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engineeringjobs.net, Inc. seeks a skilled engineer to design and enhance workload scheduling, fleet management, and clustered file systems for large-scale compute environments. You will build tooling for software lifecycles and platform reliability, and tune kernel and network performance while creating metrics tools.
A global collaborative team supports research and trading workloads. The role requires strong programming in Python/Go/Rust, plus a CS degree or equivalent experience up to five
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, 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.
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