Software Engineer - Distributed Systems (Storage/Databases)
Hudson River Trading (HRT) is a leading quantitative trading and investment firm specializing in multi-asset class strategies. At the core of our success lies the power of our compute cluster, the foundation where all our trading strategies are conceived and refined.
We’re looking for innovative minds to enhance the data storage libraries and tools leveraged by our Research teams to generate cutting-edge strategies. As a Storage Developer, you’ll dive deep into C++ and advanced storage solutions, working at massive scale to enable groundbreaking research. Surrounded by a team of exceptional developers constantly pushing the boundaries of their expertise, you’ll be amazed at the impact you can achieve.
Profile
- You’re able to talk both high-level distributed systems design trade-offs and low-level OS-level details
- You’re able to balance being detail-oriented with good prioritization of what matters now vs. later
- You thrive in collaborative environments and have a strong sense of ownership
- In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related
Responsibilities
- Work with a small team of skilled developers to create distributed storage systems customized to fit HRT’s needs
- Stay informed about the current “state of the art” and help bridge the gap between here and there
- Understand our Research team’s storage and compute needs, and build for the next generation of research
Qualifications
- Proficient C++ experience is required, daily use preferred
- Distributed systems experience required (ability to reason about fault tolerance, sharding, trade-offs, and designing for simplicity and robustness under failure)
- Previous experience developing databases, distributed filesystems, search infrastructure, or similar ideal but not required
- Ability to work productively in a Linux environment
- Knowledge of UNIX operating systems, low-level systems-level performance issues, and networking
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
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.
Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.