Senior Site Reliability Engineer (SRE, Compute Node Team)

Accountabilities

• • Ensure the reliability, availability, and performance of compute nodes responsible for running virtual machines.
  • Analyze and debug complex Linux systems across both user space and kernel space.
  • Investigate system capabilities, limitations, dependencies, and trade-offs across different layers of the operating system and infrastructure stack.
  • Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups, and scheduling.
  • Work hands-on with virtualization technologies, primarily QEMU/KVM and Linux-native technologies.
  • Analyze VM lifecycle behavior, performance characteristics, resource utilization, and failure modes.
  • Support and improve containerized workloads using Linux-native mechanisms such as namespaces and cgroups.
  • Design and evolve observability for the compute node layer, including metrics, logs, traces, alerts, SLIs, and SLOs.
  • Build reliability signals that provide clear and actionable insight into system behavior.
  • Lead or contribute to incident response, ensuring production issues are diagnosed and resolved efficiently.
  • Conduct structured root-cause analysis and develop corrective actions for recurring or systemic reliability issues.
  • Lead and contribute to postmortems focused on long-term reliability improvements rather than short-term remediation alone.
  • Identify opportunities to automate operational processes and improve the resilience of compute infrastructure.
  • Collaborate closely with platform, kernel/hypervisor, GPU, and infrastructure teams on system design and operational improvements.
  • Contribute to improving the operability, scalability, and maintainability of node-level services.
  • Investigate performance issues across multiple layers of the compute stack and develop practical engineering solutions.
  • Help establish reliability and observability as core capabilities of the compute platform.

  Requirements:

  • Significant professional experience in Site Reliability Engineering, Systems Engineering, Linux infrastructure, or a closely related field.
  • Deep expertise in Linux, including strong understanding of both user space and kernel space.
  • Knowledge of important Linux kernel subsystems, including scheduling, memory management, filesystems, cgroups, and namespaces.
  • Strong understanding of system boundaries, constraints, dependencies, and trade-offs across different infrastructure layers.
  • Hands-on experience with QEMU/KVM and a solid understanding of virtualization technologies.
  • Understanding of virtual machine lifecycles, performance characteristics, resource management, and failure modes.
  • Practical experience with containers, Linux namespaces, and cgroups.
  • Strong understanding of resource isolation, allocation, and control in containerized environments.
  • Excellent debugging skills and the ability to reason systematically about complex system failures.
  • Structured, hypothesis-driven approach to incident investigation and troubleshooting.
  • Strong understanding of the SRE discipline, including the relationship between software engineering, operations, reliability, and system design.
  • Experience building and operating observability stacks, rather than simply consuming existing monitoring dashboards.
  • Ability to translate complex system behavior into actionable reliability signals, alerts, SLIs, and SLOs.
  • Strong analytical and problem-solving skills, with the ability to investigate issues across operating-system and infrastructure layers.
  • Experience operating production systems and responding effectively to reliability and performance incidents.
  • Strong communication and collaboration skills when working with multidisciplinary infrastructure and engineering teams.
  • Ability to take ownership of complex technical problems and drive them through investigation, resolution, and long-term improvement.
  • Experience with Kubernetes internals or node-level components is an advantage.
  • Hands-on experience with low-level Linux debugging tools such as perf, eBPF, ftrace, strace, or kernel crash dumps is beneficial.
  • Familiarity with large-scale compute or bare-metal infrastructure is a plus.
  • Contributions to open-source infrastructure or systems software are advantageous.
  • Experience debugging hardware- and driver-level issues, including GPUs, NVLink, or InfiniBand, is a strong plus.

  Benefits:

  • Competitive compensation.
  • Career growth and continuous learning opportunities.
  • Flexibility and significant ownership in your work.
  • Collaborative and innovative engineering environment.
  • Opportunity to work on impactful AI and cloud infrastructure projects.
  • Exposure to large-scale compute, Linux systems, virtualization, and distributed infrastructure.
  • Opportunity to collaborate with highly skilled international engineering teams.
  • Inclusive workplace committed to equal employment opportunities.
  • Workplace accommodations available during the application process where required.
  • Employment is subject to authorization to work in the country where the position is based.