> Markdown version of [/jobs/ext/3841256-senior-software-engineer-assistant-vice-president-margin-technology](https://www.wearedevelopers.com/jobs/ext/3841256-senior-software-engineer-assistant-vice-president-margin-technology). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer (Assistant Vice President) - Margin Technology

- **Company:** Citi
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $96,960.0 - $145,440.0
- **Contract:** Franchise
- **Skills:** Clean Code Principles, Amazon Web Services, Amazon S3, Databases, Data Structures, Distributed Systems, Amazon DynamoDB, MongoDB, NoSQL, Cloud Services, Standard Sql, Software Engineering, Kubernetes, Apache Kafka, Restful APIs
- **Published:** October 20, 2026
- **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/Tampa-Florida-United-States/Senior-Software-Engineer--Assistant-Vice-President----Margin-Technology_26960494/apply

## About the Role

This role is for someone who enjoys solving engineering challenges, has experience in building robust and high-quality solutions, has excellent communication skills and can manage multiple priorities simultaneously., * Hands-on professional software development experience

 * Bachelor's degree in computer science or engineering field involving software programming or systems engineering
 * Proficiency in programming in mainly Java, React and/or Python
 * Strong hands-on experience of building RESTful APIs using popular frameworks like Spring
 * Experience of following TDD and clean code principles
 * Proficiency with data structures, algorithms and SQL
 * Able to independently work in fast paced and rapidly changing environment

Any Beneficial / Nice to have skills and experience:

 * Experience of working in investment bank or financial services industry
 * Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database