Quant Systems: Systems Developer (London) (067BA7D)

Referment; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Referment is partnering with a global investment and technology organisation to hire a Systems Developer. The role focuses on hands‑on engineering across large‑scale compute, OS internals, tooling, networking and storage.

You will design, implement and tune workload scheduling, fleet management and clustered file systems, while building metrics tools to measure performance. The job suits engineers who enjoy OS-level work and high‑throughput, low-latency infrastructure in a distributed team.

Qualifications

• Experience with infrastructure orchestration and fleet management.
• Advanced Python proficiency for systems engineering, including high‑concurrency frameworks like FastAPI or asyncio.
• Degree in Physics, Mathematics, Computer Science or related field, or up to five years of practical experience.

Responsibilities

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

Skills

infra orchestration

fleet management

Python

FastAPI

Asyncio

high-concurrency

communication

Education

Physics/Mathematics/CS degree

Tools

Ansible IaC

OCI REST APIs

Linux networking

Job description

Referment is working with a global investment and technology organisation to hire a Systems Developer for a team responsible for high-performance research and trading infrastructure. This is a hands-on engineering role spanning large-scale compute, operating systems, development tooling, networking and storage.
You’ll work in a distributed computing environment where software engineering meets systems performance. The remit offers breadth across workload scheduling, fleet management, clustered file systems and the measurement and tuning of low-latency, high-throughput platforms.

The Role

• 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.

What We're Looking For

• Professional experience in infrastructure orchestration and fleet management is essential for this role.
• Advanced Python proficiency for systems engineering, including experience with high-concurrency frameworks (such as FastAPI or Asyncio) and the use of static analysis or type hinting.
• A degree in Physics, Mathematics, Computer Science, or a related technical field, 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.

Desirable Experience

• Experience with Infrastructure as Code (IaC) tools, with a particular interest in Ansible and the development of custom modules.
• Exposure to cloud-native infrastructure management and integration, such as OCI and REST APIs.
• Linux systems and networking.
• Exposure to HPC, storage, GPU infrastructure or data-centre hardware.

This could suit a software engineer, systems programmer or infrastructure developer looking to work close to the operating system and large-scale compute layer.
Referment