Senior Systems Engineer

About the role

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