Responsibilities: Contributing new software components both for live trading and research that scale effectively Designing and extending data-intensive ETL pipelines Profiling and optimizing the hot paths of the codebase for performance Building and maintaining continuous integration pipelines Enhancing the live system’s stability and observability via monitoring and alerting Requirements: Bachelor's degree in Computer Science, Engineering. 2 years experience with core Python and its mainstream big data / scientific libraries (NumPy, Pandas, etc.) Working experience with at least one strongly typed programming language (ideally C++) Excellent communication and teamwork abilities and the ability to work in a fast-paced, collaborative, and geographically distributed environment Nice to Have: Experience with scripting languages such as Bash Experience with Google Cloud platform Experience with workflow management and task scheduling