Distributed Systems Engineer

Distributed Systems Engineer – Global Quant Trading Firm | Up to £400k TCA globally recognised and fast-growing quantitative trading firm are searching for a Distributed Systems Engineer to help design and optimise their distributed computing environment. You’ll be working in a highly complex and technical environment, contributing to the performance and scalability of large-scale systems that underpin the firm\’s quantitative research and trading platforms. The team has a deep engineering culture, flat structure, and a strong focus on technical excellence. Below I have included a breakdown of the role, company, and requirements. Please review and if the opportunity seems like a good fit share your CV! Role:Architect and optimise large-scale compute-intensive workloads spanning significant numbers of nodes and concurrent tasksDesign, build, and manage systems with tools like Ray and YellowDogOptimise application performance on distributed platformsProvide architectural guidance on distributed computing design and developmentDrive efficiency and scalability across the platform, with a focus on ML pipeline execution Company:Technology-led culture – Drives both trading and internal investment decisionsc.1,000 employees – Large enough for scale, small enough for individual impactNew state-of-the-art London HQ – Core hub for engineering and trading, Free On-Site GymFlat structure – Direct access to senior engineers and C-level leadersStrong Glassdoor ratingGreat work life balance (frequently quoted on Glassdoor) – Free Breakfast and Lunch, 2 days per week WFHCompetitive Compensation – Year 1 guaranteed bonus, 13% pension, Potential for Sign-On Bonuses Requirements:Understanding of Loosely/Tightly coupled workloadsHPC platform experienceJob/Resource scheduling experience i.e. YellowdogCloud platform proficiency (any provider)Experience with large scale systems (1k+ Nodes, 10k+ tasks)Experience monitoring/troubleshooting a distributed environmentAdvance Ray experience for ML pipelines, tuning, distributed executionPython and Conda proficiencyDocker + Kubernetes experienceKnowledge of networking (TCP/IP, UDP/IP, LAN/WAN)Identify and access management knowledge