Low-Latency Trading Systems Engineer (Python)
Summary
Builds and maintains low-latency trading systems in Python and Kubernetes, ensuring reliability, scalability, and performance for a Chicago-based fintech firm.
A financial technology firm in Chicago is looking for a Trading Systems Engineer who will be responsible for ensuring the reliability, scalability, and performance of critical trading systems. The ideal candidate will have strong Python skills and experience with Kubernetes in production environments. The role involves building and maintaining reliability tooling, improving system observability, and collaborating with various teams to enhance system performance. This position offers an opportunity to work in a fast-paced, innovative financial sector.