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Senior Python Engineer role on the XiNG large scale distributed calculation platform (XiP). The platform is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users. The system coordinates hundreds of thousands of pods, consumes tens of thousands of compute cores, utilizes hundreds of TB of memory, and distributes hundreds of millions of calculations daily.
Job Responsibility:
Take part of the shared responsibility for the long-term strategic direction of XiP
Serve as advisor or coach to team members, allocating and overseeing work
Implement the new generation of Citi's Risk Calculation Engine
Operationally support the optimization of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations
Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone
Provide specialized customer support to optimize and improve large, distributed calculations
Requirements:
5+ years of professional software development experience with Python
Solid experience with Python frameworks (e.g. Flask, FastAPI, Pydantic)
Experience with python packaging and environment managers (pip, conda, virtual environments)
Experience with async programming in python (e.g. multiprocessing, subprocess, concurrent.futures)
Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
Experience designing, building, and maintaining large-scale, distributed systems
Experience with RESTful API design and implementation
Experience with unit testing, integration testing, and test automation frameworks (e.g. Pytest, unittest)
Experience working in Agile/Scrum development environments
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Nice to have:
Exposure to NoSQL databases (e.g., MongoDB, Cassandra)
Experience with CI/CD pipelines and DevOps practices
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