Robert Kevin

• Improved release security by 60% through integration of SonarQube, Trivy, and OWASP ZAP into CI/CD pipelines, automating code quality and vulnerability checks pre-production • Reduced cloud misconfigurations by 40% by automating AWS Lambda functions for S3 object classification and auditing. • Accelerated deployment times by 30% via optimized CI/CD pipelines using Jenkins, ArgoCD, and Ansible Tower. • Ensured fault-tolerant infrastructure by deploying secure AWS stacks (VPC, EC2, RDS, S3, Route53) using Terraform and CloudFormation. • Streamlined incident resolution by automating log analysis and monitoring with Splunk, CloudWatch, and JIRA.

• Cut cloud provisioning times by 50% by implementing Infrastructure as Code (CloudFormation, ARM templates) for VPCs, RDS, and storage. • Boosted release efficiency by 45% with GitHub Actions for streamlined CI/CD workflows across AWS and Azure environments. • Enhanced application scalability by containerizing microservices and deploying them via Kubernetes (EKS) and Helm. • Reduced downtime risks through real-time monitoring of AWS Kubernetes clusters using Datadog and CloudWatch. • Increased automation ROI by scripting repository and deployment workflows using Python and Bash.

• Enabled 99.99% uptime by building scalable infrastructure with EC2, ECS, and auto-scaling groups. • Enhanced infrastructure consistency via reusable Terraform templates for rapid environment replication. • Cut operational costs by leveraging event-driven AWS Lambda functions for lightweight computing tasks. • Reduced manual deployment errors by 70% by managing CI/CD pipelines with Jenkins and Docker registry. • Improved compliance response time by automating threat detection with CloudTrail filters and Lambda based alerts.