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engineeringjobs.net, Inc. is seeking engineers to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments.
You will investigate kernel and network performance, build metrics tooling, and collaborate with a global team supporting research workloads. The role requires strong programming ability in Python, Go, or Rust and a technical degree or equivalent experience, along with curiosity, organization, and time-management skills;
Design and improve workload scheduling, fleet management, clustered file systems, software lifecycle tooling, and platform reliability for large-scale compute environments. Investigate and tune kernel and network performance, build infrastructure metrics tools, and collaborate with a global team supporting research and trading workloads.
Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, along with a computer science or related technical degree or comparable practical experience. The role also calls for curiosity, communication, organization, and time-management skills; Linux, networking, HPC, storage, GPU infrastructure, or data-center hardware experience is desirable.
Python, Go, Rust, Linux Systems, Networking, Workload Scheduling, Fleet Management, Clustered File Systems, Kernel Performance, Network Performance Tuning, Metrics Collection, High-Performance Computing, Storage Infrastructure, GPU Infrastructure, Data-Center Hardware, Platform Reliability