Houston, Texas, United States
I’m a Cloud, DevOps, and Site Reliability Engineer with experience building scalable, automated, and secure infrastructure across Azure, AWS, and hybrid environments. I work heavily with Infrastructure as Code (Terraform, Ansible), modern CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization, Kubernetes orchestration, and cloud-native architecture. My strengths include improving deployment speed, strengthening reliability, cutting costs, and designing systems that are easy to operate and maintain. A lot of my work centers on building platforms that run consistently at scale. I use automation, SLO-driven reliability practices, monitoring/alerting frameworks, RBAC/IAM governance, and DevSecOps workflows to keep environments secure and stable. I’ve implemented blue/green deployments, canary rollouts, automated remediation, policy-as-code, Zero Trust, MTTR reduction, and cloud security posture management. I also integrate AI-assisted automation into pipelines and cloud operations for smarter log analysis, anomaly detection, and deployment hardening. Across multi-cloud architecture, cloud governance, distributed systems, incident response, drift detection, and platform engineering, I’m always focused on reducing toil, improving velocity, and building reliable systems that scale cleanly. I’m open to connecting with teams working in DevOps, SRE, Platform Engineering, or Cloud Infrastructure who are building modern, automated systems and want to push reliability and efficiency forward.
• Managed enterprise-scale Azure and Delfi infrastructure supporting 1,800+ users across 140+ business units and $50M+ in cloud resources. • Led a distributed team of four contractors across three continents, running standups, assigning work, and driving modernization deliverables. • Automated identity workflows and IRM audits using Terraform, Ansible, and policy-as-code, reducing audit cycles from 8 weeks to 1 and eliminating 400+ hours of manual toil. • Implemented IaC-driven cloud governance and automated cleanup pipelines, reducing annual cloud spend by 23%. • Migrated SAP S/4HANA and Quorum workloads from on-prem to Azure; built automated VM provisioning, patching, and disaster recovery workflows. • Strengthened CI/CD pipelines with SAST/DAST, GitHub Advanced Security, and AI-assisted validation to improve deployment reliability and detect failures earlier. • Built ETL pipelines for multi-terabyte datasets using SQL + Azure Data Lake, cutting data prep time by 90% and improving analytics throughput. • Consolidated logging and observability into Azure Monitor and Log Analytics, reducing manual triage. • Implemented canary and blue/green deployment strategies to reduce release risk and improve rollout safety. • Developed automated remediation workflows and SLO-driven runbooks to reduce manual interventions and improve system reliability. • Built an internal Azure AI assistant to automate ticket triage and routine cloud actions, reducing manual workload by 75%+ and improving engineer productivity. • Worked with cybersecurity and data engineering teams to enforce IaC compliance, strengthen RBAC governance, and maintain secure cloud baselines. • Improved service resiliency by designing HA architectures, optimizing distributed system workflows, and applying fault-tolerant patterns across critical workloads. • Improved developer experience by streamlining deployment workflows, optimizing onboarding, and reducing friction across CI/CD and cloud provisioning pipelines
• Designed and optimized CI/CD pipelines using Jenkins, Azure DevOps, and GitHub Actions; improved deployment consistency and reduced build failures by 25%. • Streamlined release engineering workflows, cutting burn cycle time by 15% YoY and eliminating critical bottlenecks across multiple application teams. • Automated provisioning for 50+ cloud and on-prem workloads using Terraform and ARM templates, improving consistency and reducing configuration drift. • Containerized 20+ applications using Docker and AKS, improving uptime, scalability, and regional resiliency. • Enhanced observability through Azure Monitor and Application Insights, reducing incident response time by 75% and improving alert quality. • Reduced deployment rollbacks by 40% through improved testing (unit, integration, regression) and proactive validation steps. • Implemented canary and blue/green deployment strategies to minimize production risk and improve rollout safety. • Strengthened RBAC governance, secrets management, and DevSecOps practices, reducing access violations by 50% YoY. • Collaborated with platform, QA, and cybersecurity teams to improve security baselines, release quality, and operational reliability across the SDLC. • Implemented monitoring and alerting using Azure Monitor, Application Insights, and Log Analytics to proactively detect and resolve infrastructure issues • Oversaw IAM governance for internal testing infrastructure, maintaining secure and compliant user access; led weekly company-wide integration test cycles to ensure end-to-end system quality and readiness. • Performed verification and validation of production defect fixes in Azure-hosted and on-prem applications, ensuring stability and functionality for large-scale deployments. • Improved security of company code and reduced known vulnerabilities by over 50% year over rear (YoY) through utilization of CI/CD tools such as Jenkins and Black Duck and updating code libraries to use more secure APIs.
• Built a web-based IoT monitoring dashboard for 200+ devices, consolidating system metrics, health checks, and alerts into a real-time interface that improved visibility for engineering teams. • Automated device discovery, logging, and alert workflows, reducing manual troubleshooting and saving 16+ staff hours weekly. • Led backlog grooming and sprint planning during Agile development cycles; coordinated with systems engineering, IT, and InfoSec teams to deliver features safely and on time. • Integrated the monitoring platform into Dell’s internal infrastructure with secure rollouts, automated testing, and CI/CD-backed deployments. • Improved tool reliability and maintainability by enhancing telemetry, logging, and testing coverage. • Contributed to architecture discussions and design reviews for expanding IoT system capabilities. • Gained foundational experience in DevOps, observability, and infrastructure automation through hands-on ownership of end-to-end tooling.
• Migrated legacy platform management interfaces from IPMI to Redfish APIs, improving maintainability, interoperability, and security posture. • Built automated testing workflows to enhance performance, concurrency, and penetration testing coverage across multiple product lines. • Collaborated with hardware, security, and QA teams to troubleshoot platform issues and strengthen validation processes. • Developed tooling that improved test reliability and reduced manual engineering overhead. • Contributed to system robustness and firmware quality through automation, structured testing, and cross-team coordination.