Kashif J

About Kashif J

Senior Cloud/DevOps engineer with 8 years of experience in Configuration Management tools like Ansible, Chef and Continuous Integration and Continuous Delivery (CI/CD), Build and Release, Linux and System Administration with cloud platforms like Amazon Web Services (AWS), Azure, OpenStack, GCP, under the Unix/Linux/Windows platform’s with strong knowledge on the principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, and Waterfall methodologies.

Experience

1. Sr Cloud Devops Engineer

   AT&T

   Sep 2019 — Present

   Experience in core AWS services (S3, EC2, ELB, EBS, Route53, VPC, auto scaling etc.) and deployment services (OpsWorks and Beanstalks, Lambda) and security practices (IAM, KMS, SSM, Cloud watch and Cloud trail) and services Kinesis, SNS, SQS, EMR, RedShift, ECS, Elastic Bean Stalk, X-ray. Implemented end-to-end infrastructure automation by creating and managing AWS services Elastic Beanstalk, RDS Aurora, Lambda, S3, Neptune using Terraform that support Docker running application requirements. Migrated the MySQL database from on-premises to AWS Aurora RDS, thereby enabling automatic extending the storage of the system. Used AWS Data migration services to combine databases together, thereby enhancing data compatibility. Manage the user accounts (IAM- Identity Access Management), RDS, ROUTE 53, VPC, RDB, DynamoDB, SES, SQS and SNS service in AWS cloud. Used Ansible to configure the built resources and troubleshoot the build issues with ELK and work towards the solution. Managed Kubernetes charts using Helm, and built reproducible Kubernetes applications builds, managed Kubernetes manifest files and Helm package releases. Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS). Configured ‘Kubectl’ to interact with Kubernetes infrastructure and used AWS Cloud Formation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances. Deployed Flux in Kubernetes Cluster for continuous delivery of Helm Charts by integrating Flux with the Helm repository. Set up Docker-in-Docker (DIND) as a Daemon set to use underlying host daemon to provision Kubernetes pods as Jenkins slaves and use the dynamic pods to run Jenkins jobs. Experience in Design and implement service discovery on EKS (Kubernetes). Used AWS Fargate in collaboration with AWS ECS and AWS EKS for container-based application running to provide high security and reliability