Job
Description
Linux Performance Developer Key Responsibilities: System Performance Analysis Analyze system-level performance on Linux platforms across CPU, memory, disk I/O, and network. Use performance monitoring tools (e.g., perf, ftrace, oprofile, bpftrace, systemtap, vmstat, iotop, top, htop, sar, latencytop) to identify bottlenecks. Profile applications and system services to pinpoint inefficiencies. Benchmarking and Optimization Design, implement, and run synthetic and real-world benchmarks (e.g., Phoronix, stress-ng, lmbench, fio). Optimize kernel subsystems (scheduler, memory management, file systems, network stack) and user-space components. Tune performance parameters (sysctl, cgroups, kernel boot args, IRQ affinity, NUMA policies). Performance Regression Detection Integrate performance testing into CI pipelines. Use tools like kselftest, LTP, BPF, and flamegraphs to detect regressions and improve stability under load. Collaboration with Kernel and User-Space Teams Work closely with kernel developers to suggest enhancements or fix issues in upstream drivers, kernel modules, or subsystems. Collaborate with application teams to guide performance improvements or align workloads with system capabilities. Tool Development Build custom performance profiling or tracing tools using eBPF, Python, C/C++, or shell scripting. Maintain dashboards and telemetry infrastructure (Grafana/Prometheus/InfluxDB/etc.). Power and Thermal Optimization (in mobile/embedded use cases) Analyze and reduce CPU wakeups, idle power usage, and dynamic frequency scaling behavior (cpufreq, cpuidle, thermal governor tuning). Required Expertise: Strong Linux Internals Knowledge Deep understanding of kernel subsystems (scheduler, memory, CPU topology, virtual memory, etc.). Good grasp of system calls, IPC, and process life cycle. Proficiency in Tools perf, ftrace, bpftrace, strace, valgrind, gprof, flamegraph, systemtap, numactl. Languages C (for kernel modules or low-level profiling), Python or Go (for automation), Shell scripting (for tooling and monitoring setup). Experience with Virtualization/Containers Performance tuning for KVM, Xen, Docker, LXC, and Kubernetes environments. Understanding of cgroups, namespaces, and resource quotas. Experience in SoC/Embedded Devices ARM performance counters, PMU tuning, kernel power governors, and device-specific optimizations. Monitoring and Metrics Familiar with telemetry stacks (Grafana, Prometheus, Telegraf), exporting and interpreting metrics.
