Linux Platform Engineer (Os & Performance Engineering)

Role Summary We’re seeking a Linux Platform Engineer to design customized, high-performance Linux distributions of our software.This role requires deep OS-level customization, lifecycle management, and performance/network tuning to deliver a tightly integrated, production-ready platform.You’ll own the end-to-end process of OS-level customization, from kernel builds and footprint reduction to application integration and low-level performance tuning.This role requires someone who thrives at the intersection of operating systems, networking, and hardware - with the ability to shape a platform built for demanding AI and data workloads.What You’ll Be Doing Build and maintain custom Linux distributions, with full kernel configuration and compilation.Remove unnecessary components to create minimal, production-grade OS images.Integrate proprietary applications into the OS lifecycle (e.G., direct boot into apps).Tune boot time, memory footprint, and CPU scheduling for low-latency performance.Optimize TCP, UDP, and RDMA stacks for high-throughput workloads.Work directly with PCIe/DMA hardware and integrate custom drivers.Implement reproducible builds and system hardening practices.Automate builds, deployments, and test pipelines with Yocto, Buildroot, Bash, and Python.What We Need to See 7+ years of experience in Linux systems engineering, kernel-level work preferred.Proven track record in custom kernel compilation and OS builds.Strong knowledge of systemd, init, and application lifecycle control.Experience with system profiling tools (perf, ftrace, strace).Familiarity with PCIe, DMA, and driver development.Proficiency in Bash, Python, and Linux build systems.Ways to Stand Out Experience with reproducible build pipelines and secure boot chains.Contributions to Yocto, Buildroot, or open-source kernel subsystems.Proven ability to shrink OS footprints for embedded or performance-critical use cases.Why Join Us?You’ll join a team reshaping infrastructure for AI-native platforms.If you’re excited by building lean, fast, secure Linux systems that serve as the foundation for next-generation AI applications, this is your chance to do it at scale.Who’s FastS3?FastS3’s Smart–Lakehouse vision marks a paradigm shift from traditional software to AI-native infrastructure-automating the path from raw data to intelligent action.Our platform looks to empowers enterprises to operationalize advanced LLMs, generative models, and computer vision systems directly within their data pipelines.By enabling seamless, real-time AI integration across diverse data sources, we accelerate AI adoption across industries.We’re growing our team to further expand the frontier of applied AI.We are proud to be an inclusive, equal opportunity employer, committed to diversity, equity, and accessibility for all.#J-*****-Ljbffr

What We Need to See 7+ years of experience in Linux systems engineering, kernel-level work preferred. Proven track record in custom kernel compilation and OS builds. Strong knowledge of systemd, init, and application lifecycle control. Experience with system profiling tools (perf, ftrace, strace). Familiarity with PCIe, DMA, and driver development. Proficiency in Bash, Python, and Linux build systems. Ways to Stand Out Experience with reproducible build pipelines and secure boot chains. Contributions to Yocto, Buildroot, or open-source kernel subsystems. Proven ability to shrink OS footprints for embedded or performance-critical use cases.