# Huizhong Gao > Senior Software Engineer @Hertz | Ex AWS | Backend, Data, Cloud, Infrastructure, Load Balancing Location: Seattle, Washington, United States Profile: https://flows.cv/huizhong Currently at Hertz. We are reinventing car rental experience by modernizing the technology behind the world's largest car rental company. My previous experiences include 4+ years at AWS EC2 load balancing team where I worked on the development and operation of distributed large scale networking infrastructure and some data intensive services for ELB, ALB and hardware load balancers. I also worked at Cisco on cloud native software development. I am passionate about solving complex problems with an expertise in data, cloud, and network infrastructures, and I am always eager to learn new skills and technologies. At the end of the day, my biggest passion as an engineer is to build products enjoyed by users. ## Work Experience ### Senior Software Engineer @ Hertz Jan 2024 – Present | Seattle metropolitan area, WA Working on engineering projects in fleet and vehicle management, rates and vehicle availability & capacity. E.g. skip the counter rental, legacy data and service modernization and migration etc. ### Software Engineer @ Amazon Web Services (AWS) Jan 2020 – Jan 2024 | Greater Seattle Area EC2 Load Balancing - managing the world's largest hardware/software load balancer fleet to provide high availability LB solutions for Amazon internal services. 3 main areas of my work: 1. Big data infra and services: more specifically network/load balancing traffic and capacity data ETL pipeline and ingestion service. Translate ambiguous business scenarios to engineering solutions with stakeholders. Own the whole lifecycle (design, implementation, release, ops) of multiple big data pipelines and a data ingestion service to facilitate efficient load balancing capacity management. Tech stack: native AWS e.g. Lambda, SNS, Glue, Dynamo, S3, Athena, AWS CDK etc. 2. Build and maintain automations to balance the load on load balancers e.g. moving services around based on data driven decisions to ensure high availability and quick mitigation for customers during outages. Tech stack: Python, Java, Perl, Ruby etc. 3. Participate in oncall shifts, support High Velocity Events such as Prime Days and Black Friday sales events. Provide trouble shooting and mitigations on distributed networking systems during incidents. ### Software Engineer @ Cisco Jan 2018 – Jan 2020 | San Francisco Bay Area - Worked on Cisco Cloud Native Broadband Router — a cloud native orchestration software composed of containerized microservices using Kubernetes, Docker, Go, etc. - Built Intelligent DOCSIS to simplify and automate complex problems of layer 3 cable network health monitoring, trouble shooting and recovery - Built Day 0 deployment automation tooling for Cloud CMTS, eliminated manual operations and significantly reduced deploy time ### Software Engineering Intern @ Black Lake Technologies Jan 2017 – Jan 2017 | Shanghai City, China Worked on a SaaS (software as a service) web app as Javascript developer using React.js, Relay and GraphQL. ## Education ### Master's degree in Computer Science University of Connecticut Jan 2015 – Jan 2017 ### Doctor of Philosophy - PhD in Electrical and Computer Engineering University of Connecticut Jan 2014 – Jan 2015 ### Master's degree in Electrical and Electronics Engineering University of Connecticut Jan 2012 – Jan 2014 ### Bachelor's degree in Automation Science and Engineering Xi'an Jiaotong University Jan 2008 – Jan 2012 ## Contact & Social - LinkedIn: https://linkedin.com/in/huizhong-gao --- Source: https://flows.cv/huizhong JSON Resume: https://flows.cv/huizhong/resume.json Last updated: 2026-03-22