Hi, I'm Alex Williamson
software engineer|

I currently work at Cox Automotive where I work on the Data Platform team which organizes the data across all the brands Cox Automotive owns.

What I do

Software engineer at Cox Automotive on the Data Platform team - building Snowflake automation, RBAC workflows, and governance tooling using Spring Boot, AWS, and Terraform.

How I got here

Started as a chemical engineer after UGA, then taught myself Python and pivoted into software. Joined FedEx as my first dev role, then moved to Cox Automotive.

Education

BS in Biochemical Engineering, UGA. MS in Computer Science, Georgia Tech (2026), filling in the theory behind everything I learned on the job.

Outside work

Backpacking, chess, and running. Feel free to reach out about my experience or any of these.

Email LinkedIn GitHub

Experience

FedEx Services

Full Stack Developer II

Feb 2022 – Mar 2024 · Remote

Shipped two production full-stack applications — an incident tracking platform and a crisis communications dashboard — using Spring Boot, React, Angular, and Java, serving hundreds of FedEx operations users
Migrated two Spring Boot services from header-based auth to OAuth 2.0 PKCE flow with Okta, including HTTPS/SSL configuration, key store provisioning, and load balancer setup
Engineered dynamic search and pagination for the incident-reporting app using Spring Data JPA, enabling operations users to query past entries and build custom reports without engineering involvement
Integrated Nexus IQ, SonarQube, and Fortify scans into the Jenkins CI/CD pipeline, automating security and static analysis checks to enforce open-source compliance before deploy

Cox Automotive

Software Engineer II

Mar 2024 – Present · Atlanta, GA

Owned and operated production Snowflake governance microservices on the Data Platform, serving data and engineering teams across Cox Automotive, using Java, Spring Boot, AWS (Lambda, EventBridge, S3, EKS), Terraform, Docker, and Python
Designed an AI troubleshooting Slack bot in Python on the Strands Agents SDK, using RAG over internal GitHub repositories, wikis, and SharePoint sites with Amazon S3 Vectors for retrieval, integrated with a custom MCP server built in FastAPI on Amazon Bedrock AgentCore that queries CloudWatch logs in real time to accelerate on-call incident triage
Architected an event-driven classification microservice that processes DDL events across roughly 200,000 Snowflake tables, with readiness gating, async orchestration with retry, and override paths for known classifications
Built a real-time data pipeline syncing Snowflake to Monte Carlo for over 1,000 datasets, propagating permissions and metadata within minutes and driving platform-wide data quality monitoring adoption
Redesigned Snowflake temporary and break-glass access, extending supported durations from 4 hours to 2 weeks and adding an independent grant-history audit layer that alerts within minutes on any grant issued outside the approved workflow
Led rollout of Snowflake network-rule enforcement across 2,000 service accounts, requiring approved network rules for connectivity to restrict access by IP and close a class of network-perimeter risks

Download Resume

Skills

Languages

Frontend

Backend

Database

Tools

Cloud

Nexus IQ

SonarQube

Strands Agents SDK

React

Docker

PostgreSQL

Spring Boot

Java

Spring Data JPA

Mockito

Python

AWS IAM

Terraform

Git

FastAPI

Langfuse

AWS Lambda

SQS

MySQL

CSS

AWS

TypeScript

HTML

GitHub

Postman

Maven

JavaScript

Snowflake

CloudWatch

EKS

GitHub Actions

MCP

Angular

Amazon S3 Vectors

Jenkins

Fortify

EventBridge

RAG

SQL

Amazon Bedrock

Bedrock AgentCore

JUnit

OAuth 2.0