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Develop and maintain high-performance trading systems and applications while optimizing software for performance in a collaborative team environment.

Build and evolve an internal UI platform used by 100+ applications. Work full-stack on front-end, backend integration, API design, performance and observability. Contribute shared components, architecture improvements, testing, mentor juniors, and collaborate with product teams and stakeholders to deliver scalable, data-intensive, high-usability UI solutions.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

The role involves monitoring quantitative trading activities, enhancing operational tools, coordinating incident responses, and collaborating with teams to improve trading processes.