> Casey Harford █

Senior Software Engineer – GPU Infrastructure

Terrebonne, Oregon

> Summary

Seasoned engineer specializing in GPU infrastructure, distributed compute, and high‑scale deployment tooling. Extensive experience building internal frameworks, performance-critical systems, and automation used across large engineering organizations. Comfortable designing end-to-end solutions spanning hardware, firmware, kernel-level behavior, and distributed cloud services.

> Skills

GPU Infrastructure, Distributed Systems, HPC Workloads
Go, Python, C/C++, Linux systems programming
Kubernetes, container orchestration, service deployment frameworks
Automation tooling, internal developer platforms, CI/CD
Observability, performance profiling, system optimization
Hardware bring‑up, low‑level debugging, protocol analysis

> Experience

Senior GPU Infrastructure Engineer – LinkedIn

Apr 2024 – Present

Lead engineering work on GPU fleet lifecycle, provisioning, orchestration, and performance systems.
Developed internal frameworks and automation tooling supporting large-scale compute clusters.
Improved operational efficiency, observability, and reliability across multiple teams.

Senior Site Reliability Engineer – LinkedIn

Sep 2016 – Apr 2024

Built and maintained large-scale production systems, automated workflows, and led incident response processes.

Weebly | San Francisco, CA

Automation Engineer & Software Engineer III

Developed automation frameworks, CI/CD pipelines, and operational tools for web hosting services.

Build.com | Chico, CA

Lead Support Engineer & QA Automation Engineer

Provided escalated support and implemented test plans across software lifecycle.

Best Buy

Counter Intelligence Agent

Troubleshot and resolved client computer issues.

Pacific Gas and Electric Company

Linux System Administrator Intern

Deployed and supported Red Hat Enterprise Linux servers.

> Education

Bachelor of Science in Computer Information Systems | CSU Chico

> Selected Contributions

Architected and maintained internal GPU infrastructure systems and operational frameworks.
Improved reliability, observability, and efficiency of large-scale compute clusters.
Led cross-team architectural decisions and RFC-driven design discussions.
Developed tooling and frameworks to streamline deployments and monitoring workflows.

> Additional Interests

Linux, embedded systems, and microcomputers
RC vehicles, drones, and FPV systems
Home-lab, virtualization, networking
Automation and custom tooling