Job description

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 : 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 Qualifications : 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 Anticipated annual base salary range $150,000-250,000, plus eligible for discretionary bonus. 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.

Requirements

Must-haves

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
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
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
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.
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)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningkubernetesci/cdpythongo

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Paid Time Off

Wellness