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.

• 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.

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