Quant Systems: Systems Developer (New York) (E59152C)

Referment; New York (NY); On-site; USD 110,000 - 190,000; Full time

Job summary

Referment in New York, NY is seeking a software and systems engineer to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments. You will work on platform reliability, Linux kernel tuning, and performance monitoring as part of a global team supporting research and trading workloads.

The role requires strong programming skills in Python, Go, or Rust, plus a degree in CS or equivalent practical experience (up to five years).

Qualifications

• BS in Computer Science or related field, or equivalent practical experience (up to 5 years).
• Strong programming ability and clear communication, organisation, and time-management skills.
• Desirable: Linux, networking, HPC, storage, GPU infrastructure, and data-center hardware experience.

Responsibilities

• Design and improve workload scheduling and fleet management for large-scale compute environments.
• Investigate and tune kernel and network performance; build infrastructure metrics tools; collaborate with a global team supporting research and trading workloads.

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

Data-Center Hardware

Platform Reliability

Job description

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, organisation, 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, Kernel Performance Tuning, Metrics Collection, Distributed Computing, High-Performance Computing, Storage Infrastructure, GPU Infrastructure, Data-Center Hardware, Platform Reliability