Low-Latency Systems Engineer for HPC and Trading Infra

Referment; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Referment is seeking a Systems Developer to join a team responsible for high-performance research and trading infrastructure. You will work hands-on across large-scale compute, operating systems, development tooling, networking and storage to improve performance and reliability.

This role offers breadth across workload scheduling, fleet management, clustered file systems and the measurement and tuning of latency-sensitive, high-throughput platforms, with collaboration across a global engineering

Qualifications

• Bachelor's degree or equivalent practical experience up to five years.
• Experience with Linux systems and networking.
• Curiosity about how complex technology works and the motivation to investigate unfamiliar problems.
• Clear written and verbal communication, organization and time-management skills.

Responsibilities

• Design and improve workload scheduling and fleet-management capabilities for large compute environments.
• Contribute to clustered file-system design and operation, software lifecycle tooling and platform reliability.
• Investigate and tune kernel and network performance for latency-sensitive and high-throughput applications.
• Build metrics collection and analysis tools that help engineers understand and improve infrastructure behaviour.
• Collaborate with a global engineering team supporting research and trading workloads.

Skills

Python

Go

Rust

Education

Bachelor's degree in Computer Science or related field

Job description

Referment is seeking a Systems Developer to join a team responsible for high-performance research and trading infrastructure. You will work hands-on across large-scale compute, operating systems, development tooling, networking and storage to improve performance and reliability.

This role offers breadth across workload scheduling, fleet management, clustered file systems and the measurement and tuning of latency-sensitive, high-throughput platforms, with collaboration across a global engineering