Senior Storage Engineer

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: The successful candidate will join the infrastructure team at QRT as a Senior Engineer within our Research infrastructure engineering team. This team is responsible for our cutting-edge high-performance trading and research infrastructure and are responsible for development and maintenance across operating system platforms, software development tooling, high-performance computing, high performance networking, and large-scale storage systems. The candidate will work directly with our research and trading teams with a primary focus on high performance storage systems supporting our high-performance computing (HPC) domain. You will already have a strong technical background in building, testing and supporting Linux based, large-scale, high-performance workloads, with likely deep exposure in technologies and vendors such as NFS, S3, CEPH, GPFS, Lustre, ROCE, VAST, WEKA or DDN. You will work directly with our researchers to understand their technology ecosystem which is using the latest AI/ML modelling technologies. You will have had exposure to AI/ML modelling toolsets and translated these requirements into a high performance and scalable storage infrastructure. Your present skillsets: As a senior engineer, you will partner closely with our research and infrastructure engineering teams and work in a highly collaborative manner. You will have 8+ years of experience in storage systems administration and platform engineering. You will have deep knowledge in storage protocols across Posix compliant filesystems, NFS, CIFS, S3 and have deployed at scale using high performance networking architectures using for example kernel bypass, ROCE or Infiniband. You will have deep knowledge of high-performance benchmarking analysis, tuning and optimisation across Linux kernel tuning, network and storage performance. You will have strong knowledge of DevOps tooling including Terraform/Ansible and be able to demonstrate use of CI/CD technologies such as Gitlab and Jenkins. You will stay at the forefront of industry trends and emerging technologies, providing strategic insights to optimize our infrastructure and operations, performing proof of concepts and presenting results where applicable. You will have strong knowledge of Python, Golang or similar programming and scripting languages. You will have strong knowledge of Infrastructure metric visualisation using Splunk, Prometheus and Grafana. You will preferably have expertise with container technologies like Docker and orchestration platforms like Kubernetes. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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