Senior Systems Engineer

Tower Research Capital • New York, NY

1d • Hybrid

About The Position

Tower Research Capital is a leading quantitative trading firm founded in 1998 with a 25+ year track record of innovation. The firm has built its business on a high-performance platform and independent trading teams, known for discovering unique market opportunities. Tower is home to top systematic trading and engineering talent, empowering portfolio managers to build teams and strategies independently while benefiting from the economies of scale of a large, global organization. Engineers at Tower develop electronic trading infrastructure, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning. The company continuously invests in engineering talent and technology to maintain an unmatched platform in functionality, scalability, and performance. Business Support teams are crucial for building and maintaining the platform, combining market access, data, compute, and research infrastructure with risk management, compliance, and business services, enabling trading and engineering teams to perform optimally. Tower offers a stimulating, results-oriented environment where intelligent and motivated colleagues inspire each other to reach their potential.

Requirements

• A bachelor’s degree in Computer Science or a related field
• At least 5 years of experience
• Proficiency in Bash, Python, or Go for automation
• Strong expertise in HPC and distributed workloads to design scalable, high-performance cloud infrastructure
• Deep hands-on experience with Infrastructure as Code, Linux systems, cloud networking, and storage architectures
• Ability to build automated, production-grade cloud platforms for compute-intensive environments
• Deep understanding of cloud networking, storage architectures, and storage protocols (NFS, object, block, parallel/distributed storage)
• Expertise with Terraform or equivalent IaC tools
• Experience with HPC schedulers (Slurm/HTCondor)
• Experience with distributed computing frameworks such as Ray

Responsibilities

• Architect and implement scalable cloud infrastructure using Terraform (or equivalent IaC tools)
• Design high-performance compute environments, including optimized networking and storage stacks
• Manage and optimize Kubernetes clusters in cloud environments
• Automate infrastructure workflows and build complex CI/CD pipelines
• Build and maintain custom cloud images
• Implement robust monitoring and observability for performance-critical workloads
• Lead on-prem to cloud and cloud-to-cloud migrations of HPC and distributed workloads
• Collaborate with research/engineering teams to optimize compute, storage, and scheduling efficiency

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 (e.g., gym, personal training and more)
• Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees