Software Engineer - Trading System Developer

Numeus

We are seeking an experienced DevOps Infrastructure Engineer to manage and maintain our cloud-based systematic trading infrastructure and build tools to enable and accelerate research. The ideal candidate will have extensive experience in software development tools, production management and cloud tooling in a systematic trading environment. Key Responsibilities: * Create, manage and maintain our production, research and trading infrastructure across multiple cloud regions * Optimize our low-latency systematic trading compute and network infrastructure * Support large research computing and modeling workloads with resilient, auto-scaling clusters and efficient hardware utilization * Troubleshoot and resolve any technical issues that arise, including server downtime, network connectivity problems, and cloud outages * Monitor system performance, and proactively identify and address any performance bottlenecks, security vulnerabilities, or other issues that could impact trading operations * Work collaboratively with quantitative researchers, traders, developers, and other stakeholders to understand their needs and ensure that the trading and research infrastructure meets their requirements Requirements: * 5+ years experience as an Infrastructure Engineer or similar role in a fast-paced environment, ideally buy-side systematic trading * Production experience with cloud technologies, ideally AWS. Certifications alone are not enough. * Extensive experience with Kubernetes, including large auto-scaling clusters, and highly available services, as well as knowledge of related GitOps tools such as FluxCD or ArgoCD * Hands-on production experience with Linux, including knowledge of installations, configurations, and troubleshooting * Religious about IaC, mastery of Terraform is required. Must have a passion for automation, and experience with relevant tools, such as Ansible. * Practical working knowledge of UDP, TCP/IP, routing protocols, VPN technologies, user-space kernel bypass networking. Ability to dive deep and understand the full network stack. * Experience with monitoring frameworks, such as Prometheus and Grafana * Self-starter with strong verbal and written communication skills * Ability to travel periodically between our offices in London, NYC, and Zug, Switzerland Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you. The base salary for this role is anticipated to be between $125,000 and $200,000. This anticipated base salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You'll help build and operate QRT's internal AI platform, enabling researchers, developers and data scientists to leverage LLM-powered tools effectively at scale. Working alongside experienced Platform Engineers, you'll contribute to production AI services including RAG pipelines, agentic workflows, retrieval infrastructure and internal APIs. This role is ideal for an early-career engineer or recent graduate with a strong foundation in AI and machine learning who is excited to bring cutting-edge models into production systems. YOUR FUTURE ROLE WITHIN QRT: AI PLATFORM DEVELOPMENT - * Build and enhance internal AI services, APIs and production applications. * Contribute to RAG pipelines, including document ingestion, embeddings and retrieval. * Support the deployment of transformer-based models and agentic workflows. * Design scalable, well-documented APIs for internal users. PLATFORM RELIABILITY & QUALITY -  * Improve service reliability, latency and evaluation frameworks. * Contribute to prompt management, testing and human-in-the-loop controls. * Build resilient AI systems with monitoring and fallback mechanisms. OPERATIONS & OBSERVABILITY - * Implement monitoring, tracing and quality metrics across AI services. * Support deployment, versioning and lifecycle management. * Participate in operational support and incident response alongside senior engineers. YOUR PRESENT SKILLSET: We value a combination of academic achievement, research and practical experience. We do not expect candidates to meet every requirement below. * Bachelor's, Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics or another quantitative field, or equivalent practical experience. * Strong foundation in AI and machine learning, including exposure to transformers and reinforcement learning. * Strong Python skills and an interest in building production-grade software. * Experience with PyTorch or another deep learning framework. * Understanding of LLM fundamentals, including prompting, context management and model limitations. * Experience building AI/ML applications or working with LLMs or other deep learning models. * Exposure to cloud platforms (e.g. AWS) and modern software engineering practices. * Strong communication skills and the ability to collaborate across technical and non-technical teams. NICE TO HAVE: * Experience deploying ML or LLM models into production. * Familiarity with RAG systems, vector databases and retrieval techniques. * Experience with agentic AI systems, workflow orchestration or LLM evaluation. * Understanding of embeddings, retrieval performance and human-in-the-loop systems. * Experience building APIs, data pipelines or observability tooling. * Contributions to open-source projects, research publications or ML competitions (e.g. Kaggle).   Base salary range for this position is $180,000 to $300,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  Your future role within QRT: QRT are a rapidly growing hedge fund trading globally in competitive financial markets across Europe, the Middle East and Asia. As part of the next phase of development we are rolling out hardware platforms to accelerate our trading systems. FPGA development will be at the heart of many of these systems with a focus on high frequency trading.  We are looking for talented hardware engineers with a track record of achievement in any domain. You may have experience of finance and trading, but it is not essential. You probably enjoy solving complex system problems where hardware and software come together to provide high performance solutions. We are looking for a range of experience from graduates through to senior engineers, so your achievements may be in academia or industry. You will have the opportunity to work with the latest technologies and have your voice heard in this fast paced firm. Working with trading teams you will take ownership of: * Translating trading ideas into the most appropriate solutions * Develop RTL on the latest FPGAs with modern design flows * Following through into production, analysing results and optimising Your present skillset: * A deep understanding of FPGA architecture leading to efficient designs * Full lifecycle RTL development including automated verification * Python scripting * A working knowledge of C/C++ development * An ability to see through complexity to identify simple solutions * A realisation that good teamwork is essential to modern development   Base salary range for this position is $180,000 to $280,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.