Ryan Gaytan
@ryangaytan
Senior DevOps Engineer specializing in scalable AWS infrastructure, CI/CD automation, and reliable Kubernetes deployments.
United StatesWhat I'm looking for
I’m a Senior DevOps Engineer with 12+ years of experience designing and building scalable cloud infrastructure and CI/CD pipelines for production-grade systems. I specialize in AWS cloud environments, infrastructure automation, and containerized deployments with Docker and Kubernetes, with a strong focus on reliability and scalability.
In my roles at Affirm, Chewy, and Bazaarvoice, I’ve led automation and optimization efforts that materially improved deployment speed, system stability, and operational efficiency. I’ve designed multi-region, highly available architectures with strict reliability and compliance requirements, including owning deployment architecture for transaction-critical services and maintaining production uptime at scale.
I’m especially proud of measurable outcomes across CI/CD, infrastructure as code, and observability—cutting deployment time from hours to minutes, standardizing 200–250+ cloud resources with Terraform, and improving incident metrics by implementing observability with CloudWatch, Prometheus, and Grafana. I also strengthen secure access and compliance using IAM, VPC segmentation, RBAC, and Secrets Manager, while continuously optimizing performance and cloud costs.
Experience
Work history, roles, and key accomplishments
Designed and supported scalable AWS cloud infrastructure for financial/payment systems powering 25+ production services with 99.95% uptime across distributed, multi-region environments. Built and optimized CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI), cutting deployment time from 2–3 hours to 12 minutes and increasing release frequency by 65%.
Designed and maintained large-scale AWS infrastructure for high-traffic eCommerce across multi-region environments, sustaining 99.97% production uptime during peak events. Modernized CI/CD and Kubernetes (EKS) operations, and improved observability to reduce incident detection time by 50%.
Built and operated scalable AWS infrastructure for 20+ production services, maintaining 99.95% uptime across dev, staging, and production. Implemented Terraform-based infrastructure automation and containerized workloads with Docker and Kubernetes, reducing deployment time from 2–3 hours to under 15 minutes.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Bachelor of Science, Computer Science
2010 - 2014
Earned a Bachelor of Science in Computer Science at The University of Texas at Austin (2010–2014).
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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