Quant Systems: Storage Engineer
D. E. Shaw, London
What you will do
- Design, deploy, and operate petabyte-scale parallel filesystems (including GPFS) that back the firm's quantitative research and trading workloads, owning capacity planning, tiering across NVMe and spinning media, and end-to-end data path performance.
- Research, benchmark, and productionize new storage technologies—from next-generation parallel filesystems and object stores to emerging hardware—running structured evaluations and migrating workloads once a technology is proven.
- Keep storage platforms highly available and performant under heavy, bursty HPC I/O by defining SLOs, tuning filesystem and network parameters, and building observability so regressions are caught early.
- Lead incident response and root-cause analysis for complex production issues, using diagnostic and tracing tools to isolate problems across storage, Linux, and networking layers, and driving durable fixes back into the platform.