Systems Developer for High-Performance Research & Trading

Referment; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Referment is hiring a Systems Developer to work on high-performance research and trading infrastructure. The role spans large-scale compute, OS, tooling, networking, and storage, in a distributed environment where software engineering meets systems performance.

You will design and improve workload scheduling and fleet-management capabilities, contribute to clustered file systems and platform reliability, and tune kernel and network performance for latency-sensitive workloads.

Qualifications

• Strong programming ability in Python, Go, Rust or a comparable language.
• A computer science or related technical degree, or comparable practical experience of up to five years.
• Curiosity about how complex technology works and the motivation to investigate unfamiliar problems.
• Clear written and verbal communication, organisation 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 hiring a Systems Developer to work on high-performance research and trading infrastructure. The role spans large-scale compute, OS, tooling, networking, and storage, in a distributed environment where software engineering meets systems performance.

You will design and improve workload scheduling and fleet-management capabilities, contribute to clustered file systems and platform reliability, and tune kernel and network performance for latency-sensitive workloads.