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Hudson River Trading

Systems Software Engineer

Hudson River Trading, Boulder, Colorado, United States, 80301


The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage our server and network infrastructure. As a Systems Software Engineer, your main focus will be tool development in Python. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and building new ones to make trading, research, installation, and monitoring systems easier to manage and more reliable. Strong Python skills and development experience are required, along with Unix experience.

This role offers a unique opportunity to have a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

Building and maintaining tools and software features to automate systems engineering workflows related to machine provisioning, monitoring, metrics collection, maintenance, and network configuration

Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues

Writing configuration management code to build, deploy, and maintain new services

Helping to set the general direction for the Systems Python platform

Qualifications

Required:

Strong Python programming

Ability to debug and analyze problems quickly

Ability to learn at a fast pace and apply new skills effectively

Strong grasp of computer science fundamentals and software design patterns

Solid understanding of Linux/UNIX operating systems

Preferred:

Understanding of Debian operating system

Familiarity with systems configuration management and monitoring technologies

Familiarity with continuous integration and continuous deployment tools and processes

Understanding of networking protocols

Profile

BS and/or MS in computer science or a related field

2+ years of relevant experience, including programming in Python

Experience using automation to solve problems and improve processes efficiently

Acts effectively as a team player but also work well independently

skilled at juggling multiple tasks while maintaining a high level of attention to detail

Familiar with open-source software

This job is accepting ongoing applications and there is no application deadline.Annual base salary range of $150,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package. In addition, Hudson River Trading offers comprehensive benefits, including medical, dental, retirement, paid time off, educational reimbursement, and fitness stipend.Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.