I'm Curtis Mattoon

My Resume

I'm a skilled technologist and emergency responder who brings a unique blend of technical expertise and critical care experience to any challenge. My background includes automating cloud infrastructure and ensuring its security, as well as providing emergency medical services in diverse environments. I excel at diagnosing issues and mitigating risks, whether designing secure cloud systems or leading emergency response efforts. My passion for continuous learning, particularly in cybersecurity and AI, drives me to seek innovative solutions and improve outcomes through systems-level understanding.
[PDF Resume]

Experience

Sr. DevOps Engineer

DigitalLumens / OSRAM / SiteWorx Software (Boston, MA)

2019–2025

Led AWS/Kubernetes infrastructure for IoT platform; built internal tools in Go; owned security, CI/CD, and M&A integration.

DevOps Technician

Entic / Aquicore (Cambridge, MA)

2018–2019

Maintained IoT data pipelines; migrated legacy systems to Docker; assisted with SOC 2 compliance and cloud cost reduction.

DevOps Engineer

SSI / ResearchNow (Shelton, CT)

2017

Refactored Jenkins pipelines and AWS workflows for a global survey platform; introduced infrastructure-as-code practices.

Remote (Wilderness) Paramedic

Independent Contractor (Remote solar & wind sites throughout US)

2016-2017

Full-Stack Developer

Clayton Kendall (Pittsburgh, PA)

2012–2016

Built and deployed custom LAMP apps for e-commerce and internal ops; later took over infrastructure and deployment tooling.

Paramedic/Rescue Technician

Various (Pittsburgh, PA)

2008-2016

EMS Instructor

Community College of Allegheny County (Pittsburgh, PA)

2007-2016

EMT-Basic

Various (Pittsburgh, PA)

2004-2008

Technologies

Amazon Web Services (AWS)

Docker + Kubernetes

AI Risk & Ethics

Python

PHP 4/5

Ansible / Terraform / Puppet

Packer / EC2 Image Builder

PHP 7/8

Trivy / Grype / SonarQube / BlackDuck

MySQL / Postgres

AI/ML Literacy

EDR / SentinelOne

SIEM / Wazuh

InfluxDB / TimescaleDB

Neo4J / GraphQL

Cybersecurity / Compliance Frameworks

Pinecone / Weaviate

JavaScript

Microsoft Azure

C / C++ / Java

Google Cloud Platform (GCP)

Keras / PyTorch / TensorFlow

Ruby / R / COBOL

Certifications

Specializations

Security: A Comprehensive Approach

Illinois Tech

(approx. 133 hours)

Explainable AI

Duke University

(approx. 35 hours)

Machine Learning

Stanford University

(approx. 94 hours)

AI for Cybersecurity

Johns Hopkins University

(approx. 35 hours)

Cyber Security: Technology and Governance Specialization

University of London

(approx. 112 hours)

Homeland Security and Cybersecurity Specialization

University of Colorado

(approx. 39 hours)

News Post

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