# Jonathan Nguyen

> Software Engineer

Location: New York, New York, United States
Profile: https://flows.cv/jonathannguyen

Hi! I’m an Infrastructure engineer who has created a robust cloud infrastructure in AWS (Terraform). As an infrastructure/platform engineer, I also enjoy creating tools/libraries to empower engineering teams with technologies like Kafka, gRPC & more!

Previous experience:
• Full-stack web development with React and Java/Spring

## Work Experience
### Software Engineer @ Stripe
Jan 2024 – Present | New York, New York, United States

### Software Engineer @ Imprint
Jan 2022 – Jan 2024 | New York, New York, United States
Infrastructure & Platform team
Tech: Go, Terraform, Kubernetes, Istio, AWS, Kafka, gRPC

### Software Engineer @ Expedia Group
Jan 2021 – Jan 2022 | Seattle, Washington, United States
Egencia - Hotel Search team
Tech: Java, JavaScript, Spring, React, AWS, Snowflake

### Undergraduate Research Assistant @ The University of Texas at Austin
Jan 2019 – Jan 2020 | Austin, Texas, United States
- Researching the impact of GDPR on database systems and attempting to design a GDPR compliant viable database
- Explored optimizations and weaknesses of a state-of-the-art cache prefetcher, the Irregular Stream Buffer

### Software Engineer Intern @ Visa
Jan 2020 – Jan 2020 | Austin, Texas, United States
- Devised and wrote a White Paper proposal for a Visa product in an untapped market using current Visa services
- Integrated with my mentor and colleagues’ teams to discuss about their technical roles and responsibilities

### Software Engineer Intern @ Southwest Airlines
Jan 2020 – Jan 2020 | Dallas/Fort Worth Area
- Integrated with a SAFe Agile team to create a new test automation library
- Initiated and designed a new mobile application to be used by Southwest’s pilots with my class of interns

### Software Engineer Intern @ NASA - National Aeronautics and Space Administration
Jan 2019 – Jan 2019 | Huntsville, Alabama Area
- Implemented frontend features for a flyout data analysis website tool to complete user stories in our Agile software development sprints as a developer on the Flight Software Tools Team using ReactJS and Git
- Designed and tuned 3 neural network architectures to detect injected anomalies in sensor data on the Space Launch System and achieved a 78% detection accuracy with 0 false positives with the Machine Learning Team


## Education
### Computer Science
The University of Texas at Austin


## Contact & Social
- LinkedIn: https://linkedin.com/in/jonathan-nguyen-ut

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Source: https://flows.cv/jonathannguyen
JSON Resume: https://flows.cv/jonathannguyen/resume.json
Last updated: 2026-03-29