Software Engineer – Infrastructure and Automation

SOFTWARE ENGINEER – Infrastructure and Automation,000

Global Quantitative Trading Firm London – Hybrid (4 days office / 1 day remote)
Quant Capital is urgently recruiting for a high-performance trading business seeking a Software Engineer to join a core internal systems team. This group owns the infrastructure and tooling that underpins research and trading across compute, networking, and post-trade systems.

You’ll work at the intersection of infrastructure and software, building scalable, reliable tools that simplify complex environments. This is an engineering-first culture; no fluff, no legacy, just deep technical work with real ownership.

Role Overview This is a hands-on development role focused on building internal systems, services, and automation that the wider engineering and trading teams depend on. Expect to work across Linux infrastructure, internal tooling, scheduling, config management, monitoring, and deployment systems—with a focus on reducing manual effort and enabling scale.

Key Responsibilities Build and maintain internal systems such as job schedulers, monitoring stacks, and automation tools

Improve reliability, repeatability, and self-service across infrastructure

Write clean, efficient code (primarily Go, Python, Bash)
Support traditional infrastructure such as servers, switches, and storage systems

Participate in a shared on-call rota across the team Required Experience Strong programming skills in Go or Python, plus comfort with Bash and CSolid understanding of Linux internals and TCP/IP networking (DNS, DHCP, etc.)Experience developing infrastructure tools or system-level automation

Familiar with Git, CI/CD, and testable development practices

Able to design solutions for real usage—not just your team, but firmwide

Comfortable working across technical domains and collaborating with peers

Nice to Have

Experience with Docker, KVM, or other container/virtualisation tools

Familiar with observability stacks (Prometheus, Grafana)
Terraform Practical knowledge of networking protocols and hardware environments

Understanding of low-latency or post-trade systems

Why Apply?

Work on the internal infrastructure that makes the firm run Tackle technical challenges across code, systems, and hardware

High autonomy in an engineering-led environment

Exposure to large-scale compute, low-latency trading systems, and incredibly talented dev teams

No legacy drag, just clean code, fast iteration, and meaningful work Strict confidentiality applies – your profile is only shared with your permission.