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, plus a computer science or related technical degree or equivalent practical experience of up to five years. The role also calls for curiosity, communication, organization, and time-management skills; Linux, networking, HPC, storage, GPU infrastructure, and data‑center hardware experience are desirable.
Key Skills
Python, Go, Rust, Linux Systems, Networking, Workload Scheduling, Fleet Management, Clustered File Systems, Software Lifecycle Tooling, Kernel Performance Tuning, Metrics Collection, Distributed Computing, High-Performance Computing, Storage Infrastructure, GPU Infrastructure, Data-Center Hardware
#J-18808-LjbffrQuant Systems: Systems Developer (New York) (F7B419E) in new york at Unknown Company
This position is listed as full time and onsite.