# WeiLi Zhu

> Senior Software Engineer at Flexport

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/weili

More than 5 years of software development experience;
Two years experience as an Infra engineer with Python, Node.js, C++ and Go;
More than 2 years of hands on experience with MEAN stack, SMACK stack, REST API, Docker, Python/Flask/Django and AWS.

## Work Experience
### Software Engineer @ Snap Inc.
Jan 2024 – Present | Palo Alto, California, United States

### Senior Software Engineer - Data Infrastructure @ Flexport
Jan 2022 – Jan 2024 | San Francisco Bay Area
• Core member of Data Infra Team.
• Develop and maintain Terraform AWS K8s cluster of Kafka.
• Design and build Data/ETL Piplines with MongoDB, Postgresql, Mysql, SnowFlake witk Kafka.
• Develop Ruby/Python/Kotlin related lib for Kafka.
• Main knowledge source for teams to onboard and debug kafka realted projects.
• Develop and support self-service for teams to quickly deploy kafka connectors.

### Senior Software Engineer @ UJET
Jan 2020 – Jan 2022 | San Francisco Bay Area
Core member of Backend Engineer Team.
Build billing system for multi customers and vendors in Python.
Design and implement multi-media campaign call integration with Salesforce in Python.
Day to day tech stack: AWS, GCP, Kafka, Docker, python, ruby

### Member of the Technical Staff @ Rubrik, Inc.
Jan 2018 – Jan 2020 | Palo Alto
• Core member of Rubrik Mosaic Infra team.
• Support multi-cloud storage backup of NoSQL database.
• Design and implement unified cloud storage layer for S3, GCP and Azure.
• Support other S3 or NFS like storage based on current solution.
• Design and implement an error code schema system to boost the debugging and logging process.
• Optimize the existing code deploying/upgrading process from 40 mins to 5 mins.
• Refractory the existing Node.JS API server.
• Design and implement infra layer integration between Mosaic and Polaris.

### Backend Engineer @ Youland
Jan 2016 – Jan 2018 | San Francisco Bay Area
• Develop a real estate loan application platform using MEAN stack (MongoDB, Express, Angular/React, Node) with REST API
backend and Dockerize the web service on AWS both in China and US.
• Deploy server containers under Nginx, achieving load balancing and reverse proxy features.
• Use Redis and Dropbox as cache layer and CDN to improve the server performance and Dockerize the server app for scaling up server to multiple.
• Develop an online underwriting system to help underwriting team to distribute tasks and complete the loan process.
• Develop a Nagios monitoring service to monitor the AWS Ubuntu instances
• Develop the legal files system, reducing the work load of legal files from hours to minutes.
• Use Django as the back-end to support an investment package recommendation system.
• Use Flask as the back-end to support trading service, AI consultant service and auto-investing service with REST API.
• Build big data pipeline and machine learning system to deliver property valuation service by using SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka ) and crawler.
• Build a micro CRM system with function of automatic customer service and campaign to support sales team. Get several leads per day and convert to 3-4 loans every week.


## Education
### M.S. in Computer Science & Engineering
University at Buffalo

### M.S. in Mechanical Engineering
Jiangsu University


## Contact & Social
- LinkedIn: https://linkedin.com/in/weili-zhu-a4b279b6

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Source: https://flows.cv/weili
JSON Resume: https://flows.cv/weili/resume.json
Last updated: 2026-03-30