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Tower Research Capital

Systems Engineer

Hong Kong Island, Hong Kong · China · Singapore

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hirly's read of this role

Seniority
Mid level
Countries
HK, CN, SG
Work mode
Remote-friendly
First seen by hirly
2 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Interest in performance tuning, scalability, and systems optimization

Benefits

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

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

At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.

Tower Research Capital is an equal opportunity employer.

Original posting on Tower Research Capital's site ↗

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