Open to opportunities

Daniel Griffin

@danielgriffin

DevOps & Cloud Engineer skilled in AWS, Terraform, and CI/CD—building fast, reliable, automated systems for modern SaaS teams.

United States

Message

What I'm looking for

looking for a remote DevOps or Cloud Engineering role where I can take ownership of infrastructure design, automation, and observability. I value small, fast-moving teams that prioritize autonomy, clean engineering practices, and continuous improvement.

I’m a self-taught DevOps and Cloud Engineer with a strong foundation in Information Systems from the University of Maryland, Baltimore County (UMBC). My work focuses on designing, automating, and securing scalable cloud infrastructure for SaaS and data-driven teams.

Over the past few years, I’ve built and managed AWS and Azure environments using Terraform, Ansible, Docker, and Kubernetes, integrating GitHub Actions, Prometheus, and Grafana to deliver resilient, observable systems. I enjoy transforming manual infrastructure into reliable, automated pipelines that help teams deploy faster and operate with confidence.

My experience includes containerizing microservices, creating end-to-end CI/CD workflows with rollback protection, and implementing monitoring that reduced incident-response times by 30%. I’m fluent in Python scripting, configuration management, and Zero-Trust security practices.

Beyond technical work, I’m passionate about continuous learning, automation strategy, and mentoring aspiring engineers who want to enter cloud careers. I value ownership, clarity, and async collaboration—qualities that help small distributed teams scale sustainably.

I’m now seeking a remote DevOps or Cloud Engineering role where I can contribute to building and maintaining reliable, cost-efficient infrastructure and play a hands-on role in a company’s next stage of growth.

Experience

Work history, roles, and key accomplishments

Current

dev ops engineer

Current

WLMC

Nov 2024 - Present (1 year)

Automated AWS infrastructure with Terraform and GitHub Actions, cutting setup time 40%. Built CI/CD pipelines with security scans and rollbacks, achieving 100% deployment success. Deployed EKS clusters via Helm for scalable microservices and created monitoring with Prometheus, Grafana, and CloudWatch, reducing incident response time by 30%.