Senior Python Architect – VP, Cloud, Risk & AI

Citigroup; Tampa (FL); On-site; USD 114,000 - 171,000; Full time

Job summary

Citigroup in Tampa, FL is seeking a Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver scalable, high-performing applications in the quantitative and market risk domain.

You will lead architecture of Python frameworks, implement RESTful APIs, collaborate with Risk, Quants, FO, DevOps, and Production Support, and ensure SDLC best practices in a global, fast-paced environment.

Qualifications

• 6+ years of hands-on Python development experience.
• Experience with FastAPI, Django, Flask.
• Strong SQL (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB, Redis).
• RESTful API design and security.
• CI/CD with Jenkins, GitHub Actions.

Responsibilities

• Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
• Develop solutions adhering to architectural standards with in-depth technical and business domain knowledge.
• Enforce SDLC best practices and contribute to code quality through reviews.
• Collaborate with Risk, Quants, FO, DevOps, Production Support for seamless delivery.
• Drive development for Stress Testing and Regulatory Risk projects in Market Risk.
• Manage project technical aspects, including planning, governance, and ownership of initiatives.
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.

Skills

Python

FastAPI

Django

Flask

REST APIs

Microservices

Distributed Systems

PostgreSQL

Oracle

SQL Server

MongoDB

Redis

CI/CD

Unix/Linux

Cloud Platforms

Education

Bachelor's degree

Master's degree

Tools

Jenkins

GitHub Actions

Docker

Kubernetes

Git

Jira

Job description

Citigroup in Tampa, FL is seeking a Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver scalable, high-performing applications in the quantitative and market risk domain.

You will lead architecture of Python frameworks, implement RESTful APIs, collaborate with Risk, Quants, FO, DevOps, and Production Support, and ensure SDLC best practices in a global, fast-paced environment.