Aslam Mohammad Abdul

WORK HISTORY

EDUCATION

ABOUT ASLAM MOHAMMAD ABDUL

Highly motivated and certified DevOps Engineer with 4 years of hands-on experience in continuous integration, continuous delivery (CI/CD), and cloud infrastructure management at a leading IT firm. Proficient in AWS, Kubernetes (Certified Administrator), and Infrastructure as Code using Terraform, focusing on automation, scalability, and system reliability. Proven ability to design and optimize delivery pipelines, resulting in significant reductions in deployment time and infrastructure costs. Seeking a challenging DevOps role to leverage technical expertise and drive platform modernization.Deployed and managed Kubernetes (EKS) clusters for microservices-based applications, ensuring high availability, scalability, and security • Automated application containerization using Docker and managed images in Amazon ECR, optimizing build times and storage costs • Designed and implemented end-to-end Jenkins declarative pipelines (using Groovy) for 30+ microservices, enabling daily deployments instead of bi-weekly, an increase in deployment frequency of 100%. • Configured ArgoCD GitOps workflows for automated deployments and version-controlled Kubernetes manifests across multiple environments • Utilized Terraform to provision and manage the entire AWS infrastructure, including VPCs, EC2, S3, EKS clusters reducing environment setup time from one day to under 15 minutes • Built and administered two highly available AWS EKS clusters (50+ nodes total) using Helm charts for packaging and deploying applications, resulting in 99.99% uptime for production services • Developed and maintained Ansible playbooks to automate the patching and secure hardening of all running EC2 instances, ensuring CIS benchmark compliance across the fleet • Integrated security scanning tools (e.g, SonarQube, Trivy) into the CI/CD pipelines (DevSecOps), ensuring all deployed artifacts met corporate security standards prior to release. • Established a robust monitoring stack using Prometheus for metrics collection and Grafana for visualization and alerting, which reduced Mean Time To Detection (MTTD) for critical issues by 50%.