DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is looking for outstanding Software Engineers with an expertise in low latency and high availability systems. In this role, you will be tasked with implementing, developing, maintaining and integrating with existing trading platforms.

Responsibilities:

• Spearhead the design and implementation of a new trading platform while leveraging existing systems within DRW
• Collaborate widely with trading desks and supporting DRW business units
• Maintain the platform to ensure maximum uptime
• Provide on-call support as needed

To qualify for this role, you must have:

• Built complex systems in modern Python that are maintainable and safely refactorable
• Developed high availability distributed systems in Python, C , or Rust with tight resource/latency constraints
• Designed concurrent and parallel applications with a strong understanding of hardware/software interaction
• A good understanding of computer networking, related technologies, and their tradeoffs
• Experience with data analysis and event processing
• Proficiency in containerization environments - particularly Docker and Kubernetes
• Practical knowledge of fundamental statistics and numerical recipes
• Experience writing software for the trading domain, preferably equities
• Strong verbal and written communication skills
• Strong internal motivation and a continual desire to learn

Bonus points if you have:

• Collaborated with Research teams and Quants
• Working knowledge of high-level machine learning concepts and lifecycle
• Comfort working "under the hood" and are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting