Systems Engineer

The role

The Systems Engineer will design, support, and operate HPC compute and storage infrastructure across on-premises and cloud environments. This role involves maintaining large-scale Linux systems and managing batch and containerized workloads.

What you will do

• 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
• Managing and optimizing batch and containerized workloads across diverse compute resources
• Developing, operating, and improving cloud infrastructure across GCP, AWS, and Azure
• Building and maintaining HPC management tools, user access modules, and internal libraries
• Developing metrics and observability pipelines and analyzing system performance
• Managing code deployments, upgrades, fixes, and infrastructure lifecycle processes
• Designing automation for manual or repetitive workflows
• Staying current with emerging hardware and software technologies

Required 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 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 with batch schedulers such as Slurm or HTCondor
• Experience managing GPU-based compute platforms
• Exposure to CI/CD systems and release automation
• Experience operating hybrid on-prem + cloud HPC environments
• Interest in performance tuning, scalability, and systems optimization

Benefits

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In-office wellness experiences and reimbursement for select wellness expenses
• Company-sponsored sports teams and fitness events
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities

About the company

Tower Research Capital is a leading quantitative trading firm founded in 1998. The firm has built its business on a high-performance platform and independent trading teams.