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

Supporting, maintaining, and enhancing the firm's trading Linux infrastructure
Providing day-to-day support for the Linux environment including emergency responses, change executions, troubleshooting, and resolving performance issues
Contributing to the development and refinement of tools and systems to automate provisioning, configuration, and monitoring of thousands of Linux servers
Managing essential core services such as DHCP, LDAP, DNS, and NFS for on-prem and hosted data centers as well as public clouds
Reviewing existing and implementing new designs for trading systems on the Cloud with the Cloud Architecture team
Improving the performance, resilience, availability, and observability of existing Cloud environments
Working in complex brownfield Cloud environments that host 24/7 critical trading infrastructure that is specifically optimized for high frequency, low latency, real-time processing using custom OS builds and highly specific Cloud platform configurations
Engaging in a rotational on-call schedule, including early morning and weekend shifts, to provide timely support

Qualifications

At least 5 years of experience in maintenance, operation, and administration of a sufficiently advanced Linux environment
Comprehensive knowledge of operating system principles, with a particular focus on Linux internals
Competence in server-side networking, including understanding network protocols and configurations
Proficiency in developing automation and monitoring tools
Experience with configuration management, provisioning, and orchestration tool (Ansible)
Good knowledge of Python, expert knowledge of Bash for scripting and automation tasks in a Linux environment
Understanding of Linux configuration management, source control, CI/CD, and automated deployment
Experience of continuous improvement and/or refactoring of infrastructure automation to improve the stability, reliability and performance of the Cloud platforms in a fast moving environment that needs to remain responsive to trading team requirements
Good problem-solving skills, underpinned by a methodical approach to technical challenges. This includes an ability to communicate effectively, demonstrating strong interpersonal skills, a sense of responsibility, and a commitment to driving projects to completion.
Comfort using AI in day-to-day activities
Strong expertise in AWS compute, networking and storage services (EC2, ENA, VPC, ELB, Direct Connect, S3, EBS) in the context of low latency performance engineering, including how Linux operating system and kernel components are specifically tuned for an EC2 environment and the AWS network