Burleson, Texas, United States
Senior DevOps Engineer with 6+ years of experience designing, automating, and operating cloud-native infrastructure across AWS, Azure, and Kubernetes. Strong expertise in Terraform, Docker, Helm, GitHub Actions, Jenkins, Azure DevOps, and GitOps using ArgoCD. Proven track record of improving deployment velocity, system reliability, and security through Infrastructure as Code, CI/CD automation, DevSecOps practices, and observability with Prometheus, Grafana, ELK, Datadog, and CloudWatch. Experienced in supporting production Kubernetes platforms, multi-region architectures, SLO-driven operations, and incident response. Actively focused on cloud optimization, automation, and scalable platform engineering.
Engineered high-availability,multi-region Kubernetes clusters using AWS EKS, Helm, and Terraform to support production-grade workloads, achieving 99.95% uptime and improving cross-region failover capabilities. Developed and managed end-to-end CI/CD pipelines with GitHub Actions and ArgoCD,streamlining over 300 deployments per month and increasing deployment throughput by 60% for agile development teams. Designed real-time monitoring architecture using Prometheus, Grafana, and AWS CloudWatch, enabling visualization of 150+ system and application metrics and decreasing outage durations by over 35%. Enforced cloud security by integrating IAM roles, HashiCorp Vaultsecretsmanagement, and automated TLS certificate provisioning, reducing manual misconfiguration errors and lowering incident response times by 40%. Partnered with cross-functional teams to define and track service-level objectives(SLOs), resulting in a 28% reduction inmean time to recovery (MTTR) during high-priority incidents
Migrated monolithic legacy applicationsto container-basedmicroservices using Docker, Helm, and Azure Kubernetes Service (AKS), achieving 70% improvement in deployment speed and scalability. Builtreusable Terraform modules and orchestrated automated infrastructure pipelines using Azure DevOps and Ansible, enabling consistent provisioning across staging, testing, and production environments. Deployed centralized logging solutions with ELK Stack and Splunk, accelerating root cause analysis, improving compliance reporting, and reducing critical incident resolution times by 40%. Integrated static code analysis and container scanning with SonarQube, Snyk, and Trivy into CI/CD workflows, eliminating over 95% of high-severity vulnerabilities in build pipelines. Executed quarterly chaos engineering simulations using Gremlin to validate resilience strategies, enhance failover automation, and enforce recovery procedures for critical systems