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Referment is seeking engineers to design and improve workload scheduling, fleet management, clustered file systems, and platform reliability for large-scale compute environments. The role involves tuning kernel and network performance, building metrics tooling, and collaborating with a global team supporting research and trading workloads.
Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, and a computer science or related technical degree or up to
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.
Requirements: Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, and a computer science or related technical degree or comparable practical experience of up to five years. The role also calls for curiosity, clear communication, and strong organizational and time-management skills; Linux, networking, HPC, storage, GPU infrastructure, or data-centre hardware experience is desirable.
Key Skills: Python, Go, Rust, Linux Systems, Networking, Workload Scheduling, Fleet Management, Clustered File Systems, Kernel Performance Tuning, Metrics Collection, Distributed Computing, High-Performance Computing, Storage Infrastructure, GPU Infrastructure, Platform Reliability, Software Lifecycle Tooling