Software Engineer – Infrastructure and Automation

SOFTWARE ENGINEER – Infrastructure and Automation250,000-350,000Global Quantitative Trading FirmLondon – 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.

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description. 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 OverviewThis 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 ResponsibilitiesBuild and maintain internal systems such as job schedulers, monitoring stacks, and automation toolsImprove reliability, repeatability, and self-service across infrastructureWrite clean, efficient code (primarily Go, Python, Bash)Support traditional infrastructure such as servers, switches, and storage systemsParticipate in a shared on-call rota across the teamRequired ExperienceStrong 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 automationFamiliar with Git, CI/CD, and testable development practicesAble to design solutions for real usage—not just your team, but firmwideComfortable working across technical domains and collaborating with peersNice to HaveExperience with Docker, KVM, or other container/virtualisation toolsFamiliar with observability stacks (Prometheus, Grafana)TerraformPractical knowledge of networking protocols and hardware environmentsUnderstanding of low-latency or post-trade systemsWhy Apply?

Work on the internal infrastructure that makes the firm runTackle technical challenges across code, systems, and hardwareHigh autonomy in an engineering-led environmentExposure to large-scale compute, low-latency trading systems, and incredibly talented dev teamsNo legacy drag, just clean code, fast iteration, and meaningful workStrict confidentiality applies – your profile is only shared with your permission.

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