Systems Engineer II
Tower Research Capital - New York, United States
Hiring: Systems Engineer II Company: Tower Research Capital Location: New York, United States Job Posted Time: 2026-09-16 21:39:36 Employment Type: Hybrid Target Skills & Keywords : Bash, CI/CD, Configuration Management, DNS, Docker, FPGA, IaC, Infrastructure as Code, Kubernetes, Linux, Machine Learning, Python, Risk Management About the job Experience: •25+ year track record of innovation and a reputation for discovering unique market opportunities. Required Skills: •Supporting, maintaining, and enhancing the firm's trading Linux infrastructure •Supporting, maintaining, and enhancing the firm's HPC infrastructure for research •Execution of planned changes, updates, and deployment projects within the Linux server infrastructure •Manage HPC systems to support trading operations and Condor Job scheduler •Advanced profiling and troubleshooting of performance issues specifically within the Linux servers environment •Contributing to the development and refinement of tools and systems to automate provisioning, configuration, and monitoring of thousands of Linux servers •Management of essential core services such as DHCP, LDAP, DNS, and NFS for on-prem and hosted data centers as well as public clouds •Participating in an on-call rotation and occasional weekend shifts Qualifications: •Daily use of and contribution to developing automation and monitoring tools •Comprehensive understanding of Linux OS concepts and internals •Solid functional working knowledge of Intel-based hardware and server components •Good knowledge of Python, expert knowledge of Bash for scripting and automation tasks in a Linux environment •Understanding of Linux server-side networking and typical network protocols •Participation in open source or personal projects is a plus •Understanding of Linux configuration management, source control, CI/CD, and automated deployment •Strong communication skills and the ability to work effectively in a team. •Operational familiarity with cloud computing platforms and hybrid cloud environments. •Knowledge of parallel file systems (e.g., GPFS), batch systems (e.g., Slurm, Grid Engine, Condor), and high-performance network interconnects. Compensation: •Generous paid time off policies Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!