Quant Systems: Systems Developer (London) (334CB38)

Referment; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Referment is seeking a Systems Developer to work on high-performance research and trading infrastructure. The role covers large-scale compute, OS, tooling, networking and storage in a distributed environment, with workload scheduling, fleet management and low-latency tuning at its core.

You will build metrics, contribute to file-system design and collaborate with a global team supporting research and trading workloads. A physics/math/cs background or equivalent practical experience is required.

Qualifications

• Experience in infrastructure orchestration and fleet management.
• Advanced Python proficiency for systems engineering, incl. high-concurrency frameworks and typing.
• Degree in Physics, Mathematics, CS or related field, or up to five years practical exp.
• Curiosity to investigate unfamiliar problems and learn quickly.
• Clear written and verbal communication, organisation and time-management.

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 for infrastructure insights.
• Collaborate with a global engineering team supporting research and trading workloads.

Skills

Infra orchestration

Fleet management

Python (Advanced)

High-concurrency frameworks

Static typing

Kernel & network tuning

Education

Degree in Physics/Math/CS

Tools

FastAPI

Asyncio

Type hints/Static analysis

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