Low Latency Trading Platform Developer
4 days ago
DRW is a pioneering trading firm that combines sophisticated technology and exceptional talent to operate in global markets. With over three decades of experience, we've developed a unique approach to trading that emphasizes autonomy, adaptability, and a willingness to challenge consensus.
Our headquarters are located in Chicago, with offices throughout the US, 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. Additionally, we've expanded into non-traditional strategies such as real estate, venture capital, and cryptoassets.
At DRW, we're passionate about creating a workplace that encourages growth, collaboration, and innovation. We believe that it's not just what we do that matters, but how we do it. This approach has enabled us to establish a reputation as a leader in the trading industry.
Job Position
We're seeking an experienced Software Engineer to join our team and contribute to the development of our low latency and high availability trading systems. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining our trading platforms.
Key Responsibilities:
- Lead the design and implementation of a new trading platform using existing systems within DRW.
- Work closely with trading desks and supporting business units to ensure seamless integration.
- Maintain the platform to guarantee maximum uptime and performance.
- Provide on-call support as needed to ensure continuous operation.
Compensation:$180,000 - $240,000 per annum
Requirements:
- Proven experience in building complex systems in modern Python with maintainability and safety.
- Developed high availability distributed systems in Python, C++, or Rust with strict resource/latency constraints.
- Expertise in concurrent and parallel application design with a deep understanding of hardware/software interaction.
- Familiarity with computer networking, related technologies, and tradeoffs.
- Experience with data analysis and event processing.
- Proficiency in containerization environments - particularly Docker and Kubernetes.
- Knowledge of fundamental statistics and numerical recipes.
- Experience writing software for the trading domain, preferably equities.
- Excellent verbal and written communication skills.
- Strong internal motivation and a desire to continually learn.
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