Guthrie McAfee Armstrong

www · GitHub · LinkedIn · public@gmarmstrong.dev

Platform Engineering · DevEx · GitOps · Infrastructure as Code

Summary

DevOps and Infrastructure Engineer specializing in automating infrastructure and refining access and deployment systems on cloud platforms. Strong Python background spanning data engineering and a broad range of software engineering projects.

Skills

• Containers & Orchestration: Kubernetes (learning), Docker, ECS
• IaC & Automation: Terraform/OpenTofu, GitHub Actions, CircleCI
• Languages: Python, Go (learning), Kotlin, Java, SQL, Bash/shell scripting
• Cloud Platforms: Amazon Web Services, Google Cloud Platform
• Build Tools: Make, Gradle, Poetry, Nix
• Monitoring & Observability: CloudWatch, New Relic, PagerDuty
• Networking: AWS VPC, AWS VPN, Route53 (DNS), PrivateLink
• Access Control: IAM Identity Center (AWS SSO), OAuth, SAML, AWS Secrets Manager
• Data & Pipelines: PostgreSQL, S3, Amazon Redshift, BigQuery, Google Cloud Dataflow

Certifications

• AWS Certified Solutions Architect – Associate (SAA‑C03)
  Mar 2024 (Exp. Mar 2027) — [click to verify]

Professional Experience

Coalition, Inc. — Site Reliability Engineer II

Remote · Jun 2025 – present

New York Public Radio — DevOps/Platform Engineer

Remote · Oct 2022 – Feb 2025

• Led migration from legacy Terraform codebase to modular, versioned configurations in Terraform 1.x
• Built and integrated Terraform Cloud modules with GitHub Actions workflows, supporting ECS, EC2, and Lambda deployments and enabling rapid provisioning of custom AWS environments for internal teams
• Centralized identity and access management via IAM Identity Center; integrated with SAML/OAuth providers to secure and automate identity provisioning from Microsoft Entra ID (Azure AD)
• Tuned observability stack to reduce false‑positive alerts and improve MTTR, improving signal-to-noise for on-call rotation
• Developed Python‑based ELT pipelines for PostgreSQL and Redshift; improved query latency through schema and index optimization
• Integrated Cloudflare WAF to proactively detect malicious traffic, mitigate DDoS attacks, and ensure high availability for mission-critical web services

Open Source

• echo-service – Go/Kubernetes web microservice; Kustomize for dev/prod overlays, unit‑tested and published via GitHub Actions
• python-datamuse (78+ GitHub stars) – Python wrapper for the Datamuse API; used in creative NLP tools; unit tested with mocking
• vim-muse – Vim plugin for creative writers that fetches synonyms, rhymes, and semantic matches from an NLP API; unit tested and written for a hackathon
• letter-boxed – CLI-based solver for the NYT Letter Boxed puzzle; unit tested, written in Kotlin
• Contributed to Dangerzone PDF sanitizer (project of the Freedom of the Press Foundation)

Education

University of Georgia — B.S. Computer Science

Aug 2016 – Aug 2022

• Senior coursework: Data Security & Privacy (differential privacy, adversarial ML), Cloud Computing (GKE, EKS, Kubernetes), Computer Networks (TCP/IP, network topology, routing protocols), Combinatorics
• Publication: Boots and Bail on the Ground: Assessing the Implementation of Misdemeanor Bail Reforms in Georgia, Georgia Law Review 54(4), 2020 (with A. Woods et al.) [link]
• Presentation: l-Diversity of Felony Charges in k-Anonymous Jail Data, UGA CURO Symposium, 2020 (advised by S. Shannon)
• Presentation: Georgia Jail Data: Significance and Inaccessibility of Government Records, Historical Profiles of American Incarceration, 2019 (with A. Potts)

Research & Foundational Experience

UGA Rural Jails Research Hub — Intern Research Engineer

Remote · Apr 2020 – May 2021

• Wrote web scrapers for 43 county jail systems using Python Requests and Selenium; implemented parallelized processing to minimize compute costs to $20/mo
• Extracted semi‑structured records from PDF reports using regex and R
• Developed a containerized pipeline on GCP to ingest, clean, and store scraped data; implemented scheduling and alerting with Pub/Sub
• Standardized disparate datasets into a unified PostgreSQL schema using Hibernate for Java, enabling cross-county comparisons
• Implemented a multi-tiered ELT pipeline using GCP BigQuery and Dataflow, enabling downstream analysis while preserving strict data lineage and provenance

Willson Center Digital Humanities Lab, UGA — Undergraduate Research Assistant

Jan 2020 – May 2020

• Linked historical census microdata to anonymized datasets of enslaved individuals using R and Python
• Digitized archives via OCR (Tesseract) and NLP (spaCy); built named-entity extraction tools to surface structured metadata
• Led LaTeX and Pandoc workshops for researchers and faculty

Fernbank LINKS Robotics — Programmer & Mentor

2015 – 2016 (high school team)

• Programmed routines in Java for task execution; integrated sensors for field navigation; taught CAD fundamentals to teammates
• Helped organize and run regional FIRST Tech Challenge and BEST Robotics events; handled real‑time logistics and technical triage
• Co-led community outreach program teaching LEGO Mindstorms programming to elementary students