Aadhil Ahamed

Designed, Executed, and maintained highly available, scalable, and cost-optimized cloud infrastructure on AWS and Azure following SRE and DevOps best practices like Cloud Security, Disaster Recovery and Network Security. Optimized AWS cloud costs using AWS Cost Explorer, billing dashboards, tagging strategies, and cost allocation reports, achieving 15% cost reduction. Configured AWS EC2 On-Demand instances, Auto Scaling Groups (ASG), custom AMIs, and load-based scaling policies to improve performance and fault tolerance which reduced downtime by 20%. Managed 3000+ AWS Instances. Setup Azure Virtual Machines and VM Scale Sets (VMSS) with autoscaling, alerts, and Azure Monitor to improve availability and reduce service impact. Managed AWS Route 53 DNS with public and private hosted zones, internal and external DNS records, and health checks for reliable traffic routing. Built and maintain CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodeBuild for automated build, test, and deployment across AWS, Azure, and Kubernetes. Provisioned and managed multi-cloud infrastructure using Terraform (Infrastructure as Code), reducing infrastructure provisioning time by 30%. Automated server provisioning and configuration management using Ansible, reducing manual operational effort by 20%. Containerized applications using Docker by creating and optimizing Dockerfiles, integrating Docker builds into CI/CD pipelines, managing images in AWS ECR, and deploying to Kubernetes (EKS/AKS). Deployed, configure, and operated Kubernetes clusters to ensure high availability, scalability, and resilience of containerized workloads. Implemented GitOps workflows using Argo CD for automated Kubernetes deployments, version-controlled manifests, and rollback strategies. Managed Kubernetes application deployments using Helm charts with templating, versioning, and environment- specific configurations. Monitored Kubernetes pods, nodes, and services using Prometheus and Grafana to track resource utilization, latency, and error rates. Developed Bash and Python automation scripts for Linux system administration to reduce repetitive tasks and improve efficiency. Applied centralized monitoring and observability using AWS CloudWatch with AWS SNS, Prometheus, and Grafana for proactive issue detection.

Managed cloud environments to meet business requirements with agility, efficiency, and reliability. Setup and monitor ec2 instance. Working with s3 buckets. Backup and restoring of volumes. Designed AWS CloudWatch for monitoring, alerting, and high availability of server infrastructure. Setup AWS Route 53 for domain configuration, DNS records, and organizational domain setup. Performed Linux system administration tasks, including user management, package installation, performance monitoring, and troubleshooting. Install, configure, and monitoring Apache TomEE application servers, including SSL certificate generation and HTTPS configuration. Performed server configuration and customization to meet application and security requirements. Executed OS patching and vulnerability remediation on Apache TomEE servers to maintain system security and compliance. Introduced Ansible to automate configuration management and deployment processes, improving consistency and scalability through Infrastructure as Code (IaC) which reduced 20% of the manual setup. Implemented centralized server automation using YAML-based Infrastructure as Code for improved manageability and repeatability. Installed, configured, and maintained MongoDB and PostgreSQL databases to support application workloads. Implemented disaster recovery (DR) strategies for databases to ensure high availability and data reliability. Worked with SonicWall firewalls to implement network security policies and enhance infrastructure protection. Enhanced infrastructure security by up to 95% through firewall configuration, access control, and network security hardening Assisted in network setup and troubleshooting by working with switches and routers. Introduced docker and Kubernetes technologies for containerizing the application and orchestration.