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The Payroll Assistant will assist the Senior Payroll Specialist in coordinating and processing monthly payrolls for various jurisdictions, managing payroll data accuracy, performing reconciliations, and handling employee payroll queries. They will also participate in automation and process improvement projects.

The Trading Support Analyst role involves supporting the setup and maintenance of Power, Gas, and GOO markets, automating trade-support tasks, and collaborating with various stakeholders to ensure business operations run smoothly.

As a Performance Engineer at QRT, you will tune and optimize Linux systems on x86 hardware to achieve low-latency trading objectives. This involves configuring the Linux kernel, building custom systems, and supporting FPGA systems, while documenting processes and results clearly.

As a Senior Linux Platform Engineer at QRT, you will lead infrastructure operations, specializing in Linux systems, high-performance computing, and network tuning. Responsibilities include system performance optimization, troubleshooting complex issues, and collaborating with research and trading teams. You will implement and oversee workload scheduling, system management, and software development lifecycle processes.

As a Quantitative Developer at Qube Research & Technologies, you will enhance systematic trading software and collaborate with traders and quant researchers in a fast-paced environment. Your responsibilities include building real-time trading systems, designing maintainable architectures, and working on both manual and automated trading strategies.

The Senior Storage Engineer will lead the infrastructure team at QRT, focusing on high-performance storage systems for HPC. Responsibilities include building, testing, and supporting Linux-based workloads, optimizing storage protocols, and collaborating with research teams using AI/ML technologies.

Collaborate with development teams to translate business requirements into cloud-based solutions. Design, develop, and manage cloud infrastructure and applications using AWS services and AWS CDK. Implement and maintain CI/CD pipelines for automated code deployment. Write and maintain scripts in Python to automate cloud operations and infrastructure tasks. Monitor cloud environments, analyze performance metrics, and recommend improvements to current processes and technologies.