Design real-time distributed trading systems that place orders across a global set of markets and asset classes
Integrate with new assets and markets and drive clarity on the resulting requirements
Own observability and remediation tooling used to analyze trading performance and risk

Requirements:

5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems
Proven expertise in building cloud-native, distributed systems on any of AWS, Azure, or GCP
Strong coding, analytical, debugging, and troubleshooting skills

Preferred Qualifications:

Familiarity with the trading domain; experience in trading/execution systems (Order Management Systems, market data, order lifecycle)
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision-making
Track record mentoring engineers and leading technical direction

Voleon

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future. Expect internationally recognized experts in AI and machine learning, as well as highly experienced finance and technology professionals.

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