Site reliability engineer in cloud infrastructure

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. We are looking for a Senior Site Reliability Engineer (SRE) to join the Compute Node team at Nebius AI Cloud. The Compute Node team is responsible for building and operating the cluster scheduler and node-level services that run and manage virtual machines across all cloud regions.

• Ensure reliability, availability and performance of compute nodes running VMs
• Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer
• Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling
• Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies
• Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs
• Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements
• Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability

• deep understanding of Linux user space and kernel space
• knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces)
• clear understanding of system boundaries and constraints at different layers
• hands-on experience with QEMU/KVM
• understanding of VM lifecycle, performance characteristics and failure modes
• practical experience with containers, namespaces and cgroups
• strong understanding of resource isolation and control
• ability to reason about complex system failures
• structured, hypothesis-driven approach to incident analysis
• clear understanding of the SRE role in system design and operations
• experience building and operating observability stacks, not just consuming them
• ability to turn system behavior into actionable reliability signals
• Будет плюсом: Experience with Kubernetes internals or node-level components; Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps); Familiarity with large-scale compute or bare-metal platforms; Contributions to open-source infrastructure or system software; Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI