Vincent Cradler

About Vincent Cradler

I am a Security Engineer with a Production Engineering DNA. My approach to security is rooted in building high-performance, automated systems that scale—whether that’s migrating legacy frameworks to Rust (PyO3) for a 2x performance gain or architecting data pipelines that process 10k+ messages per second.Currently at Workday, I focus on the intersection of Security Operations and Machine Learning. I’ve developed automated pipelines between XSOAR and Splunk to enhance behavioral analysis and engineered modular, containerized RAG frameworks. I believe that if a security process is manual, it should be automated; if it’s slow, it should be optimized.My technical perspective is shaped by a unique trajectory: from maintaining mission-critical pneumatic systems for the USAF to engineering high-scale infrastructure at Meta, Cisco Meraki, and Palo Alto Networks. I bridge the gap between low-level systems programming and cloud-native security orchestration.I thrive on solving complex \"plumbing\" problems—optimizing alert latency by 99.9%, reducing on-call loads through automation, and building rapid detonation environments for malware analysis.Languages: Python, Bash, SQL, Go, Rust.Security & Ops: XSOAR, Splunk, EDR, SOC Automation.Infrastructure: Terraform, AWS/GCP, Containerization, Kafka, RabbitMQ.

Experience

1. Security Engineer

   Workday

   Mar 2024 — Present · Pleasanton, CA, US

   Developed and automated data export pipelines from XSOAR and Splunk, enabling internal machine learning models to perform enhanced pattern recognition and behavioral analysis. This improved the accuracy of anomaly detection and facilitated more efficient pattern observation for security analytics.Create and update internal legacy pipelines on AWS with proper automated workflows for SOC Triage.Engineered a modular, containerized RAG (Retrieval-Augmented Generation) framework, enabling cross-functional teams to deploy and fine-tune bespoke LLM bots locally for specialized security use casesStreamlined threat analysis by building a high-speed pipeline for automated EDR telemetry collection and sandboxed malware detonation, accelerating incident response timelines.

Education

• Arizona State University

  Electrical, Electronics and Communications Engineering

  2016 — 2020

• Georgia State University

  Computer Engineering

  2019 — 2020

• Kennesaw State University

  Computer Engineering, Engineering

  2021 — 2023