Senior Site Reliability Engineer (SRE, Compute Node Team)

Added
3 hours ago
Type
Full time
Salary
Salary not provided

Related skills

linux kubernetes containers observability ebpf

๐Ÿ“‹ Description

  • Ensure the reliability, availability, and performance of compute nodes running virtual machines across cloud environments.
  • Analyze and troubleshoot complex Linux systems across user space and kernel space.
  • Investigate and resolve production issues involving CPU, memory, NUMA, cgroups, scheduling, and system performance.
  • Work hands-on with virtualization technologies, including QEMU/KVM and Linux-native virtualization solutions.
  • Design and improve observability capabilities at the infrastructure layer, including metrics, logs, traces, alerts, SLIs, and SLOs.
  • Lead incident response activities, perform root-cause analysis, and drive post-incident improvements.

๐ŸŽฏ Requirements

  • Deep expertise in Linux systems, including user space, kernel space, and core kernel subsystems such as scheduling, memory management, filesystems, cgroups, and namespaces.
  • Strong understanding of system architecture, boundaries, and performance trade-offs across different infrastructure layers.
  • Hands-on experience with virtualization technologies, particularly QEMU/KVM, including VM lifecycle management and performance optimization.
  • Practical experience with container technologies, namespaces, and resource isolation mechanisms.
  • Strong debugging and problem-solving skills with a structured, hypothesis-driven approach to incident investigation.
  • Experience building and operating observability solutions rather than only consuming monitoring tools.

๐ŸŽ Benefits

  • Competitive compensation package.
  • Flexible working environment with ownership over projects and responsibilities.
  • Opportunities for career growth and continuous learning.
  • Chance to work on impactful AI infrastructure projects.
  • Collaborative international environment with talented engineering teams.
  • Opportunity to solve challenging technical problems at large scale.
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