Software Engineer (Linux Kernel / Storage / Distributed Systems)
Summary
Systems engineer working on core infrastructure powering large-scale data platforms, focusing on low-level systems work. Day-to-day involves designing systems around file systems, volume managers, and clustering, plus deep Linux kernel, IO stack, and storage subsystem development using C/C++.
We are hiring an experienced Systems Engineer to work on core infrastructure powering large-scale data platforms at Client. This role focuses on low-level systems engineering, including Linux kernel, storage systems, and distributed architecture.
What You’ll Work On
Design and build systems around file systems, volume managers, and clustering
Work deeply within the Linux kernel, IO stack, and storage subsystems
Develop and optimize large-scale distributed systems
Solve complex performance, scalability, and reliability challenges
Perform deep debugging and root cause analysis (RCA)
Mentor engineers and drive engineering excellence
What We’re Looking For
Strong C/C++ systems programming
Deep understanding of Linux internals (kernel, memory, IO, file systems)
Experience with storage systems / IO path
Strong debugging skills across user space and kernel space
Experience working on high-scale distributed systems
Ability to design systems and influence architecture
Nice to Have
Experience with microservices / Kubernetes
Exposure to AI/ML infrastructure systems
What You’ll Work On
Design and build systems around file systems, volume managers, and clustering
Work deeply within the Linux kernel, IO stack, and storage subsystems
Develop and optimize large-scale distributed systems
Solve complex performance, scalability, and reliability challenges
Perform deep debugging and root cause analysis (RCA)
Mentor engineers and drive engineering excellence
What We’re Looking For
Strong C/C++ systems programming
Deep understanding of Linux internals (kernel, memory, IO, file systems)
Experience with storage systems / IO path
Strong debugging skills across user space and kernel space
Experience working on high-scale distributed systems
Ability to design systems and influence architecture
Nice to Have
Experience with microservices / Kubernetes
Exposure to AI/ML infrastructure systems