Senior Python Engineer-Vice President

Citi

Irving (TX)

On-site

USD 114,000 - 171,000

Full time

8 days ago
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Job summary

Citi is seeking a Senior Python Developer in Tampa, FL, to design, develop, and deliver scalable software for the Market Risk domain. You will work on RESTful APIs, microservices, and AI-enabled workflows, partnering with Risk, Quants, FO, DevOps, and Production Support teams.

Requires 6+ years of hands-on Python experience, expert Python, and strong cloud/CI/CD skills. The role emphasizes high performance, security, and delivery under tight timelines in a global matrixed environment.

Qualifications

  • 6 years of hands-on Python development experience.
  • Expert-level Python 3.x for scalable, high-performance apps.
  • Proficient with FastAPI, Django, Flask; OOP and architecture patterns.
  • Deep knowledge of microservices, distributed systems, and REST APIs.
  • Experience with PostgreSQL/Oracle/SQL Server and MongoDB/Redis.
  • CI/CD tooling (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines).
  • Unix/Linux fluency; strong debugging and profiling skills.

Responsibilities

  • Lead implementation and architecture of Python-based frameworks for scalable apps.
  • Develop solutions following architectural standards with strong domain knowledge.
  • Improve code quality through reviews and SDLC best practices.
  • Collaborate with Risk, Quants, FO, DevOps, Production Support teams.
  • Drive Stress Testing and Regulatory Risk projects in Market Risk.
  • Own planning, governance, and delivery of initiatives in a matrixed environment.
  • Deliver high-quality solutions independently under tight deadlines.

Skills

Python
FastAPI
Django
Flask
PostgreSQL
Oracle
SQL Server
MongoDB
Redis
CI/CD
Jenkins
GitHub Actions
Docker
Kubernetes
Pytest
Unix/Linux
REST APIs
Microservices
Distributed Systems
Git

Education

Bachelor's degree
Master's degree preferred

Tools

FastAPI
Django
Flask
PostgreSQL
Oracle
SQL Server
MongoDB
Redis
Jenkins
GitLab CI
GitHub Actions
Bitbucket Pipelines
Docker
Kubernetes
Pytest
unittest

Job description

We are seeking a highly experienced and technically proficient Senior Python Developer with 6 years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.

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

I. Core Python & System Development:

  • 6 years of hands-on experience in Application Development, primarily with Python.
  • Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
  • Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP).
  • Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
  • Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
  • Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
  • Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
  • Highly experienced with Unix-based operating systems.

II. Cloud & DevOps:

  • Strong background in cloud platforms (AWS, Azure, Google Cloud Platform), including containerization (Docker) and contributing to Kubernetes orchestration.
  • Advanced troubleshooting, debugging, and performance optimization for distributed systems.
  • Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
  • Solid understanding of secure coding practices and application security principles (OWASP Top 10).
  • Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows.

III. Quantitative & Risk Domain:

  • Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
  • Sound understanding and exposure to various Risk Methodologies.
  • Exposure to mathematical modeling/finance insights.

IV. Artificial Intelligence (AI) Integration (Exposure):

  • Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
  • Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
  • Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
  • Understanding and practical application of Generative AI concepts in software development.
Professional Skills:
  • Deep understanding and practical experience with Agile/Scrum methodologies.
  • Exceptional ability to manage priorities and tasks effectively.
  • Strong analytical, logical, systems thinking, and critical analysis skills.
  • Excellent written and verbal communication for diverse audiences.
  • Ability to work independently, take ownership, and collaborate effectively in global teams.
Desirable Qualifications:
  • Polyglot Programming Exposure (e.g., Java).
  • Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
  • Frontend Development (React, Angular, Vue.js).
  • Relevant Cloud or Industry Certifications.
  • Experience with banking domain (pricing, risk), CFA/FRM certification.
Key Focus Areas / Desirable Skills
  • Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
  • Machine Learning: PyTorch, TensorFlow, Fine-tuning
  • Frameworks: LangChain, LlamaIndex, Hugging Face
  • Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
  • Orchestration: LangGraph, Multi-Agent Systems
  • Development: Python, FastAPI, Async Programming
  • Deployment: Docker, Production APIs, Monitoring
  • Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
++Education:++
  • Bachelor?s degree/University degree or equivalent experience
  • Master?s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$113,840.00 – $170,760.00

In addition to salary, Citi?s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above.

Anticipated Posting Close Date:
Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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