Fixed Income Data Python Platform Engineer, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions. Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems. We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.

Job Responsibility:

Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems
Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform
Participate in component and service design for Python analytical services
Work on bug resolution and application improvements, such as performance and maintainability
May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities
Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community
Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools
Continuously look to automate manual touchpoints in the technology delivery pipeline

Requirements:

5 years of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow
Experience with Docker and Kubernetes/Openshift
Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus
Experience with DevOps technologies - Ansible, Chef is a plus
Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.
Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.
Unit testing frameworks - PyTest
Understanding of the SDLC lifecycle for Agile & Waterfall methodologies
Excellent written and oral communication skills

Nice to have:

Experience with Python LLM tools (OpenAI, Vertex, Langchain)
Experience with DevOps technologies - Ansible, Chef

Additional Information:

Job Posted:
July 31, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Fixed Income Data Python Platform Engineer