Quant Systems: Systems Developer (London) (4E5067B)

Referment; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Referment is partnering with a global investment and technology organisation to hire a Systems Developer for high-performance research and trading infrastructure. This hands-on role covers large-scale compute, OS, tooling, networking and storage, with breadth across workload scheduling, fleet management, and platform reliability.

You will design, implement and tune systems engineering solutions, build monitoring tools, and collaborate with an international team supporting critical workloads.

Qualifications

• Experience in infrastructure orchestration and fleet management.
• Advanced Python for systems engineering, including high-concurrency frameworks.
• Degree in Physics, Mathematics, Computer Science, or related field, or up to five years’ practical experience.
• 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.
• Contribute to clustered file-system design, 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.
• Possibly engage across large-scale compute environments and platform operations.

Skills

Python proficiency

Infrastructure orchestration

Fleet management

High-concurrency frameworks

Static typing

Communication skills

Education

Degree in Physics/Math/CS

Tools

Ansible

REST APIs

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.

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