Job Opportunities API

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation  for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.  Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments Maintaining and improving large-scale Linux systems spanning compute, storage, networking, automation, and monitoring Troubleshooting complex issues across OS, storage, networking, and cluster scheduling layers in collaboration with other infrastructure teams Managing and optimizing batch and containerized workloads across diverse compute resources (CPU and GPU) Developing, operating, and improving cloud infrastructure across various providers such as GCP, AWS, and Azure Building and maintaining HPC management tools, user access modules, and internal libraries Developing metrics and observability pipelines, analyze system performance, and drive improvements in cluster utilization and efficiency Managing code deployments, upgrades, fixes, and infrastructure lifecycle processes Identifying manual or repetitive workflows and design automation to improve reliability and user experience Staying current with emerging hardware and software technologies relevant to HPC, storage, and cloud infrastructure Qualifications A bachelor’s degree or higher in computer science, engineering, or a related field 1–5 years of relevant experience in Linux systems, DevOps, HPC, or infrastructure engineering Strong understanding of Linux internals (process scheduling, virtual memory, filesystems, networking) Experience with batch schedulers such as Slurm or HTCondor is a plus Experience with distributed or networked storage systems (e.g., NFS, Weka, or object storage) Experience with at least one major cloud provider (GCP, AWS, or Azure) Familiarity with Infrastructure-as-Code and configuration management tools such as Ansible, Terraform, or Salt Strong scripting or programming skills in Python, GO or Bash scripting Hands-on experience with container technologies such as Docker/Podman and Kubernetes Solid understanding of networking fundamentals (TCP/IP, Ethernet) Working knowledge of hardware and server components Strong troubleshooting skills, with a bias toward automation and operational excellence Clear communication skills and a strong focus on end-user experience Nice to Have Experience managing GPU-based compute platforms Exposure to CI/CD systems and release automation Experience operating hybrid on-prem + cloud HPC environments