Cody Dietz

コーディ ディエツ

Staff Engineer of the Software Variety

About Me

Architect and engineer with 10+ years building scalable, cloud-native systems powering millions of users Inventor on a patented malware-hunting platform; proven leader of teams and driving secure, high-impact automation Fluent across Go, Java, Python, C#, and Terraform with a track record of accelerating delivery and hardening infrastructure




You can access a PDF copy of my resume here

Patents

US 18/974,139

  • Automated Evaluation, Scoring, and Quarantine of Third-Party Patches for Application Software

Experience

Automox

Staff Software Architect / Senior Software Engineer

07/2021 - Present

Website

Ditch clunky legacy tools. Eliminate risk and automate the configuration, patching, and compliance of your Windows, macOS, and Linux systems with one cloud-native platform.

  • Architected and led development of PatchSafe, a patented third-party malware-hunting platform built with Go and Python on AWS, enabling secure patch validation across millions of endpoints
  • Promoted from Senior to Staff; led the Agent pod, overseeing performance optimization and scalable deployments using Go and Java
  • Owned critical backend microservices (Java/Spring Boot, Node.js), sustaining 5M+ daily requests with 99.8% uptime
  • Spearheaded Apple M1/M2 desktop agent integration using Objective-C/Swift/JavaScript
  • Built automation tooling adopted by 50+ engineers, cutting manual security tasks by 70%
  • Defined Infrastructure as Code/IaC standards with Terraform/Terragrunt across backend and frontend infrastructure
  • Established and ran security tabletop exercises and compliance frameworks, boosting SOC2 readiness
  • Modernized CI/CD by migrating from Jenkins to GitHub Actions; cut deployment times by 60% and raised test coverage by 30%

Certifications:

DocuSign

Technical Consultant II

01/2020 - 10/2021

Website

DocuSign ensures the security & mobility to digitally transform businesses

  • Engineered AI document processing enhancements for Insight AI using Python, C#, and Node.js on AWS, improving accuracy of legal document parsing by 20%
  • Built test automation suites validating complex document workflows in CLM; reduced manual QA hours by 40%
  • Delivered custom implementation and feature development for high-value enterprise customers
  • Authored developer training curriculum on Seal AI and CLM API integrations

Certifications:

Polywood

Senior Software Developer

11/2017 - 11/2019

Website
  • Led a 4-person dev team to build new production management systems in Laravel/PHP and TypeScript
  • Platform overhaul more than doubled production throughput and supported 2x sales growth
  • Introduced Docker-based dev environment, cutting onboarding time from 2 weeks to 2 days
  • Mentored junior developers and defined internal development standards

Do it Best Corp.

Contract Senior Software Engineer

04/2017 - 11/2017

Website
  • Maintained Azure-hosted catalog systems in C# as part of a rapid delivery team
  • Built full-stack mobile app (Java, Obj-C) for sales event operations; app adopted by 200+ store reps
  • Helped slash support ticket backlog by 92% in 6 months (400 → 30)

Sweetwater

Software Engineer

08/2016 - 04/2017

Website

Sweetwater is the world's leading music technology and instrument retailer

  • Automated image processing pipeline with Python/OpenCV, boosting photographer throughput 50%
  • Modernized CRM application in Objective-C, improving agent productivity and data entry speed
  • Built internal tools supporting shipping, ops, and executive planning teams

King + Knight

Software Engineer

01/2015 - 08/2016

Website
  • Built large-scale insurance data platform (C#/.NET/JavaScript on Azure), supporting real-time claims analytics
  • Developed native mobile apps in Obj-C and Java for industrial pumps, digitizing field operations
  • Contributed to embedded firmware with C and C++, and embedded testing in Python for water control systems

Education

University of Illinois

BS - Computer Science

  • Graduated Cum Laude
  • Electives in Machine Learning, Artificial Intelligence, and Computer Graphics
  • MS Course work in Computer Science for Georgia Tech
  • Notable courses: Elective Artificial Intelligence courses, Machine Learning, Neural Networks

University of Colorado Boulder

Candidate MS - Computer Science

  • Concentration in Generative AI and Machine Learning