High-Performance Systems Engineer – Trading Infra

Referment

New York (NY)

On-site

USD 110,000 - 160,000

Full time

22 hours ago
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Job summary

Referment is seeking a Systems Developer to join a team responsible for high‑performance research and trading infrastructure in a distributed compute environment. You’ll design and improve workload scheduling, fleet management, and platform tooling to support large-scale workloads.

You will investigate kernel and network performance, build analytics tools, and collaborate with a global engineering team supporting research and trading workloads, with an emphasis on low latency and reliability.

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

CS degree or equivalent

Job description

Referment is seeking a Systems Developer to join a team responsible for high‑performance research and trading infrastructure in a distributed compute environment. You’ll design and improve workload scheduling, fleet management, and platform tooling to support large-scale workloads.

You will investigate kernel and network performance, build analytics tools, and collaborate with a global engineering team supporting research and trading workloads, with an emphasis on low latency and reliability.

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