps-based ALM practices. • Contribute to AI & Innovation • Assist in the implementation of Microsoft Copilot for Sales, Copilot Studio, and related capabilities. • Support the integration of automation and AI into CRM workflows. • Stay current with new platform features and opportunities to enhance the ecosystem.